feat: add provider-neutral tracker automation

2026-08-17 22:36:05 -04:00
263 changed files with 1743 additions and 9202 deletions
@@ -1,32 +1,119 @@
 # Project Context Pack
 Generated: 2026-08-17
 Root: /home/sjb/Projects/personal/ws-sjb-skills/wt-master
 Working directory: .
 Status: fresh
 ## Purpose
-Repository of agent skills: each skill is a folder with a `SKILL.md` plus optional references, scripts, or assets.
+A collection of agent skills (slash commands and behaviors) loaded into Steve Beaulac's AI coding agents. Each skill is a SKILL.md file that teaches the agent how to handle a specific task — from codebase design and TDD to Obsidian PKM workflows and tmux agent launching.
 ## Project type
 - **Agent skill repository plus standalone Python tracker package**
 - Languages: Python and Markdown, one Bash script (detect-agent), one shell script (tmux-open)
 - Package manager: `pyproject.toml`
 - Build/test tools: `python -m unittest discover`
 - Agent guidance: `AGENTS.md` at root, `docs/invocation.md` for invocation conventions, `docs/agents/` for issue tracker / triage labels / ADR wiki / domain docs
 ## Structure
- `skills/` — skills grouped by category; each bucket has a README index.
+```
- `skills/setup-skills/` — one-time repo configuration skill and its supporting guides.
+.
- `README.md` — complete index of skills by invocation type and category.
+├── AGENTS.md                    # Top-level agent instructions for this repo
- `AGENTS.md` — repository conventions and pointers to agent documentation.
+├── README.md                    # Project overview, lists user-invoked and model-invoked skills
- `docs/invocation.md` — user-invoked vs model-invoked behavior.
+├── .gitignore                   # Excludes docs/adr/
- `docs/agents/` — issue tracker, triage labels, ADR wiki, and domain-document conventions.
+├── .agent/
- `docs/engineering/` — reusable engineering process references.
+│   └── project-context.md       # This file
- `docs/adr/` — ADR wiki clone; gitignored.
+├── docs/
- `.agent/project-context.md` — this context pack.
+│   ├── invocation.md            # Model-invoked vs user-invoked definitions
 │   ├── agents/
 │   │   ├── adr-wiki.md          # ADR wiki setup docs
 │   │   ├── domain.md            # Domain docs layout
 │   │   ├── issue-tracker.md     # Gitea issue tracker docs
 │   │   └── triage-labels.md     # Five-label triage vocabulary
 │   └── adr/                     # ADR wiki clone (gitignored)
 ├── tracker/                    # Provider-neutral Python CLI/library
 ├── tracker_automation/          # Compatibility import name
 ├── tests/                       # Public operation-boundary tests
 ├── pyproject.toml               # Package metadata and console scripts
 └── common/
    ├── README.md                # Lists all common skills by invocation type
    ├── engineering/             # Model-invoked: lsp-code-analysis, pkm-curation; User-invoked: commit-staged, implement-issue, project-context-pack, setup-skills
    ├── productivity/            # (currently only README.md)
    ├── pkm/                     # User-invoked: conversation-summary, crit, research-vault, youtube-video-capture; Model-invoked: pkm-curation
    ├── personal/                # (currently only README.md)
    ├── misc/                    # User-invoked: tmux-launch-agent
    ├── in-progress/             # User-invoked: agent-handoff, knowledge-gardener
    └── deprecated/              # Deprecated forge-* and dsp-* skills
 ```
-## Skill categories
+## Important files
-`engineering`, `in-progress`, `misc`, `personal`, `pkm`, `pstack`, `productivity`, `setup-skills`, `skill-authoring`, and `thinking-and-docs`.
+- `AGENTS.md` — Agent entry point that describes structure, categories, and references docs
 - `README.md` — Index of all skills divided into user-invoked and model-invoked
 - `docs/invocation.md` — Defines the invocation model (disable-model-invocation frontmatter key, human vs model reachability, dependency rules)
 - `docs/agents/` — Agent documentation for issue tracker, triage labels, ADR wiki, domain docs
 - `common/engineering/project-context-pack/SKILL.md` — The skill that generated this file
 - `common/misc/tmux-launch-agent/SKILL.md` — Fork agent CLI into new tmux window (user-invoked)
 - `common/misc/tmux-launch-agent/tmux-open` — Reusable script that opens a command in a new tmux window/session
-## Conventions
+## Commands
- Skills are user-invoked when frontmatter sets `disable-model-invocation: true`; otherwise they are model-invoked.
+- Build/package: `python -m pip install .`
- Keep root and bucket README indexes synchronized with `SKILL.md` frontmatter and file paths.
+- Test: `python -m unittest discover -v`
- Read `docs/invocation.md` for invocation rules; read the relevant `docs/agents/` guide for tracker, triage, ADR, or domain-doc work.
+- Typecheck: `lsp_diagnostics` on `tracker/` and `tests/`
- Source files in this repository are authoritative; global installed copies are separate.
+- Run: `python -m tracker` or installed `tracker`
-## Validation
+## Entry points
-There is no build or test suite. For index changes, verify every `SKILL.md` appears once in the root index and its category index, links resolve, and invocation grouping matches frontmatter.
+- `AGENTS.md` — loaded by the AI agent as project instructions (referred to in pi's agent config)
 - Each `SKILL.md` under `common/` — referenced by agents via slash commands or auto-invocation
 ## Search and symbol notes
 - All skills are `SKILL.md` files — search with `fd SKILL.md`
 - Bucket READMEs: `fd README.md common/`
 - Skills are classified as **user-invoked** (`disable-model-invocation: true` in frontmatter) or **model-invoked** (default, no frontmatter flag)
 - Dependencies between skills use prose invocation ("Run the `/grilling` skill"), not file cross-references
 - Shared reference docs live inside the owning skill's directory; other skills reach that material by invoking the skill
 ## Files inspected
 - `AGENTS.md` — root agent instructions — fresh
 - `README.md` — project overview and skill index — fresh
 - `docs/invocation.md` — invocation model definitions — fresh
 - `.gitignore` — excludes docs/adr/ — fresh
 - `common/README.md` — common bucket index — fresh
 - `common/misc/README.md` — misc bucket index — fresh
 - `.agent/project-context.md` — this file (refreshed from stale 2026-06-25 version)
 ## Exclusions
 - `.git/` — VCS data
 - `docs/adr/` — gitignored ADR wiki clone
 - `node_modules/`, `dist/`, `build/`, `target/`, `.venv/`, `__pycache__/`, `vendor/`, `coverage/` — not present, but excluded by policy
 - `/home/sjb/.agents/skills/` — global install, NOT the source of truth for this repo
 - Binary files, large artifacts, credentials, secrets, personal data
 ## Navigation rules for future agents
 - Start with `fd SKILL.md` to find all skills, then narrow by `fd SKILL.md common/<category>/`
 - To understand a skill's purpose, read its `SKILL.md` and the bucket `README.md` that indexes it
 - For invocation rules (user-invoked vs model-invoked), read `docs/invocation.md`
 - For agent-level docs (issue tracker, triage, ADR, domain), check `docs/agents/`
 - Do not browse directories file-by-file; use `fd` and `rg` first
 - Track every inspected file in this cache
 - Re-read a file only when it changed, the cache is stale, or exact details are needed
 ## Edit boundaries
 When cwd is inside this repo, all file edits MUST be scoped to paths under the repo root (`/home/sjb/Projects/personal/ws-sjb-skills/wt-master`). Do NOT touch files under `/home/sjb/.agents/skills/` or `/home/sjb/.pi/` — those are the installed/runtime copies, not the source of truth. The global install is synced separately; this repo is where source edits happen.
 ## Refresh notes
 - This is a markdown-only repo with no build artifacts; refreshes are rarely needed unless skills are added or removed
 - To refresh, re-run `tree -a -I '.git' -L 4` and re-read any changed bucket READMEs or SKILL.md files
 - The `docs/adr/` directory is gitignored — if ADR data is needed, check the Gitea wiki directly
 - If a skill is moved between buckets, update all README.md files that reference it (root, common, source bucket, destination bucket)
@@ -1,2 +1,3 @@
 docs/adr/
-.orchestrate/
+__pycache__/
 *.py[cod]
@@ -1,19 +1,28 @@
 # Steve Beaulac Skills
-A collection of agent skills (slash commands and behaviors) loaded into AI coding agents. Skills live under `skills/`, grouped by purpose; each bucket README and the root README index its `SKILL.md` files by invocation type.
+A collection of agent skills (slash commands and behaviors) loaded into my agent.
-## Skill buckets
+# Structure
 Skills are organized into buckets based on where they can be used and their category.
 - Use `/common/` for skills that work in all CLI agents.
 - Use `/common/misc/` for skills that work in all CLI agents and are in the misc category.
 - Use an agent-specific bucket only when a skill is intended for a specific agent.
 Skill are organized into categories based on their function. For example, `/common/misc/` is a bucket for miscellaneous skills that work in all CLI agents.
 If we have a skill that is only relevant to a specific agent, we can put it in an agent-specific bucket. For example, if we have a skill that is only relevant to the `opencode` agent, we can put it in `/opencode/misc`.
 ## list of categories
 - `engineering/` — daily code work
- `in-progress/` — drafts not yet ready to ship
+- `productivity/` — daily non-code workflow tools
 - `misc/` — kept around but rarely used
- `personal/` — tied to the user's own setup, not promoted
+- `personal/` — tied to my own setup, not promoted
 - `pkm/` — personal knowledge management
- `pstack/` — personal agent workflow skills
+- `in-progress/` — drafts not yet ready to ship
- `productivity/` — general workflow tools
+- `deprecated/` — no longer used
 - `setup-skills/` — one-time repository setup skill and its references
 - `skill-authoring/` — create and maintain agent skills
 - `thinking-and-docs/` — decisions and documentation workflows
 Each bucket folder has a `README.md` that lists every skill in the bucket with a one-line description, with the skill name linked to its `SKILL.md`. Bucket `README.md`s and the top-level `README.md` group entries into **User-invoked** and **Model-invoked**.
@@ -23,7 +32,7 @@ Every `SKILL.md` is either user-invoked (`disable-model-invocation: true`, reach
 ### Issue tracker
-Issues are tracked in Gitea on gitea.sagacity.ca. See `docs/agents/issue-tracker.md`.
+Issues are tracked in Gitea on gitea.sagacity.ca; use the provider-neutral `tracker` package for normal automation. See `docs/agents/issue-tracker.md` and `docs/agents/tracker.md`.
 ### Triage labels
@@ -39,7 +48,7 @@ Gitea wiki at `git@gitea.sagacity.ca:steve/Skills.wiki.git`, cloned into `docs/a
 ## Project Context Pack
-Agent memory file that describes the repo's context, codebase, and navigation rules. See `.agent/project-context.md`.
+Agent memory file that describes the repo's context, codebase, and navigation rules. See `.agents/project-context.md`.
 ### Agent CLI
@@ -1,139 +1,27 @@
 # Skills
-Agent skills (slash commands and behaviors) loaded into AI coding agents.
+Agent skills (slash commands and behaviors) loaded into my agent.
-Skills are grouped by invocation type. [User-invoked](docs/invocation.md) skills run only when a person invokes them; model-invoked skills can also be selected automatically.
+## Tracker automation
-## Credits
+This repo also ships the standalone provider-neutral `tracker` CLI/library. See [`docs/agents/tracker.md`](docs/agents/tracker.md) and [`tracker/README.md`](tracker/README.md) for migration guidance.
 Many of these skills were created or originated by the following people and organizations:
 - [Matt Pocock](http://mattpocock.com)
 - [poteto](https://github.com/poteto?tab=repositories)
 ## User-invoked
-### Setup
+- [agent-handoff](common/in-progress/agent-handoff/SKILL.md) — Hand the current conversation off to a fresh background agent that picks up the work immediately.
-
+- [commit-staged](common/engineering/commit-staged/SKILL.md) — Commit staged files with a conventional commit message.
- [setup-skills](skills/setup-skills/SKILL.md) — Configure this repo for the engineering skills, issue tracker, triage label vocabulary, and domain doc layout.
+- [conversation-summary](common/pkm/conversation-summary/SKILL.md) — Save the current conversation as a comprehensive report note in your Obsidian vault, following OKF v0.1 conventions.
-
+- [crit](common/pkm/crit/SKILL.md) — Run the CRIT framework — give the AI Context, assign it a Role, let it Interview you one question at a time, then issue the Task.
-### Engineering
+- [implement-isolation](common/engineering/implement-isolation/SKILL.md) — Implement a piece of work based on a spec or set of tickets in isolation.
-
+- [implement-isolation-tmux](common/engineering/implement-isolation-tmux/SKILL.md) — Dispatch a child agent in an isolated git worktree to implement a piece of work based on a PRD or set of issues.
- [thermo-nuclear-code-quality-review](skills/engineering/code-quality-review/SKILL.md) — Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
+- [knowledge-gardener](common/in-progress/knowledge-gardener/SKILL.md) — Run vault-aware semantic search, synthesis, note creation, linking, and Zettelkasten workflows for this Obsidian vault.
- [commit-staged](skills/engineering/commit-staged/SKILL.md) — Commit staged files with a conventional commit message.
+- [project-context-pack](common/engineering/project-context-pack/SKILL.md) — Build a bounded repo context pack (project map, codebase index, cached memory file) so later work uses fd/rg/tree-sitter/LSP instead of repeated browsing.
- [grill-with-docs](skills/engineering/grill-with-docs/SKILL.md) — A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
+- [research-vault](common/pkm/research-vault/SKILL.md) — Research a topic through a one-question-at-a-time learning conversation, answer directly, share resources when useful, and save a linked OKF-conformant research packet in the Obsidian vault.
- [implement](skills/engineering/implement/SKILL.md) — Implement a piece of work based on a spec or set of tickets.
+- [setup-skills](common/engineering/setup-skills/SKILL.md) — Configure this repo for the engineering skills, set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
- [implement-isolation](skills/engineering/implement-isolation/SKILL.md) — Implement a piece of work based on a spec or set of tickets in isolation.
+- [tmux-launch-agent](common/misc/tmux-launch-agent/SKILL.md) — Fork a new agent CLI session into a new tmux window, detected from the current agent.
- [implement-isolation-tmux](skills/engineering/implement-isolation-tmux/SKILL.md) — Dispatch a child agent in an isolated git worktree to implement a piece of work based on a PRD or set of issues.
+- [youtube-video-capture](common/pkm/youtube-video-capture/SKILL.md) — Fetch subtitles from a YouTube video, summarize the content, and save both the summary and raw subtitles to the Video bundle in the Obsidian vault.
 - [implement-spec](skills/engineering/implement-spec/SKILL.md) — Implement the result of /to-spec and /to-tickets in code.
 - [implementation-orchestrator](skills/engineering/implementation-orchestrator/SKILL.md) — Implements ready-for-agent tracker tickets through isolated worktrees, pull requests, review, conflict resolution, and merge. Use after wayfinder and planning have produced tickets, with or without a ticket ID/URL; no ticket ID/URL means process available tickets. Does not create planning tickets.
 - [improve-codebase-architecture](skills/engineering/improve-codebase-architecture/SKILL.md) — Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
 - [orchestrate-herdr](skills/engineering/orchestrate-herdr/SKILL.md) — Drive a plan from context or @file through a published spec, linked tickets, and one-at-a-time isolated implementation to a merged PR using Herdr and Pi agents.
 - [project-context-pack](skills/engineering/project-context-pack/SKILL.md) — Use when the user wants a bounded repo context pack, project map, codebase index, or cached memory file so later work uses fd/rg/tree-sitter/LSP instead of repeated browsing.
 - [recipe-diagrams](skills/engineering/recipe-diagrams/SKILL.md) — Recipe diagrams: convert any recipe into a high-resolution Cooking for Engineers-style PNG process-flow table with aligned ingredient streams, preparation branches, joins, temperatures, timings, and finish steps. Use when the user asks for a recipe diagram.
 - [security-audit](skills/engineering/security-audit/SKILL.md) — Comprehensive security and correctness audit of a branch's changes. Use for deep review requests, or branch/PR diff audits focused on bugs, breaking changes, security issues, devex regressions, and feature-gate leaks.
 - [triage](skills/engineering/triage/SKILL.md) — Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
 - [wayfinder](skills/engineering/wayfinder/SKILL.md) — Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
 ### In Progress
 - [agent-handoff](skills/in-progress/agent-handoff/SKILL.md) — Hand the current conversation off to a fresh background agent that picks up the work immediately.
 - [knowledge-gardener](skills/in-progress/knowledge-gardener/SKILL.md) — Run vault-aware semantic search, synthesis, note creation, linking, and Zettelkasten workflows for this Obsidian vault.
 ### Misc
 - [bro](skills/misc/bro/SKILL.md) — Restate the last message in plain human language, with no jargon.
 - [show-me](skills/misc/show-me/SKILL.md) — Help the user understand the current topic visually with concise diagrams, code-shape sketches, and focused HTML artifacts.
 - [tmux-launch-agent](skills/misc/tmux-launch-agent/SKILL.md) — Fork a new agent CLI session into a new tmux window, detected from the current agent.
 - [visual-verification](skills/misc/visual-verification/SKILL.md) — Verify running desktop UI changes with screenshots and recordings. Use when changing shell styling, layout, panels, menus, notifications, animations, transitions, or capture flows; inspect the artifacts before reporting completion.
 ### Personal
 - [arch-maintenance](skills/personal/arch-maintenance/SKILL.md) — Keep an Arch or CachyOS system updated and healthy with status, check, and update workflows.
 - [arch-troubleshooting](skills/personal/arch-troubleshooting/SKILL.md) — Diagnose and repair Arch or CachyOS system problems.
 ### Pkm
 - [conversation-summary](skills/pkm/conversation-summary/SKILL.md) — Save the current conversation as a comprehensive report note in your Obsidian vault, following OKF v0.1 conventions.
 - [crit](skills/pkm/crit/SKILL.md) — Run the CRIT framework — give the AI Context, assign it a Role, let it Interview you one question at a time, then issue the Task.
 - [research-vault](skills/pkm/research-vault/SKILL.md) — Research a topic through a one-question-at-a-time learning conversation, answer directly, share resources when useful, and save a linked OKF-conformant research packet in the Obsidian vault.
 - [youtube-video-capture](skills/pkm/youtube-video-capture/SKILL.md) — Fetch subtitles from a YouTube video, summarize the content, and save both the summary and raw subtitles to the Video bundle in the Obsidian vault. Use when the user wants to capture a YouTube video, mentions "summarize this video", "capture this talk", or pastes a YouTube URL wanting it saved to vault.
 ### Productivity
 - [grill-me](skills/productivity/grill-me/SKILL.md) — A relentless interview to sharpen a plan or design.
 - [handoff](skills/productivity/handoff/SKILL.md) — Compact the current conversation into a handoff document for another agent to pick up.
 - [to-questionnaire](skills/productivity/to-questionnaire/SKILL.md) — Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
 - [wait-what](skills/productivity/wait-what/SKILL.md) — Stop. That last message did not land: re-pitch it.
 ### Pstack
 - [bugfix-regression-test](skills/pstack/bugfix-regression-test/SKILL.md) — Fix bugs test-first with a focused regression test when practical.
 - [interrogate](skills/pstack/interrogate/SKILL.md) — Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Uses available subagents for independent, evidence-backed review.
 ### Thinking And Docs
 - [before-building](skills/thinking-and-docs/before-building/SKILL.md) — Fire the moment the user proposes a build. Instantly surface the 1-3 consequential choices hidden in his idea. Can also be invoked with /before-building.
 - [decisions](skills/thinking-and-docs/decisions/SKILL.md) — Ask the agent to list all choices it made during the current work that it is not confident of. Manual-only; invoke with /decisions.
 - [level-up](skills/thinking-and-docs/level-up/SKILL.md) — Gauge the user''s technical + product knowledge through 7 adaptive questions, log verbatim answers with honest ratings, and grow a learning plan from the gaps found. Use when the user says "level up", "level-up session", "quiz me", "gauge my knowledge", or wants a new assessment round. Differentiator: this finds and maps gaps; the `teach` skill delivers lessons on them.
 - [read-all-adrs](skills/thinking-and-docs/read-all-adrs/SKILL.md) — Read every ADR markdown file in the project's docs/adr/ folder so you have full context on past decisions. Use only when the user explicitly calls it.
 - [remind](skills/thinking-and-docs/remind/SKILL.md) — Rewrite the last response simpler and shorter in plain English, prefixed with a 3-5 sentence TLDR of the conversation so far. Manual-only, invoked as /remind.
 - [short](skills/thinking-and-docs/short/SKILL.md) — Manually-invoked skill that forces the agent to compress its current answer — strip filler, simplify wording, and cut length while keeping the substance. Use when the user says "short", "shorter", "simpler", "too long", "tl;dr", or wants a more concise version of the previous response.
 - [teach](skills/thinking-and-docs/teach/SKILL.md) — Teach the user a new skill or concept, within this workspace.
 ## Model-invoked
-### Engineering
+- [lsp-code-analysis](common/engineering/lsp-code-analysis/SKILL.md) — Semantic code analysis via LSP. Navigate code (definitions, references, implementations), search symbols, preview refactorings, and get file outlines. Use for exploring unfamiliar codebases or performing safe refactoring.
-
+- [pkm-curation](common/pkm/pkm-curation/SKILL.md) — Curate an Obsidian vault — classify notes, normalize frontmatter, add links, extract atomic notes. Use when curating, batch-processing, reviewing, or doing a serendipity pick.
 - [feedback-bundle](skills/engineering/feedback-bundle/SKILL.md) — Post a Gitea feedback issue linked to the current commit and attach logs or screenshots. Use when the user reports a problem and asks to file it with evidence, open a bug ticket, or says “feedback-bundle” or “attach the log.”
 - [code-review](skills/engineering/code-review/SKILL.md) — Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
 - [codebase-design](skills/engineering/codebase-design/SKILL.md) — Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
 - [diagnosing-bugs](skills/engineering/diagnosing-bugs/SKILL.md) — Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
 - [domain-modeling](skills/engineering/domain-modeling/SKILL.md) — Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
 - [dual-review](skills/engineering/dual-review/SKILL.md) — Run two independent, read-only reviews of a branch diff in parallel — correctness/security and maintainability — then synthesize prioritized findings. Use for a second review axis alongside code-review, a combined deep plus code-quality audit, or when the user asks for dual review. Runs both axes as parallel sub-agents so they do not pollute each other's context.
 - [forge-cli](skills/engineering/forge-cli/SKILL.md) — Provides copy-paste, non-interactive tea, gh, and glab commands for issue and pull or merge request work. Use whenever a task needs tracker inspection, assignment, labels, comments, reviews, CI, or merge operations.
 - [lsp-code-analysis](skills/engineering/lsp-code-analysis/SKILL.md) — Semantic code analysis via LSP. Navigate code (definitions, references, implementations), search symbols, preview refactorings, and get file outlines. Use for exploring unfamiliar codebases or performing safe refactoring.
 - [pr](skills/engineering/pr/SKILL.md) — Use when writing a PR body.
 - [prototype](skills/engineering/prototype/SKILL.md) — Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
 - [research](skills/engineering/research/SKILL.md) — Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
 - [resolving-merge-conflicts](skills/engineering/resolving-merge-conflicts/SKILL.md) — Use when you need to resolve an in-progress git merge/rebase conflict.
 - [tdd](skills/engineering/tdd/SKILL.md) — Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
 - [to-spec](skills/engineering/to-spec/SKILL.md) — Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed. Use when the user wants a spec from the current conversation or an orchestration workflow needs to publish one from context.
 - [to-tickets](skills/engineering/to-tickets/SKILL.md) — Break a plan, spec, or the current conversation into tracer-bullet tickets with blocking edges, published to the configured tracker. Use when the user wants tickets from a plan or spec, or an orchestration workflow needs agent-grabbable tickets.
 - [wizard](skills/engineering/wizard/SKILL.md) — Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
 - [worktrees](skills/engineering/worktrees/SKILL.md) — Manage Git worktrees in a canonical `.bare` repository root. Use when creating, reusing, listing, removing, or repairing worktrees, or when setting up a repository to keep all branch checkouts under one root.
 - [write-discoverable-code](skills/engineering/write-discoverable-code/SKILL.md) — |
 ### Misc
 - [migrate-to-shoehorn](skills/misc/migrate-to-shoehorn/SKILL.md) — Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
 - [scaffold-exercises](skills/misc/scaffold-exercises/SKILL.md) — Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
 - [setup-pre-commit](skills/misc/setup-pre-commit/SKILL.md) — Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
 ### Pkm
 - [pkm-curation](skills/pkm/pkm-curation/SKILL.md) — Curate an Obsidian vault — classify notes, normalize frontmatter, add links, extract atomic notes. Use when curating, batch-processing, reviewing, or doing a serendipity pick.
 ### Productivity
 - [grilling](skills/productivity/grilling/SKILL.md) — Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
 - [writing-for-agents](skills/productivity/writing-for-agents/SKILL.md) — Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
 ### Pstack
 - [fix-merge-conflicts](skills/pstack/fix-merge-conflicts/SKILL.md) — Resolve merge conflicts non-interactively, validate build and tests, and finalize conflict resolution
 - [how](skills/pstack/how/SKILL.md) — Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique architecture. Use why for motivation.
 - [reflect](skills/pstack/reflect/SKILL.md) — Review a conversation for durable learnings and propose targeted edits to existing agent skills. Use when the user says "reflect", or when a complex workflow, correction, or recoverable dead end produced a reusable lesson.
 - [unslop](skills/pstack/unslop/SKILL.md) — Cut AI writing patterns while preserving meaning and voice. Use when drafting, editing, or polishing prose, messages, or documentation.
 - [why](skills/pstack/why/SKILL.md) — Investigate why code exists or behaves this way using cited historical evidence. Use for design rationale, tradeoffs, regressions, postmortems, and data-backed thresholds. Distinguishes motivation from how the code currently works.
 ### Skill Authoring
 - [effective-agent-skills](skills/skill-authoring/effective-agent-skills/SKILL.md) — How to write effective agent skills — what to do, what not to do, anatomy, progressive disclosure, design patterns, anti-patterns, testing, security. Read this whenever a skill (Claude Skill, Agent Skill, SKILL.md) is being created, edited, reviewed, or debugged. Use when the user says "create a skill", "new skill", "update this skill", "improve a skill", "why isn't my skill triggering", or anything else involving authoring or editing SKILL.md files.
 ### Thinking And Docs
 - [brain-to-docs](skills/thinking-and-docs/brain-to-docs/SKILL.md) — Use when the user wants to extract project vision, decisions, and preferences from his head into clear documentation (README + ADRs) through a back-and-forth Q&A loop. Triggers on "brain-to-docs", "build out the docs", "extract the vision", "let's document this project".
 - [next-decision](skills/thinking-and-docs/next-decision/SKILL.md) — Drill open decisions one at a time — present the most important decision not yet clarified, give the top four choices, state a preference, ask the user. Use when the user says "next decision", "one decision at a time", or a plan has several unresolved choices. Differentiator: forward-looking; the decisions skill is retrospective (choices already made). Can be invoked with /next-decision.
 - [prompt-me](skills/thinking-and-docs/prompt-me/SKILL.md) — Prompt the user with pointed questions to extract what is in his head about a project — remaining work, what is being avoided, what really matters, what does not. Use when the user says "prompt me", "ask me questions", or wants the agent to figure out priorities by questioning him.
 - [save-idea](skills/thinking-and-docs/save-idea/SKILL.md) — Quickly capture a content idea into ~/code/content from any repo or chat. Video ideas go to VIDEO-IDEAS.md; smaller podcast topics, guest ideas, questions, and AI observations go to TOPICS.md. Every entry gets a source line referencing the chat and repo it came from. Use when the user says "/save-idea", "save this idea", "video idea", "add a topic", "write this down for a video/podcast". Differentiator: appends to the user''s content backlog — not a reminder, task, or general note tool.
@@ -0,0 +1,23 @@
 # Common Skills
 Skills that work in all CLI agents.
 ## User-invoked
 - [agent-handoff](in-progress/agent-handoff/SKILL.md) — Hand the current conversation off to a fresh background agent that picks up the work immediately.
 - [commit-staged](engineering/commit-staged/SKILL.md) — Commit staged files with a conventional commit message.
 - [conversation-summary](pkm/conversation-summary/SKILL.md) — Save the current conversation as a comprehensive report note in your Obsidian vault, following OKF v0.1 conventions.
 - [crit](pkm/crit/SKILL.md) — Run the CRIT framework — give the AI Context, assign it a Role, let it Interview you one question at a time, then issue the Task.
 - [implement-isolation](engineering/implement-isolation/SKILL.md) — Implement a piece of work based on a spec or set of tickets in isolation.
 - [implement-isolation-tmux](engineering/implement-isolation-tmux/SKILL.md) — Dispatch a child agent in an isolated git worktree to implement a piece of work based on a PRD or set of issues.
 - [knowledge-gardener](in-progress/knowledge-gardener/SKILL.md) — Run vault-aware semantic search, synthesis, note creation, linking, and Zettelkasten workflows for this Obsidian vault.
 - [project-context-pack](engineering/project-context-pack/SKILL.md) — Build a bounded repo context pack (project map, codebase index, cached memory file) so later work uses fd/rg/tree-sitter/LSP instead of repeated browsing.
 - [research-vault](pkm/research-vault/SKILL.md) — Research a topic through a one-question-at-a-time learning conversation, answer directly, share resources when useful, and save a linked OKF-conformant research packet in the Obsidian vault.
 - [setup-skills](engineering/setup-skills/SKILL.md) — Configure this repo for the engineering skills, set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
 - [tmux-launch-agent](misc/tmux-launch-agent/SKILL.md) — Fork a new agent CLI session into a new tmux window, detected from the current agent.
 - [youtube-video-capture](pkm/youtube-video-capture/SKILL.md) — Fetch subtitles from a YouTube video, summarize the content, and save both the summary and raw subtitles to the Video bundle in the Obsidian vault.
 ## Model-invoked
 - [lsp-code-analysis](engineering/lsp-code-analysis/SKILL.md) — Semantic code analysis via LSP. Navigate code (definitions, references, implementations), search symbols, preview refactorings, and get file outlines. Use for exploring unfamiliar codebases or performing safe refactoring.
 - [pkm-curation](pkm/pkm-curation/SKILL.md) — Curate an Obsidian vault — classify notes, normalize frontmatter, add links, extract atomic notes. Use when curating, batch-processing, reviewing, or doing a serendipity pick.
@@ -0,0 +1,15 @@
 # Engineering Skills
 Daily code work.
 ## User-invoked
 - [commit-staged](commit-staged/SKILL.md) — Commit staged files with a conventional commit message.
 - [implement-isolation](implement-isolation/SKILL.md) — Implement a piece of work based on a spec or set of tickets in isolation.
 - [implement-isolation-tmux](implement-isolation-tmux/SKILL.md) — Dispatch a child agent in an isolated git worktree to implement a piece of work based on a PRD or set of issues.
 - [project-context-pack](project-context-pack/SKILL.md) — Build a bounded repo context pack (project map, codebase index, cached memory file) so later work uses fd/rg/tree-sitter/LSP instead of repeated browsing.
 - [setup-skills](setup-skills/SKILL.md) — Configure this repo for the engineering skills, set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
 ## Model-invoked
 - [lsp-code-analysis](lsp-code-analysis/SKILL.md) — Semantic code analysis via LSP. Navigate code (definitions, references, implementations), search symbols, preview refactorings, and get file outlines. Use for exploring unfamiliar codebases or performing safe refactoring.
@@ -6,6 +6,8 @@ disable-model-invocation: true
 # Setup Engineering Skills
 When the provider-neutral `tracker` package is installed, generated issue-tracker guidance should call it for normal operations and retain provider-specific CLI commands only as adapter/fallback reference. See `docs/agents/tracker.md`.
 Scaffold the per-repo configuration that the engineering skills assume:
 - Issue tracker: where issues live (never assume a default forge)
@@ -8,11 +8,11 @@ Architecture Decision Records live on the forge wiki and are cloned into `docs/a
 <wiki-url>
 ```
-Derived from the forge remote during `setup-skills`.
+Derived from the forge remote during `/setup-skills`.
 ## Bootstrap
-On first setup, `setup-skills` clones the wiki:
+On first setup, `/setup-skills` clones the wiki:
 ```bash
 git clone <wiki-url> docs/adr/
@@ -43,7 +43,7 @@ Multi-context repo (presence of `CONTEXT-MAP.md` at the root):
 ## ADR lifecycle
-ADRs live on the forge wiki and are cloned into `docs/adr/` during setup (`setup-skills`). The source repo ignores `docs/adr/` via `.gitignore`.
+ADRs live on the forge wiki and are cloned into `docs/adr/` during setup (`/setup-matt-pocock-skills`). The source repo ignores `docs/adr/` via `.gitignore`.
 - **Reading** — skills read ADRs by relative path (`docs/adr/...`) as before. The wiki clone is transparent.
 - **Creating / updating** — skills write ADRs to `docs/adr/` as files. Changes accumulate in the wiki clone's local git state.
@@ -1,6 +1,6 @@
 # Issue tracker: Gitea
-Issues and PRDs for this repo live as Gitea issues. Use the `tea` CLI for all operations.
+Prefer the provider-neutral `tracker` command for normal operations; it emits JSON and delegates to `tea`. See `docs/agents/tracker.md`. The `tea` commands below remain adapter and capability reference material.
 ## Conventions
@@ -13,15 +13,6 @@ Issues and PRDs for this repo live as Gitea issues. Use the `tea` CLI for all op
 Infer the repo from git remote -v — `tea` does this automatically when run inside a clone.
 ### Forge write safety
   - `tea --description` does not read stdin via `@-`; never use `--description @-`.
   - Pass multiline descriptions with shell command substitution:
     `tea issue create --description "$(cat <<'EOF' ... EOF)"`
   - After every issue create/edit, verify:
     `tea issue <n> -o json | jq -e '.body != "" and .body != "@-" and (.body | contains("## Question"))'`
   - Inspect `tea --help` before relying on CLI syntax.
 ## Pull requests as a triage surface
 **PRs as a request surface: no.** _(Set to `yes` if this repo treats external PRs as feature requests; `/triage` reads this flag.)_
@@ -1,6 +1,6 @@
 # Issue tracker: GitHub
-Issues and PRDs for this repo live as GitHub issues. Use the `gh` CLI for all operations.
+Prefer the provider-neutral `tracker` command for normal operations; it emits JSON and delegates to `gh`. See `docs/agents/tracker.md`. The `gh` commands below remain adapter and capability reference material.
 ## Conventions
@@ -1,6 +1,6 @@
 # Issue tracker: GitLab
-Issues and PRDs for this repo live as GitLab issues. Use the [`glab`](https://gitlab.com/gitlab-org/cli) CLI for all operations.
+Prefer the provider-neutral `tracker` command for normal operations; it emits JSON and delegates to `glab`. See `docs/agents/tracker.md`. The `glab` commands below remain adapter and capability reference material.
 ## Conventions
@@ -1,4 +1,4 @@
-# In Progress Skills
+# In-Progress Skills
 Drafts not yet ready to ship.
@@ -6,7 +6,3 @@ Drafts not yet ready to ship.
 - [agent-handoff](agent-handoff/SKILL.md) — Hand the current conversation off to a fresh background agent that picks up the work immediately.
 - [knowledge-gardener](knowledge-gardener/SKILL.md) — Run vault-aware semantic search, synthesis, note creation, linking, and Zettelkasten workflows for this Obsidian vault.
 ## Model-invoked
 No skills.
@@ -0,0 +1,7 @@
 # Misc Skills
 Kept around but rarely used.
 ## User-invoked
 - [tmux-launch-agent](tmux-launch-agent/SKILL.md) — Fork a new agent CLI session into a new tmux window, detected from the current agent.
@@ -0,0 +1,5 @@
 # Personal Skills
 Tied to my own setup, not promoted.
 _No skills currently live in this bucket._
@@ -1,4 +1,4 @@
-# Pkm Skills
+# PKM Skills
 Personal knowledge management.
@@ -7,7 +7,7 @@ Personal knowledge management.
 - [conversation-summary](conversation-summary/SKILL.md) — Save the current conversation as a comprehensive report note in your Obsidian vault, following OKF v0.1 conventions.
 - [crit](crit/SKILL.md) — Run the CRIT framework — give the AI Context, assign it a Role, let it Interview you one question at a time, then issue the Task.
 - [research-vault](research-vault/SKILL.md) — Research a topic through a one-question-at-a-time learning conversation, answer directly, share resources when useful, and save a linked OKF-conformant research packet in the Obsidian vault.
- [youtube-video-capture](youtube-video-capture/SKILL.md) — Fetch subtitles from a YouTube video, summarize the content, and save both the summary and raw subtitles to the Video bundle in the Obsidian vault. Use when the user wants to capture a YouTube video, mentions "summarize this video", "capture this talk", or pastes a YouTube URL wanting it saved to vault.
+- [youtube-video-capture](youtube-video-capture/SKILL.md) — Fetch subtitles from a YouTube video, summarize the content, and save both the summary and raw subtitles to the Video bundle in the Obsidian vault.
 ## Model-invoked
@@ -0,0 +1,5 @@
 # Productivity Skills
 Daily non-code workflow tools.
 _No skills currently live in this bucket._
@@ -1,6 +1,6 @@
-# Issue tracker: Gitea
+# Issue tracker: provider-neutral tracker over Gitea
-Issues and PRDs for this repo live as Gitea issues. Use the `tea` CLI for all operations.
+Use `tracker` (see `docs/agents/tracker.md`) for normal issue and pull-request automation. It delegates to `tea` and emits one JSON envelope. The Gitea command details below remain capability and fallback reference material; do not issue exploratory raw commands when a tracker operation exists.
 ## Conventions
@@ -0,0 +1,15 @@
 # Provider-neutral tracker automation
 Use `tracker` for normal issue and pull-request automation. It owns the high-level operation, prerequisite checks, normalization, bounded retry policy, and JSON protocol; it delegates credentials and provider commands to `gh`, `glab`, or `tea`.
 ```sh
 tracker --provider gitea issue get 16
 TRACKER_PROVIDER=gitlab tracker issue list --state open --label ready-for-agent
 tracker pr get 42 --diff
 ```
 Provider selection is explicit CLI flag, then `TRACKER_PROVIDER`, then the `origin` remote. Always choose `issue` or `pr` explicitly for reads and writes. Use `resolve-reference` only for an intentionally ambiguous bare number.
 Parse `ok` and `error.code`; do not parse provider output or issue exploratory retries. The library (`from tracker import Tracker`) returns the same envelope as the CLI. `RecordingRunner` provides the fake subprocess seam for tests.
 Provider-specific capability and fallback references remain in `docs/agents/issue-tracker.md` and the setup templates. They are not the normal execution path. Wayfinding relationships may use native provider APIs where available and task-list/body or note fallbacks otherwise; the result's `details` identifies the relationship mode.
@@ -1,2 +0,0 @@
@@ -1,146 +0,0 @@
 # Pi implementation orchestrator skill
 `implementation-orchestrator` implements already-planned tracker tickets from issue selection through isolated implementation worktrees, pull/merge requests, review, merge, and cleanup.
 It supports:
 - Tea-compatible Gitea/Forgejo repositories through `tea`
 - GitHub repositories through `gh`
 - GitLab repositories through `glab`
 The forge is selected from `origin`, or explicitly with `DEV_WORKFLOW_FORGE`.
 ## Install
 From this checkout, install globally for your user:
 ```bash
 pi install /absolute/path/to/ws-developement-workflow
 ```
 Or install it only for the current project:
 ```bash
 pi install -l /absolute/path/to/ws-developement-workflow
 ```
 Restart Pi after installation, or run `/reload` in an existing session. Review the package before installing it: skills can instruct Pi to run commands with your account's permissions.
 ## When to use it
 Use this after the human-led wayfinder, planning, specification, and ticket phases have produced implementation tickets.
 The skill does **not** create planning tickets. It only implements tickets that are already labelled:
 ```text
 workflow:ready-for-agent
 ```
 Invoke it with an optional ticket ID or URL:
 ```text
 # Process only ticket 43
 /skill:implementation-orchestrator 43
 # Process all available tickets in the current repository
 /skill:implementation-orchestrator
 ```
 The ID must be a tracker issue/ticket, not a branch name, PR/MR ID, or session ID. With an ID, only that ticket is processed. With no ID, the skill considers all open tickets in the current repository.
 ## Prerequisites
 Before invoking the skill:
 1. Run it from a checkout of the target repository.
 2. Ensure `origin` points to the correct forge repository.
 3. Install and authenticate the matching CLI:
   - Tea/Gitea/Forgejo: `tea`
   - GitHub: `gh`
   - GitLab: `glab`
 4. Create implementation tickets, optionally grouped under a root issue.
 5. Mark implementable tickets `workflow:ready-for-agent`.
 6. Add native child/dependency relationships where supported. Otherwise put explicit issue URLs or the documented blocker marker in the ticket.
 7. Configure `DEV_WORKFLOW_HUMAN_REVIEWER` if the agent may assign human review automatically.
 Run the read-only preflight manually from the target repository if needed:
 ```bash
 bash /path/to/this-package/skills/forge-cli/scripts/detect-forge.sh
 ```
 Expected output resembles:
 ```text
 forge=gh
 remote=https://github.com/acme/project.git
 ```
 ## What happens
 For the supplied ticket, or all tickets when no ticket is supplied, the skill:
 1. Verifies the repository, forge CLI, authentication, default branch, and capabilities.
 2. Reads only the supplied ticket; otherwise reads all open tickets in the repository.
 3. Selects only open, unassigned, unblocked `workflow:ready-for-agent` tickets.
 4. For a supplied ticket, runs only that ticket; with no ticket, runs currently unblocked tickets in parallel, up to three isolated workers. Dependent tickets wait for their blockers.
 5. Claims each selected ticket and changes it to `workflow:implementing`, then gives it to one worker in an isolated Git worktree.
 6. Runs local checks, pushes the branch, and creates exactly one PR/MR per ticket.
 7. Records URLs, status, evidence, blockers, and handoffs in tracker comments.
 8. Reviews each PR/MR for correctness/spec and standards, allowing at most three fix rounds.
 9. Resolves conflicts through the conflict workflow instead of aborting or guessing.
 10. Merges only when review, local checks, CI, target branch, and blocker gates are clean.
 11. Closes the integrated ticket, records the merge receipt, and removes the worktree.
 12. Re-queries the scoped ticket set after every merge so newly unblocked tickets can run.
 Default worker parallelism is three, subject to the available subagent limit.
 ## Ticket labels
 The skill uses one active workflow label per ticket:
 ```text
 workflow:ready-for-agent
 workflow:ready-for-human
 workflow:implementing
 workflow:pr-open
 workflow:review
 workflow:changes-requested
 workflow:conflict
 workflow:blocked
 workflow:merged
 ```
 Existing `workflow:ready-for-human` tickets are left untouched and reported as human handoffs. Missing requirements, unsafe ambiguity, credentials, product decisions, unavailable CI, and missing permissions stop the workflow instead of being guessed around.
 ## Forge CLI recipes
 After preflight, the shared `forge-cli` skill contains the common rules and automatically selects one recipe:
 - `skills/forge-cli/references/tea.md`
 - `skills/forge-cli/references/gh.md`
 - `skills/forge-cli/references/glab.md`
 Other skills can use it too: install this package globally, then instruct them to load the shared `forge-cli` skill instead of duplicating CLI syntax.
 ## Completion states
 The final report includes:
 - merged tickets and PR/MR URLs;
 - remaining eligible tickets;
 - tickets waiting for human review;
 - blocked tickets and exact reasons;
 - failed checks and review rounds.
 `done` means no open implementation or human tickets remain in the selected scope. If only human tickets remain, the result is `waiting-on-human`.
 ## Development checks
 Validate the package with:
 ```bash
 bash tests/test-workflow.sh
 ```
 This checks skill metadata, references, shell syntax, forge detection, and eligibility filtering.
@@ -0,0 +1,24 @@
 [build-system]
 requires = ["setuptools>=61"]
 build-backend = "setuptools.build_meta"
 [project]
 name = "tracker-automation"
 version = "0.1.0"
 description = "Provider-neutral tracker automation CLI and library"
 requires-python = ">=3.10"
 [project.scripts]
 tracker = "tracker.cli:main"
 tracker-automation = "tracker.cli:main"
 [tool.setuptools.packages.find]
 include = ["tracker*", "tracker_automation*"]
 [tool.pyright]
 include = ["tracker", "tests"]
 extraPaths = ["."]
 [tool.ruff]
 target-version = "py310"
 line-length = 100
@@ -1,42 +0,0 @@
 # Engineering Skills
 Daily code work.
 ## User-invoked
 - [thermo-nuclear-code-quality-review](code-quality-review/SKILL.md) — Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
 - [commit-staged](commit-staged/SKILL.md) — Commit staged files with a conventional commit message.
 - [grill-with-docs](grill-with-docs/SKILL.md) — A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
 - [implement](implement/SKILL.md) — Implement a piece of work based on a spec or set of tickets.
 - [implement-isolation](implement-isolation/SKILL.md) — Implement a piece of work based on a spec or set of tickets in isolation.
 - [implement-isolation-tmux](implement-isolation-tmux/SKILL.md) — Dispatch a child agent in an isolated git worktree to implement a piece of work based on a PRD or set of issues.
 - [implement-spec](implement-spec/SKILL.md) — Implement the result of /to-spec and /to-tickets in code.
 - [implementation-orchestrator](implementation-orchestrator/SKILL.md) — Implements ready-for-agent tracker tickets through isolated worktrees, pull requests, review, conflict resolution, and merge. Use after wayfinder and planning have produced tickets, with or without a ticket ID/URL; no ticket ID/URL means process available tickets. Does not create planning tickets.
 - [improve-codebase-architecture](improve-codebase-architecture/SKILL.md) — Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
 - [orchestrate-herdr](orchestrate-herdr/SKILL.md) — Implement a published spec ticket using Herdr and Pi agents on a named worker node.
 - [project-context-pack](project-context-pack/SKILL.md) — Use when the user wants a bounded repo context pack, project map, codebase index, or cached memory file so later work uses fd/rg/tree-sitter/LSP instead of repeated browsing.
 - [recipe-diagrams](recipe-diagrams/SKILL.md) — Recipe diagrams: convert any recipe into a high-resolution Cooking for Engineers-style PNG process-flow table with aligned ingredient streams, preparation branches, joins, temperatures, timings, and finish steps. Use when the user asks for a recipe diagram.
 - [security-audit](security-audit/SKILL.md) — Comprehensive security and correctness audit of a branch's changes. Use for deep review requests, or branch/PR diff audits focused on bugs, breaking changes, security issues, devex regressions, and feature-gate leaks.
 - [triage](triage/SKILL.md) — Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
 - [wayfinder](wayfinder/SKILL.md) — Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
 ## Model-invoked
 - [feedback-bundle](feedback-bundle/SKILL.md) — Post a Gitea feedback issue linked to the current commit and attach logs or screenshots. Use when the user reports a problem and asks to file it with evidence, open a bug ticket, or says “feedback-bundle” or “attach the log.”
 - [code-review](code-review/SKILL.md) — Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
 - [codebase-design](codebase-design/SKILL.md) — Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
 - [diagnosing-bugs](diagnosing-bugs/SKILL.md) — Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
 - [domain-modeling](domain-modeling/SKILL.md) — Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
 - [dual-review](dual-review/SKILL.md) — Run two independent, read-only reviews of a branch diff in parallel — correctness/security and maintainability — then synthesize prioritized findings. Use for a second review axis alongside code-review, a combined deep plus code-quality audit, or when the user asks for dual review. Runs both axes as parallel sub-agents so they do not pollute each other's context.
 - [forge-cli](forge-cli/SKILL.md) — Provides copy-paste, non-interactive tea, gh, and glab commands for issue and pull or merge request work. Use whenever a task needs tracker inspection, assignment, labels, comments, reviews, CI, or merge operations.
 - [lsp-code-analysis](lsp-code-analysis/SKILL.md) — Semantic code analysis via LSP. Navigate code (definitions, references, implementations), search symbols, preview refactorings, and get file outlines. Use for exploring unfamiliar codebases or performing safe refactoring.
 - [pr](pr/SKILL.md) — Use when writing a PR body.
 - [prototype](prototype/SKILL.md) — Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
 - [research](research/SKILL.md) — Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
 - [resolving-merge-conflicts](resolving-merge-conflicts/SKILL.md) — Use when you need to resolve an in-progress git merge/rebase conflict.
 - [tdd](tdd/SKILL.md) — Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
 - [to-spec](to-spec/SKILL.md) — Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed. Use when the user wants a spec from the current conversation or an orchestration workflow needs to publish one from context.
 - [to-tickets](to-tickets/SKILL.md) — Break a plan, spec, or the current conversation into tracer-bullet tickets with blocking edges, published to the configured tracker. Use when the user wants tickets from a plan or spec, or an orchestration workflow needs agent-grabbable tickets.
 - [wizard](wizard/SKILL.md) — Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
 - [worktrees](worktrees/SKILL.md) — Manage Git worktrees in a canonical `.bare` repository root. Use when creating, reusing, listing, removing, or repairing worktrees, or when setting up a repository to keep all branch checkouts under one root.
 - [write-discoverable-code](write-discoverable-code/SKILL.md) — |
@@ -1,192 +0,0 @@
 ---
 name: thermo-nuclear-code-quality-review
 description: Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
 disable-model-invocation: true
 ---
 # Thermo-Nuclear Code Quality Review
 Use this skill for an unusually strict review focused on implementation quality, maintainability, abstraction quality, and codebase health.
 Above all, this skill should push the reviewer to be **ambitious** about code structure. Do not merely identify local cleanup opportunities. Actively search for "code judo" moves: restructurings that preserve behavior while making the implementation dramatically simpler, smaller, more direct, and more elegant.
 ## Core Prompt
 Start from this baseline:
 > Perform a deep code quality audit of the current branch's changes.
 > Rethink how to structure / implement the changes to meaningfully improve code quality without impacting behavior.
 > Work to improve abstractions, modularity, reduce Spaghetti code, improve succinctness and legibility.
 > Be ambitious, if there is a clear path to improving the implementation that involves restructuring some of the codebase, go for it.
 > Be extremely thorough and rigorous. Measure twice, cut once.
 ## Non-Negotiable Additional Standards
 Apply the baseline prompt above, plus these explicit review rules:
 0. **Be ambitious about structural simplification.**
   - Do not stop at "this could be a bit cleaner."
   - Look for opportunities to reframe the change so that whole branches, helpers, modes, conditionals, or layers disappear entirely.
   - Prefer the solution that makes the code feel inevitable in hindsight.
   - Assume there is often a "code judo" move available: a re-organization that uses the existing architecture more effectively and makes the change dramatically simpler and more elegant.
   - If you see a path to delete complexity rather than rearrange it, push hard for that path.
 1. **Do not let a PR push a file from under 1k lines to over 1k lines without a very strong reason.**
   - Treat this as a strong code-quality smell by default.
   - Prefer extracting helpers, subcomponents, modules, or local abstractions instead of letting a file sprawl past 1000 lines.
   - If the diff crosses that threshold, explicitly ask whether the code should be decomposed first.
   - Only waive this if there is a compelling structural reason and the resulting file is still clearly organized.
 2. **Do not allow random spaghetti growth in existing code.**
   - Be highly suspicious of new ad-hoc conditionals, scattered special cases, or one-off branches inserted into unrelated flows.
   - If a change adds "weird if statements in random places", treat that as a design problem, not a stylistic nit.
   - Prefer pushing the logic into a dedicated abstraction, helper, state machine, policy object, or separate module instead of tangling an existing path.
   - Call out changes that make the surrounding code harder to reason about, even if they technically work.
 3. **Bias toward cleaning the design, not just accepting working code.**
   - If behavior can stay the same while the structure becomes meaningfully cleaner, push for the cleaner version.
   - Do not rubber-stamp "it works" implementations that leave the codebase messier.
   - Strongly prefer simplifications that remove moving pieces altogether over refactors that merely spread the same complexity around.
 4. **Prefer direct, boring, maintainable code over hacky or magical code.**
   - Treat brittle, ad-hoc, or "magic" behavior as a code-quality problem.
   - Be skeptical of generic mechanisms that hide simple data-shape assumptions.
   - Flag thin abstractions, identity wrappers, or pass-through helpers that add indirection without buying clarity.
 5. **Push hard on type and boundary cleanliness when they affect maintainability.**
   - Question unnecessary optionality, `unknown`, `any`, or cast-heavy code when a clearer type boundary could exist.
   - Prefer explicit typed models or shared contracts over loosely-shaped ad-hoc objects.
   - If a branch relies on silent fallback to paper over an unclear invariant, ask whether the boundary should be made explicit instead.
 6. **Keep logic in the canonical layer and reuse existing helpers.**
   - Call out feature logic leaking into shared paths or implementation details leaking through APIs.
   - Prefer existing canonical utilities/helpers over bespoke one-offs.
   - Push code toward the right package, service, or module instead of normalizing architectural drift.
 7. **Treat unnecessary sequential orchestration and non-atomic updates as design smells when the cleaner structure is obvious.**
   - If independent work is serialized for no good reason, ask whether the flow should run in parallel instead.
   - If related updates can leave state half-applied, push for a more atomic structure.
   - Do not over-index on micro-optimizations, but do flag avoidable orchestration complexity that makes the implementation more brittle.
 ## Primary Review Questions
 For every meaningful change, ask:
 - Is there a "code judo" move that would make this dramatically simpler?
 - Can this change be reframed so fewer concepts, branches, or helper layers are needed?
 - Does this improve or worsen the local architecture?
 - Did the diff add branching complexity where a better abstraction should exist?
 - Did a previously cohesive module become more coupled, more stateful, or harder to scan?
 - Is this logic living in the right file and layer?
 - Did this change enlarge a file or component past a healthy size boundary?
 - Are there repeated conditionals that signal a missing model or missing helper?
 - Is the implementation direct and legible, or does it rely on special cases and incidental control flow?
 - Is this abstraction actually earning its keep, or is it just a wrapper?
 - Did the diff introduce casts, optionality, or ad-hoc object shapes that obscure the real invariant?
 - Is this logic living in the canonical layer, or did the diff leak details across a boundary?
 - Is this orchestration more sequential or less atomic than it needs to be?
 ## What to Flag Aggressively
 Escalate findings when you see:
 - A complicated implementation where a cleaner reframing could delete whole categories of complexity.
 - Refactors that move code around but fail to reduce the number of concepts a reader must hold in their head.
 - A file crossing 1000 lines due to the PR, especially if the new code could be split out.
 - New conditionals bolted onto unrelated code paths.
 - One-off booleans, nullable modes, or flags that complicate existing control flow.
 - Feature-specific logic leaking into general-purpose modules.
 - Generic "magic" handling that hides simple structure and makes the code harder to reason about.
 - Thin wrappers or identity abstractions that add indirection without simplifying anything.
 - Unnecessary casts, `any`, `unknown`, or optional params that muddy the real contract.
 - Copy-pasted logic instead of extracted helpers.
 - Narrow edge-case handling implemented in the middle of an already busy function.
 - Refactors that technically pass tests but make the code less modular or less readable.
 - "Temporary" branching that is likely to become permanent debt.
 - Bespoke helpers where the codebase already has a canonical utility for the job.
 - Logic added in the wrong layer/package when it should live somewhere more central.
 - Sequential async flow where obviously independent work could stay simpler and clearer with parallel execution.
 - Partial-update logic that leaves state less atomic than necessary.
 ## Preferred Remedies
 When you identify a code-quality problem, prefer suggestions like:
 - Delete a whole layer of indirection rather than polishing it.
 - Reframe the state model so conditionals disappear instead of getting centralized.
 - Change the ownership boundary so the feature becomes a natural extension of an existing abstraction.
 - Turn special-case logic into a simpler default flow with fewer exceptions.
 - Extract a helper or pure function.
 - Split a large file into smaller focused modules.
 - Move feature-specific logic behind a dedicated abstraction.
 - Replace condition chains with a typed model or explicit dispatcher.
 - Separate orchestration from business logic.
 - Collapse duplicate branches into a single clearer flow.
 - Delete wrappers that do not meaningfully clarify the API.
 - Reuse the existing canonical helper instead of introducing a near-duplicate.
 - Make type boundaries more explicit so the control flow gets simpler.
 - Move the logic to the package/module/layer that already owns the concept.
 - Parallelize independent work when that also simplifies the orchestration.
 - Restructure related updates into a more atomic flow when partial state would be harder to reason about.
 Do not be satisfied with "maybe rename this" feedback when the real issue is structural.
 Do not be satisfied with a merely cleaner version of the same messy idea if there is a plausible path to a much simpler idea.
 ## Review Tone
 Be direct, serious, and demanding about quality.
 Do not be rude, but do not soften major maintainability issues into mild suggestions.
 If the code is making the codebase messier, say so clearly.
 If the implementation missed an opportunity for a dramatic simplification, say that clearly too.
 Good phrases:
 - `this pushes the file past 1k lines. can we decompose this first?`
 - `this adds another special-case branch into an already busy flow. can we move this behind its own abstraction?`
 - `this works, but it makes the surrounding code more spaghetti. let's keep the behavior and restructure the implementation.`
 - `this feels like feature logic leaking into a shared path. can we isolate it?`
 - `this abstraction seems unnecessary. can we just keep the direct flow?`
 - `why does this need a cast / optional here? can we make the boundary more explicit instead?`
 - `this looks like a bespoke helper for something we already have elsewhere. can we reuse the canonical one?`
 - `i think there's a code-judo move here that makes this much simpler. can we reframe this so these branches disappear?`
 - `this refactor moves complexity around, but doesn't really delete it. is there a way to make the model itself simpler?`
 ## Output Expectations
 Prioritize findings in this order:
 1. Structural code-quality regressions
 2. Missed opportunities for dramatic simplification / code-judo restructuring
 3. Spaghetti / branching complexity increases
 4. Boundary / abstraction / type-contract problems that make the code harder to reason about
 5. File-size and decomposition concerns
 6. Modularity and abstraction issues
 7. Legibility and maintainability concerns
 Do not flood the review with low-value nits if there are larger structural issues.
 Prefer a smaller number of high-conviction comments over a long list of cosmetic notes.
 ## Approval Bar
 Do not approve merely because behavior seems correct.
 The bar for approval is:
 - no clear structural regression
 - no obvious missed opportunity to make the implementation dramatically simpler when such a path is visible
 - no unjustified file-size explosion
 - no obvious spaghetti-growth from special-case branching
 - no obviously hacky or magical abstraction that makes the code harder to reason about
 - no unnecessary wrapper/cast/optionality churn obscuring the real design
 - no clear architecture-boundary leak or avoidable canonical-helper duplication
 - no missed opportunity for an obvious decomposition that would materially improve maintainability
 Treat these as presumptive blockers unless the author can justify them clearly:
 - the PR preserves a lot of incidental complexity when there is a plausible code-judo move that would delete it
 - the PR pushes a file from below 1000 lines to above 1000 lines
 - the PR adds ad-hoc branching that makes an existing flow more tangled
 - the PR solves a local problem by scattering feature checks across shared code
 - the PR adds an unnecessary abstraction, wrapper, or cast-heavy contract that makes the design more indirect
 - the PR duplicates an existing helper or puts logic in the wrong layer when there is a clear canonical home
 If those conditions are not met, leave explicit, actionable feedback and push for a cleaner decomposition.
@@ -1,5 +0,0 @@
 interface:
  display_name: "Thermo-Nuclear Code Quality Review"
  short_description: "Strict review of abstractions, large files, and condition complexity"
 policy:
  allow_implicit_invocation: false
@@ -1,87 +0,0 @@
 ---
 name: code-review
 description: "Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to \"review since X\"."
 ---
 Two-axis review of the diff between `HEAD` and a fixed point the user supplies:
 - **Standards**: does the code conform to this repo's documented coding standards?
 - **Spec**: does the code faithfully implement the originating issue / spec?
 Both axes run as **parallel sub-agents** so they don't pollute each other's context, then this skill aggregates their findings.
 The issue tracker should have been provided to you. If `docs/agents/issue-tracker.md` is missing, tell the user to run `setup-skills`.
 ## Process
 ### 1. Pin the fixed point
 Whatever the user said is the fixed point (a commit SHA, branch name, tag, `main`, `HEAD~5`, etc.). If they didn't specify one, ask for it.
 Capture the diff command once: `git diff <fixed-point>...HEAD` (three-dot, so the comparison is against the merge-base). Also note the list of commits via `git log <fixed-point>..HEAD --oneline`.
 Before going further, confirm the fixed point resolves (`git rev-parse <fixed-point>`) and the diff is non-empty. A bad ref or empty diff should fail here, not inside two parallel sub-agents.
 ### 2. Identify the spec source
 Look for the originating spec, in this order:
 1. Issue references in the commit messages (`#123`, `Closes #45`, GitLab `!67`, etc.), fetched via the workflow in `docs/agents/issue-tracker.md`.
 2. A path the user passed as an argument.
 3. A spec file under `docs/`, `specs/`, or `.scratch/` matching the branch name or feature.
 4. If nothing is found, ask the user where the spec is. If they say there isn't one, the **Spec** sub-agent will skip and report "no spec available".
 ### 3. Identify the standards sources
 Anything in the repo that documents how code should be written, such as `CODING_STANDARDS.md` or `CONTRIBUTING.md`.
 On top of whatever the repo documents, the Standards axis always carries the **smell baseline** below: a fixed set of Fowler code smells (_Refactoring_, ch.3) that applies even when a repo documents nothing. Two rules bind it:
 - **The repo overrides.** A documented repo standard always wins; where it endorses something the baseline would flag, suppress the smell.
 - **Always a judgement call.** Each smell is a labelled heuristic ("possible Feature Envy"), never a hard violation. Like any standard here, skip anything tooling already enforces.
 Each smell reads *what it is* → *how to fix*; match it against the diff:
 - **Mysterious Name**: a function, variable, or type whose name doesn't reveal what it does or holds. → rename it; if no honest name comes, the design's murky.
 - **Duplicated Code**: the same logic shape appears in more than one hunk or file in the change. → extract the shared shape, call it from both.
 - **Feature Envy**: a method that reaches into another object's data more than its own. → move the method onto the data it envies.
 - **Data Clumps**: the same few fields or params keep travelling together (a type wanting to be born). → bundle them into one type, pass that.
 - **Primitive Obsession**: a primitive or string standing in for a domain concept that deserves its own type. → give the concept its own small type.
 - **Repeated Switches**: the same `switch`/`if`-cascade on the same type recurs across the change. → replace with polymorphism, or one map both sites share.
 - **Shotgun Surgery**: one logical change forces scattered edits across many files in the diff. → gather what changes together into one module.
 - **Divergent Change**: one file or module is edited for several unrelated reasons. → split so each module changes for one reason.
 - **Speculative Generality**: abstraction, parameters, or hooks added for needs the spec doesn't have. → delete it; inline back until a real need shows.
 - **Message Chains**: long `a.b().c().d()` navigation the caller shouldn't depend on. → hide the walk behind one method on the first object.
 - **Middle Man**: a class or function that mostly just delegates onward. → cut it, call the real target direct.
 - **Refused Bequest**: a subclass or implementer that ignores or overrides most of what it inherits. → drop the inheritance, use composition.
 ### 4. Spawn both sub-agents in parallel
 **Standards sub-agent prompt** should include:
 - The full diff command and commit list.
 - The list of standards-source files you found in step 3, **plus the smell baseline from step 3** pasted in full (the sub-agent has no other access to it).
 - The brief: "Report, per file/hunk where relevant, (a) every place the diff violates a documented standard: cite the standard (file + the rule); and (b) any baseline smell you spot: name it and quote the hunk. Distinguish hard violations from judgement calls: documented-standard breaches can be hard, but baseline smells are always judgement calls, and a documented repo standard overrides the baseline. Skip anything tooling enforces. Under 400 words."
 **Spec sub-agent prompt** should include:
 - The diff command and commit list.
 - The path or fetched contents of the spec.
 - The brief: "Report: (a) requirements the spec asked for that are missing or partial; (b) behaviour in the diff that wasn't asked for (scope creep); (c) requirements that look implemented but where the implementation looks wrong. Quote the spec line for each finding. Under 400 words."
 If the spec is missing, skip the Spec sub-agent and note this in the final report.
 ### 5. Aggregate
 Present the two reports under `## Standards` and `## Spec` headings, verbatim or lightly cleaned. Do **not** merge or rerank findings, because the two axes are deliberately separate (see _Why two axes_).
 End with a one-line summary: total findings per axis, and the worst issue _within each axis_ (if any). Don't pick a single winner across axes: that's the reranking the separation exists to prevent.
 ## Why two axes
 A change can pass one axis and fail the other:
 - Code that follows every standard but implements the wrong thing → **Standards pass, Spec fail.**
 - Code that does exactly what the issue asked but breaks the project's conventions → **Spec pass, Standards fail.**
 Reporting them separately stops one axis from masking the other.
@@ -1,3 +0,0 @@
 interface:
  display_name: "Code Review"
  short_description: "Review a diff on standards and spec"
@@ -1,37 +0,0 @@
 # Deepening
 How to deepen a cluster of shallow modules safely, given its dependencies. Assumes the vocabulary in [SKILL.md](SKILL.md): **module**, **interface**, **seam**, **adapter**.
 ## Dependency categories
 When assessing a candidate for deepening, classify its dependencies. The category determines how the deepened module is tested across its seam.
 ### 1. In-process
 Pure computation, in-memory state, no I/O. Always deepenable: merge the modules and test through the new interface directly. No adapter needed.
 ### 2. Local-substitutable
 Dependencies that have local test stand-ins (PGLite for Postgres, in-memory filesystem). Deepenable if the stand-in exists. The deepened module is tested with the stand-in running in the test suite. The seam is internal; no port at the module's external interface.
 ### 3. Remote but owned (Ports & Adapters)
 Your own services across a network boundary (microservices, internal APIs). Define a **port** (interface) at the seam. The deep module owns the logic; the transport is injected as an **adapter**. Tests use an in-memory adapter. Production uses an HTTP/gRPC/queue adapter.
 Recommendation shape: *"Define a port at the seam, implement an HTTP adapter for production and an in-memory adapter for testing, so the logic sits in one deep module even though it's deployed across a network."*
 ### 4. True external (Mock)
 Third-party services (Stripe, Twilio, etc.) you don't control. The deepened module takes the external dependency as an injected port; tests provide a mock adapter.
 ## Seam discipline
 - **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a port unless at least two adapters are justified (typically production + test). A single-adapter seam is just indirection.
 - **Internal seams vs external seams.** A deep module can have internal seams (private to its implementation, used by its own tests) as well as the external seam at its interface. Don't expose internal seams through the interface just because tests use them.
 ## Testing strategy: replace, don't layer
 - Old unit tests on shallow modules become waste once tests at the deepened module's interface exist; delete them.
 - Write new tests at the deepened module's interface. The **interface is the test surface**.
 - Tests assert on observable outcomes through the interface, not internal state.
 - Tests should survive internal refactors, since they describe behaviour, not implementation. If a test has to change when the implementation changes, it's testing past the interface.
@@ -1,44 +0,0 @@
 # Design It Twice
 When the user wants to explore alternative interfaces for a chosen deepening candidate, use this parallel sub-agent pattern. Based on "Design It Twice" (Ousterhout): your first idea is unlikely to be the best.
 Uses the vocabulary in [SKILL.md](SKILL.md): **module**, **interface**, **seam**, **adapter**, **leverage**.
 ## Process
 ### 1. Frame the problem space
 Before spawning sub-agents, write a user-facing explanation of the problem space for the chosen candidate:
 - The constraints any new interface would need to satisfy
 - The dependencies it would rely on, and which category they fall into (see [DEEPENING.md](DEEPENING.md))
 - A rough illustrative code sketch to ground the constraints, not a proposal, just a way to make the constraints concrete
 Show this to the user, then immediately proceed to Step 2. The user reads and thinks while the sub-agents work in parallel.
 ### 2. Spawn sub-agents
 Spawn 3+ sub-agents in parallel. Each must produce a **radically different** interface for the deepened module.
 Prompt each sub-agent with a separate technical brief (file paths, coupling details, dependency category from [DEEPENING.md](DEEPENING.md), what sits behind the seam). The brief is independent of the user-facing problem-space explanation in Step 1. Give each agent a different design constraint:
 - Agent 1: "Minimize the interface: aim for 1–3 entry points max. Maximise leverage per entry point."
 - Agent 2: "Maximise flexibility: support many use cases and extension."
 - Agent 3: "Optimise for the most common caller: make the default case trivial."
 - Agent 4 (if applicable): "Design around ports & adapters for cross-seam dependencies."
 Include both [SKILL.md](SKILL.md) vocabulary and CONTEXT.md vocabulary in the brief so each sub-agent names things consistently with the architecture language and the project's domain language.
 Each sub-agent outputs:
 1. Interface (types, methods, params, plus invariants, ordering, error modes)
 2. Usage example showing how callers use it
 3. What the implementation hides behind the seam
 4. Dependency strategy and adapters (see [DEEPENING.md](DEEPENING.md))
 5. Trade-offs: where leverage is high, where it's thin
 ### 3. Present and compare
 Present designs sequentially so the user can absorb each one, then compare them in prose. Contrast by **depth** (leverage at the interface), **locality** (where change concentrates), and **seam placement**.
 After comparing, give your own recommendation: which design you think is strongest and why. If elements from different designs would combine well, propose a hybrid. Be opinionated: the user wants a strong read, not a menu.
@@ -1,114 +0,0 @@
 ---
 name: codebase-design
 description: Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
 ---
 # Codebase Design
 Design **deep modules**: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone.
 ## Glossary
 Use these terms exactly: don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.
 **Module**: anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice. _Avoid_: unit, component, service.
 **Interface**: everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. _Avoid_: API, signature (too narrow, they refer only to the type-level surface).
 **Implementation**: what's inside a module, its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.
 **Depth**: leverage at the interface. The amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface, **shallow** when the interface is nearly as complex as the implementation.
 **Seam** _(Michael Feathers)_: a place where you can alter behaviour without editing in that place; the *location* at which a module's interface lives. Where to put the seam is its own design decision, distinct from what goes behind it. _Avoid_: boundary (overloaded with DDD's bounded context).
 **Adapter**: a concrete thing that satisfies an interface at a seam. Describes *role* (what slot it fills), not substance (what's inside).
 **Leverage**: what callers get from depth. More capability per unit of interface they learn. One implementation pays back across N call sites and M tests.
 **Locality**: what maintainers get from depth. Change, bugs, knowledge, and verification concentrate in one place rather than spreading across callers. Fix once, fixed everywhere.
 ## Deep vs shallow
 **Deep module** = small interface + lots of implementation:
 ```
 ┌─────────────────────┐
 │   Small Interface   │  ← Few methods, simple params
 ├─────────────────────┤
 │                     │
 │  Deep Implementation│  ← Complex logic hidden
 │                     │
 └─────────────────────┘
 ```
 **Shallow module** = large interface + little implementation (avoid):
 ```
 ┌─────────────────────────────────┐
 │       Large Interface           │  ← Many methods, complex params
 ├─────────────────────────────────┤
 │  Thin Implementation            │  ← Just passes through
 └─────────────────────────────────┘
 ```
 When designing an interface, ask:
 - Can I reduce the number of methods?
 - Can I simplify the parameters?
 - Can I hide more complexity inside?
 ## Principles
 - **Depth is a property of the interface, not the implementation.** A deep module can be internally composed of small, mockable, swappable parts; they just aren't part of the interface. A module can have **internal seams** (private to its implementation, used by its own tests) as well as the **external seam** at its interface.
 - **The deletion test.** Imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep.
 - **The interface is the test surface.** Callers and tests cross the same seam. If you want to test *past* the interface, the module is probably the wrong shape.
 - **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a seam unless something actually varies across it.
 ## Designing for testability
 Good interfaces make testing natural:
 1. **Accept dependencies, don't create them.**
   ```typescript
   // Testable
   function processOrder(order, paymentGateway) {}
   // Hard to test
   function processOrder(order) {
     const gateway = new StripeGateway();
   }
   ```
 2. **Return results, don't produce side effects.**
   ```typescript
   // Testable
   function calculateDiscount(cart): Discount {}
   // Hard to test
   function applyDiscount(cart): void {
     cart.total -= discount;
   }
   ```
 3. **Small surface area.** Fewer methods = fewer tests needed. Fewer params = simpler test setup.
 ## Relationships
 - A **Module** has exactly one **Interface** (the surface it presents to callers and tests).
 - **Depth** is a property of a **Module**, measured against its **Interface**.
 - A **Seam** is where a **Module**'s **Interface** lives.
 - An **Adapter** sits at a **Seam** and satisfies the **Interface**.
 - **Depth** produces **Leverage** for callers and **Locality** for maintainers.
 ## Rejected framings
 - **Depth as ratio of implementation-lines to interface-lines** (Ousterhout): rewards padding the implementation. We use depth-as-leverage instead.
 - **"Interface" as the TypeScript `interface` keyword or a class's public methods**: too narrow: interface here includes every fact a caller must know.
 - **"Boundary"**: overloaded with DDD's bounded context. Say **seam** or **interface**.
 ## Going deeper
 - **Deepening a cluster given its dependencies**, see [DEEPENING.md](DEEPENING.md): dependency categories, seam discipline, and replace-don't-layer testing.
 - **Exploring alternative interfaces**, see [DESIGN-IT-TWICE.md](DESIGN-IT-TWICE.md): spin up parallel sub-agents to design the interface several radically different ways, then compare on depth, locality, and seam placement.
@@ -1,3 +0,0 @@
 interface:
  display_name: "Codebase Design"
  short_description: "Vocabulary for deep-module design"
@@ -1,138 +0,0 @@
 ---
 name: diagnosing-bugs
 description: Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
 ---
 # Diagnosing Bugs
 A discipline for hard bugs. Skip phases only when explicitly justified.
 When exploring the codebase, read `CONTEXT.md` (if it exists) to get a clear mental model of the relevant modules, and check ADRs in the area you're touching.
 ## Redact
 This skill has you show commands, outputs and captured artifacts. **Redact every secret first**: write `<REDACTED>` in its place. Build loops against env vars, so the credential stays in the environment rather than in what you show. Captured artifacts carry auth headers: quote only the lines that carry the signal.
 If the redacted output is not enough to diagnose the bug, say so and ask the user.
 ## Phase 1: Build a feedback loop
 **This is the skill.** Everything else is mechanical. If you have a **tight** pass/fail signal for the bug (one that goes red on _this_ bug), you will find the cause; bisection, hypothesis-testing, and instrumentation all just consume it. If you don't have one, no amount of staring at code will save you.
 Spend disproportionate effort here. **Be aggressive. Be creative. Refuse to give up.**
 ### Ways to construct one, in roughly this order
 1. **Failing test** at whatever seam reaches the bug: unit, integration, e2e.
 2. **Curl / HTTP script** against a running dev server.
 3. **CLI invocation** with a fixture input, diffing stdout against a known-good snapshot.
 4. **Headless browser script** (Playwright / Puppeteer) that drives the UI and asserts on DOM/console/network.
 5. **Replay a captured trace.** Save a real network request / payload / event log to disk; replay it through the code path in isolation.
 6. **Throwaway harness.** Spin up a minimal subset of the system (one service, mocked deps) that exercises the bug code path with a single function call.
 7. **Property / fuzz loop.** If the bug is "sometimes wrong output", run 1000 random inputs and look for the failure mode.
 8. **Bisection harness.** If the bug appeared between two known states (commit, dataset, version), automate "boot at state X, check, repeat" so you can `git bisect run` it.
 9. **Differential loop.** Run the same input through old-version vs new-version (or two configs) and diff outputs.
 10. **HITL bash script.** Last resort. If a human must click, drive _them_ with `scripts/hitl-loop.template.sh` so the loop is still structured. Captured output feeds back to you.
 Build the right feedback loop, and the bug is 90% fixed.
 ### Tighten the loop
 Treat the loop as a product. Once you have _a_ loop, **tighten** it:
 - Can I make it faster? (Cache setup, skip unrelated init, narrow the test scope.)
 - Can I make the signal sharper? (Assert on the specific symptom, not "didn't crash".)
 - Can I make it more deterministic? (Pin time, seed RNG, isolate filesystem, freeze network.)
 A 30-second flaky loop is barely better than no loop; a 2-second deterministic one is tight, a debugging superpower.
 ### Non-deterministic bugs
 The goal is not a clean repro but a **higher reproduction rate**. Loop the trigger 100×, parallelise, add stress, narrow timing windows, inject sleeps. A 50%-flake bug is debuggable; 1% is not, so keep raising the rate until it's debuggable.
 ### When you genuinely cannot build a loop
 Stop and say so explicitly. List what you tried. Ask the user for: (a) access to whatever environment reproduces it, (b) a redacted captured artifact (HAR file, log dump, core dump, screen recording with timestamps), or (c) permission to add temporary production instrumentation. Do **not** proceed to hypothesise without a loop.
 ### Completion criterion: a tight loop that goes red
 Phase 1 is done when the loop is **tight** and **red-capable**: you can name **one command** (a script path, a test invocation, a curl) that you have **already run at least once** (show the invocation and its output, redacted), and that is:
 - [ ] **Red-capable**: it drives the actual bug code path and asserts the **user's exact symptom**, so it can go red on this bug and green once fixed. Not "runs without erroring"; it must be able to _catch this specific bug_.
 - [ ] **Deterministic**: same verdict every run (flaky bugs: a pinned, high reproduction rate, per above).
 - [ ] **Fast**: seconds, not minutes.
 - [ ] **Agent-runnable**: you can run it unattended; a human in the loop only via `scripts/hitl-loop.template.sh`.
 If you catch yourself reading code to build a theory before this command exists, **stop: jumping straight to a hypothesis is the exact failure this skill prevents.** No red-capable command, no Phase 2.
 ## Phase 2: Reproduce + minimise
 Run the loop. Watch it go red as the bug appears.
 Confirm:
 - [ ] The loop produces the failure mode the **user** described, not a different failure that happens to be nearby. Wrong bug = wrong fix.
 - [ ] The failure is reproducible across multiple runs (or, for non-deterministic bugs, reproducible at a high enough rate to debug against).
 - [ ] You have captured the exact symptom (error message, wrong output, slow timing) so later phases can verify the fix actually addresses it.
 ### Minimise
 Once it's red, shrink the repro to the **smallest scenario that still goes red**. Cut inputs, callers, config, data, and steps **one at a time**, re-running the loop after each cut, and keep only what's load-bearing for the failure.
 Why bother: a minimal repro shrinks the hypothesis space in Phase 3 (fewer moving parts left to suspect) and becomes the clean regression test in Phase 5.
 Done when **every remaining element is load-bearing**: removing any one of them makes the loop go green.
 Do not proceed until you have reproduced **and** minimised.
 ## Phase 3: Hypothesise
 Generate **3–5 ranked hypotheses** before testing any of them. Single-hypothesis generation anchors on the first plausible idea.
 Each hypothesis must be **falsifiable**: state the prediction it makes.
 > Format: "If <X> is the cause, then <changing Y> will make the bug disappear / <changing Z> will make it worse."
 If you cannot state the prediction, the hypothesis is a vibe: discard or sharpen it.
 **Show the ranked list to the user before testing.** They often have domain knowledge that re-ranks instantly ("we just deployed a change to #3"), or know hypotheses they've already ruled out. Cheap checkpoint, big time saver. Don't block on it; proceed with your ranking if the user is AFK.
 ## Phase 4: Instrument
 Each probe must map to a specific prediction from Phase 3. **Change one variable at a time.**
 Tool preference:
 1. **Debugger / REPL inspection** if the env supports it. One breakpoint beats ten logs.
 2. **Targeted logs** at the boundaries that distinguish hypotheses.
 3. Never "log everything and grep".
 **Tag every debug log** with a unique prefix, e.g. `[DEBUG-a4f2]`. Cleanup at the end becomes a single grep. Untagged logs survive; tagged logs die.
 **Perf branch.** For performance regressions, logs are usually wrong. Instead: establish a baseline measurement (timing harness, `performance.now()`, profiler, query plan), then bisect. Measure first, fix second.
 ## Phase 5: Fix + regression test
 Write the regression test **before the fix**, but only if there is a **correct seam** for it.
 A correct seam is one where the test exercises the **real bug pattern** as it occurs at the call site. If the only available seam is too shallow (single-caller test when the bug needs multiple callers, unit test that can't replicate the chain that triggered the bug), a regression test there gives false confidence.
 **If no correct seam exists, that itself is the finding.** Note it. The codebase architecture is preventing the bug from being locked down. Flag this for the next phase.
 If a correct seam exists:
 1. Turn the minimised repro into a failing test at that seam.
 2. Watch it fail.
 3. Apply the fix.
 4. Watch it pass.
 5. Re-run the Phase 1 feedback loop against the original (un-minimised) scenario.
 ## Phase 6: Cleanup
 Required before declaring done:
 - [ ] Original repro no longer reproduces (re-run the Phase 1 loop)
 - [ ] Regression test passes (or absence of seam is documented)
 - [ ] All `[DEBUG-...]` instrumentation removed (`grep` the prefix)
 - [ ] Throwaway prototypes deleted (or moved to a clearly-marked debug location)
 - [ ] The hypothesis that turned out correct is stated in the commit / PR message, so the next debugger learns
@@ -1,3 +0,0 @@
 interface:
  display_name: "Diagnosing Bugs"
  short_description: "Diagnose hard bugs and regressions"
@@ -1,44 +0,0 @@
 #!/usr/bin/env bash
 # Human-in-the-loop reproduction loop.
 # Copy this file, edit the steps below, and run it.
 # The agent runs the script; the user follows prompts in their terminal.
 #
 # Usage:
 #   bash hitl-loop.template.sh
 #
 # Two helpers:
 #   step "<instruction>"          → show instruction, wait for Enter
 #   capture VAR "<question>"      → show question, read response into VAR
 #
 # At the end, captured values are printed as KEY=VALUE for the agent to parse.
 #
 # `capture` prints its value back to the terminal, where the agent reads it,
 # so capture observations, and leave signing in to the user as a `step`.
 set -euo pipefail
 step() {
  printf '\n>>> %s\n' "$1"
  read -r -p "    [Enter when done] " _
 }
 capture() {
  local var="$1" question="$2" answer
  printf '\n>>> %s\n' "$question"
  read -r -p "    > " answer
  printf -v "$var" '%s' "$answer"
 }
 # --- edit below ---------------------------------------------------------
 step "Open the app at http://localhost:3000 and sign in."
 capture ERRORED "Click the 'Export' button. Did it throw an error? (y/n)"
 capture ERROR_MSG "Paste the error message (or 'none'):"
 # --- edit above ---------------------------------------------------------
 printf '\n--- Captured ---\n'
 printf 'ERRORED=%s\n' "$ERRORED"
 printf 'ERROR_MSG=%s\n' "$ERROR_MSG"
@@ -1,47 +0,0 @@
 # ADR Format
 ADRs live in `docs/adr/` and use sequential numbering: `0001-slug.md`, `0002-slug.md`, etc.
 Create the `docs/adr/` directory lazily: only when the first ADR is needed.
 ## Template
 ```md
 # {Short title of the decision}
 {1-3 sentences: what's the context, what did we decide, and why.}
 ```
 That's it. An ADR can be a single paragraph. The value is in recording *that* a decision was made and *why*, not in filling out sections.
 ## Optional sections
 Only include these when they add genuine value. Most ADRs won't need them.
 - **Status** frontmatter (`proposed | accepted | deprecated | superseded by ADR-NNNN`): useful when decisions are revisited
 - **Considered Options**: only when the rejected alternatives are worth remembering
 - **Consequences**: only when non-obvious downstream effects need to be called out
 ## Numbering
 Scan `docs/adr/` for the highest existing number and increment by one.
 ## When to offer an ADR
 All three of these must be true:
 1. **Hard to reverse**: the cost of changing your mind later is meaningful
 2. **Surprising without context**: a future reader will look at the code and wonder "why on earth did they do it this way?"
 3. **The result of a real trade-off**: there were genuine alternatives and you picked one for specific reasons
 If a decision is easy to reverse, skip it: you'll just reverse it. If it's not surprising, nobody will wonder why. If there was no real alternative, there's nothing to record beyond "we did the obvious thing."
 ### What qualifies
 - **Architectural shape.** "We're using a monorepo." "The write model is event-sourced, the read model is projected into Postgres."
 - **Integration patterns between contexts.** "Ordering and Billing communicate via domain events, not synchronous HTTP."
 - **Technology choices that carry lock-in.** Database, message bus, auth provider, deployment target. Not every library: just the ones that would take a quarter to swap out.
 - **Boundary and scope decisions.** "Customer data is owned by the Customer context; other contexts reference it by ID only." The explicit no-s are as valuable as the yes-s.
 - **Deliberate deviations from the obvious path.** "We're using manual SQL instead of an ORM because X." Anything where a reasonable reader would assume the opposite. These stop the next engineer from "fixing" something that was deliberate.
 - **Constraints not visible in the code.** "We can't use AWS because of compliance requirements." "Response times must be under 200ms because of the partner API contract."
 - **Rejected alternatives when the rejection is non-obvious.** If you considered GraphQL and picked REST for subtle reasons, record it; otherwise someone will suggest GraphQL again in six months.
@@ -1,60 +0,0 @@
 # CONTEXT.md Format
 ## Structure
 ```md
 # {Context Name}
 {One or two sentence description of what this context is and why it exists.}
 ## Language
 **Order**:
 {A one or two sentence description of the term}
 _Avoid_: Purchase, transaction
 **Invoice**:
 A request for payment sent to a customer after delivery.
 _Avoid_: Bill, payment request
 **Customer**:
 A person or organization that places orders.
 _Avoid_: Client, buyer, account
 ```
 ## Rules
 - **Be opinionated.** When multiple words exist for the same concept, pick the best one and list the others under `_Avoid_`.
 - **Keep definitions tight.** One or two sentences max. Define what it IS, not what it does.
 - **Only include terms specific to this project's context.** General programming concepts (timeouts, error types, utility patterns) don't belong even if the project uses them extensively. Before adding a term, ask: is this a concept unique to this context, or a general programming concept? Only the former belongs.
 - **Group terms under subheadings** when natural clusters emerge. If all terms belong to a single cohesive area, a flat list is fine.
 ## Single vs multi-context repos
 **Single context (most repos):** One `CONTEXT.md` at the repo root.
 **Multiple contexts:** A `CONTEXT-MAP.md` at the repo root lists the contexts, where they live, and how they relate to each other:
 ```md
 # Context Map
 ## Contexts
 - [Ordering](./src/ordering/CONTEXT.md): receives and tracks customer orders
 - [Billing](./src/billing/CONTEXT.md): generates invoices and processes payments
 - [Fulfillment](./src/fulfillment/CONTEXT.md): manages warehouse picking and shipping
 ## Relationships
 - **Ordering → Fulfillment**: Ordering emits `OrderPlaced` events; Fulfillment consumes them to start picking
 - **Fulfillment → Billing**: Fulfillment emits `ShipmentDispatched` events; Billing consumes them to generate invoices
 - **Ordering ↔ Billing**: Shared types for `CustomerId` and `Money`
 ```
 The skill infers which structure applies:
 - If `CONTEXT-MAP.md` exists, read it to find contexts
 - If only a root `CONTEXT.md` exists, single context
 - If neither exists, create a root `CONTEXT.md` lazily when the first term is resolved
 When multiple contexts exist, infer which one the current topic relates to. If unclear, ask.
@@ -1,74 +0,0 @@
 ---
 name: domain-modeling
 description: Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
 ---
 # Domain Modeling
 Actively build and sharpen the project's domain model as you design. This is the *active* discipline: challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely *reading* `CONTEXT.md` for vocabulary is not this skill: that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)
 ## File structure
 Most repos have a single context:
 ```
 /
 ├── CONTEXT.md
 ├── docs/
 │   └── adr/
 │       ├── 0001-event-sourced-orders.md
 │       └── 0002-postgres-for-write-model.md
 └── src/
 ```
 If a `CONTEXT-MAP.md` exists at the root, the repo has multiple contexts. The map points to where each one lives:
 ```
 /
 ├── CONTEXT-MAP.md
 ├── docs/
 │   └── adr/                          ← system-wide decisions
 ├── src/
 │   ├── ordering/
 │   │   ├── CONTEXT.md
 │   │   └── docs/adr/                 ← context-specific decisions
 │   └── billing/
 │       ├── CONTEXT.md
 │       └── docs/adr/
 ```
 Create files lazily: only when you have something to write. If no `CONTEXT.md` exists, create one when the first term is resolved. If no `docs/adr/` exists, create it when the first ADR is needed.
 ## During the session
 ### Challenge against the glossary
 When the user uses a term that conflicts with the existing language in `CONTEXT.md`, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y. Which is it?"
 ### Sharpen fuzzy language
 When the user uses vague or overloaded terms, propose a precise canonical term. "You're saying 'account': do you mean the Customer or the User? Those are different things."
 ### Discuss concrete scenarios
 When domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.
 ### Cross-reference with code
 When the user states how something works, check whether the code agrees. If you find a contradiction, surface it: "Your code cancels entire Orders, but you just said partial cancellation is possible. Which is right?"
 ### Update CONTEXT.md inline
 When a term is resolved, update `CONTEXT.md` right there. Don't batch these up: capture them as they happen. Use the format in [CONTEXT-FORMAT.md](./CONTEXT-FORMAT.md).
 `CONTEXT.md` should be totally devoid of implementation details. Do not treat `CONTEXT.md` as a spec, a scratch pad, or a repository for implementation decisions. It is a glossary and nothing else.
 ### Offer ADRs sparingly
 Only offer to create an ADR when all three are true:
 1. **Hard to reverse**: the cost of changing your mind later is meaningful
 2. **Surprising without context**: a future reader will wonder "why did they do it this way?"
 3. **The result of a real trade-off**: there were genuine alternatives and you picked one for specific reasons
 If any of the three is missing, skip the ADR. Use the format in [ADR-FORMAT.md](./ADR-FORMAT.md).
@@ -1,3 +0,0 @@
 interface:
  display_name: "Domain Modeling"
  short_description: "Build and sharpen a domain model"
@@ -1,49 +0,0 @@
 ---
 name: dual-review
 description: "Run two independent, read-only reviews of a branch diff in parallel — correctness/security and maintainability — then synthesize prioritized findings. Use for a second review axis alongside code-review, a combined deep plus code-quality audit, or when the user asks for dual review. Runs both axes as parallel sub-agents so they do not pollute each other's context."
 ---
 # Dual review
 Two independent, read-only reviews of the diff between `HEAD` and a fixed point, then a synthesis:
 - **Correctness/security** — bugs, breakages, security gaps, devex regressions, and feature-gate leaks in the changed code.
 - **Maintainability** — structural quality, simplification, boundaries, and codebase health in the changed code.
 Together with `code-review` (spec, standards) these form the four review axes. Both axes run as **parallel sub-agents**, then this skill aggregates their findings.
 The issue tracker should have been provided to you. If `docs/agents/issue-tracker.md` is missing, tell the user to run `setup-skills`.
 ## Process
 ### 1. Pin the fixed point
 Whatever the user said is the fixed point (a commit SHA, branch name, tag, `main`, `HEAD~5`, etc.). If they did not specify one, ask for it.
 Capture the diff command once: `git diff <fixed-point>...HEAD` (three-dot, against the merge-base). Note the commit list via `git log <fixed-point>..HEAD --oneline`.
 Confirm the fixed point resolves (`git rev-parse <fixed-point>`) and the diff is non-empty before spawning anything. A bad ref or empty diff fails here, not inside two sub-agents.
 ### 2. Gather context
 Gather the diff and the contents of changed files, plus only the surrounding context needed to trace behavior. Read each changed file at its current version. Do not review files outside the diff scope.
 ### 3. Spawn both sub-agents in parallel
 Both get the same scoped diff and changed-file context and a distinct task.
 **Correctness/security brief:** "Report, per file/hunk where relevant, every bug, breakage, security gap, devex regression, or feature-gate leak in the added or modified code. Cite the hunk and explain the concrete failure or exposure. Distinguish hard defects from judgement calls. Under 400 words."
 **Maintainability brief:** "Report, per file/hunk where relevant, structural quality problems in the added or modified code: duplication, large or over-generalized units, weak boundaries, primitive obsession, speculative generality, or other smells that will cost to maintain. Name the problem and quote the hunk; flag hard violations from judgement calls. Under 400 words."
 Ask each to report prioritized findings with file/line evidence and to **not** edit files.
 ### 4. Synthesize
 Wait for both runs before synthesizing. Deduplicate overlapping findings, resolve disagreements using the evidence, and list the highest-priority findings first. Present them under `## Correctness/security` and `## Maintainability` headings. If there are no findings, say so and note the review scope and its limitations. Do not restate child summaries already visible to the user.
 ## Review constraints
 - Report issues only in code added or modified within the review scope.
 - Do not present uncertain or unfinished research as a finding.
 - Do not fix reported issues unless the user asks.
@@ -1,5 +0,0 @@
 interface:
  display_name: "Dual Review"
  short_description: "Parallel correctness, security, and maintainability review"
 policy:
  allow_implicit_invocation: false
@@ -1,40 +0,0 @@
 ---
 name: feedback-bundle
 description: Post a Gitea feedback issue linked to the current commit and attach logs or screenshots. Use when the user reports a problem and asks to file it with evidence, open a bug ticket, or says "feedback-bundle" or "attach the log".
 ---
 # Feedback Bundle
 Create a Gitea issue in the current repository, linked to its current `HEAD`, with optional files attached.
 ## Run
 Run from the repository the issue should belong to, using `feedback_bundle.py` beside this file:
 ```sh
 python3 <skill-dir>/feedback_bundle.py "Describe the problem" @app.log @screenshot.png
 ```
 The script requires Python `requests`. Without `--token`, it reads the matching host token from `~/.config/tea/config.yml` and requires PyYAML. The default repository is read from `git remote get-url origin`.
 Common options:
 ```sh
 python3 <skill-dir>/feedback_bundle.py "Description" @log.txt \
  --title "Short issue title" --label bug --dry-run
 ```
 - `@file` — attach an existing file; paths are resolved from the current working directory. The `@` is optional.
 - `--title` — override the default title (the description's first line).
 - `--label` — add a label; repeat to add more. Labels are resolved against the repository's Gitea labels; unknown labels are skipped with a warning.
 - `--repo` — override the remote URL. Use a full Git remote URL (SSH, SCP-style, or HTTPS), not an `owner/repo` slug.
 - `--token` — provide a Gitea token instead of reading tea config.
 - `--dry-run` — print the issue preview without creating an issue or uploading files. Authentication is still loaded; labels require an API request.
 ## What happens
 1. The script reads `HEAD`, repository host/owner/name, and authentication.
 2. It creates an issue whose body includes a link to that exact commit.
 3. It uploads each attachment to the issue and adds download links to the body.
 Gitea only accepts issue attachments after an issue exists. If uploads fail because attachments are disabled (403/404), the issue already exists without the files; enable attachments on the Gitea instance, then attach the files to that issue manually. The instance setting is `[attachment] ENABLED = true` in `app.ini` (or `ATTACHMENTS_ENABLED`), not a web UI toggle.
@@ -1,5 +0,0 @@
 interface:
  display_name: "Feedback Bundle"
  short_description: "File Gitea issues with commit links and attached evidence"
 policy:
  allow_implicit_invocation: false
@@ -1,183 +0,0 @@
 #!/usr/bin/env python3
 """Post a feedback ticket to a Gitea repo, linked to the current commit, with
 files attached to the issue.
    feedback_bundle.py [--title T] [--label L ...] [--repo REMOTE_URL] [--token T]
                       [--dry-run] <description> [@file ...]
 Flow (Gitea attaches files to an existing issue, there is no standalone upload
 endpoint): create the issue, then POST each file to
 /repos/{owner}/{repo}/issues/{number}/assets (multipart field "attachment").
 The ticket body links to `git HEAD` and lists the attached files.
 If the assets endpoint returns 403/404 the instance has attachments disabled
 (admin `[attachment] ENABLED = true` in app.ini — not a web-UI setting); the
 script reports this instead of posting a ticket with no attachments.
 """
 from __future__ import annotations
 import argparse
 import os
 import re
 import subprocess
 import sys
 try:
    import requests
 except ImportError:  # pragma: no cover
    sys.exit("requests is required: pip install requests")
 def run(*args: str) -> str:
    return subprocess.run(args, capture_output=True, text=True, check=True).stdout.strip()
 def parse_remote(remote: str | None) -> tuple[str, str, str]:
    """(host, owner, repo) from a git remote URL (scp, ssh, or https forms)."""
    url = remote or run("git", "remote", "get-url", "origin")
    u = re.sub(r"^[a-z]+://", "", url.strip(), flags=re.I)  # strip scheme
    u = u.split("@", 1)[-1]                                  # strip user@
    u = u.replace(".git", "").rstrip("/")
    host, rest = (u.split(":", 1) if ":" in u else u.split("/", 1))
    owner, repo = rest.split("/", 1)
    return host, owner, repo
 def load_token(host: str, token: str | None) -> str:
    if token:
        return token
    cfg = os.path.expanduser("~/.config/tea/config.yml")
    if not os.path.exists(cfg):
        sys.exit("no --token and no tea config found; cannot authenticate")
    import yaml
    data = yaml.safe_load(open(cfg).read())
    for login in data.get("logins", []):
        if login.get("url").rstrip("/").endswith(host) and login.get("token"):
            return login["token"]
    sys.exit(f"no stored token for host {host}; pass --token")
 def resolve_labels(host, token, owner, repo, names):
    """Gitea's issue API wants label IDs, not names. Map names to IDs; warn on
    unknown labels and drop them."""
    if not names:
        return []
    url = f"https://{host}/api/v1/repos/{owner}/{repo}/labels"
    r = requests.get(url, headers={"Authorization": f"token {token}"})
    if r.status_code >= 400:
        sys.exit(f"could not list labels ({r.status_code}): {r.text}")
    by_name = {l["name"]: l["id"] for l in r.json()}
    ids = []
    for n in names:
        if n in by_name:
            ids.append(by_name[n])
        else:
            print(f"warning: unknown label '{n}', skipping", file=sys.stderr)
    return ids
 def create_issue(host, token, owner, repo, title, body, label_ids):
    url = f"https://{host}/api/v1/repos/{owner}/{repo}/issues"
    r = requests.post(url, json={"title": title, "body": body, "labels": label_ids},
                      headers={"Authorization": f"token {token}"})
    if r.status_code >= 400:
        sys.exit(f"issue create failed ({r.status_code}): {r.text}")
    return r.json()
 def attach(host, token, owner, repo, issue_number, path):
    """Attach one file to an issue. Returns the browser_download_url, or None
    on 403/404 (attachments disabled on this instance)."""
    url = f"https://{host}/api/v1/repos/{owner}/{repo}/issues/{issue_number}/assets"
    with open(path, "rb") as f:
        r = requests.post(url, files={"attachment": f},
                          params={"name": os.path.basename(path)},
                          headers={"Authorization": f"token {token}"})
    if r.status_code in (403, 404):
        return None
    r.raise_for_status()
    return r.json().get("browser_download_url")
 def main() -> int:
    ap = argparse.ArgumentParser(description="Post a commit-linked feedback ticket with attachments.")
    ap.add_argument("description", help="ticket description (text before any @file)")
    ap.add_argument("files", nargs="*", help="files to attach (@name or name)")
    ap.add_argument("--title", help="ticket title (default: first line of description)")
    ap.add_argument("--label", action="append", default=[], help="label to add (repeatable)")
    ap.add_argument("--repo", help="Git remote URL (default: git remote origin)")
    ap.add_argument("--token", help="Gitea token (default: tea config for the host)")
    ap.add_argument("--dry-run", action="store_true", help="print the ticket without posting it")
    args = ap.parse_args()
    files = [f.lstrip("@") for f in args.files]
    for p in files:
        if not os.path.isfile(p):
            sys.exit(f"not a file: {p}")
    host, owner, repo = parse_remote(args.repo) if args.repo else (None, None, None)
    if not host:
        host, owner, repo = parse_remote(None)
    token = load_token(host, args.token)
    sha = run("git", "rev-parse", "HEAD")
    short = sha[:7]
    commit_url = f"https://{host}/{owner}/{repo}/commit/{sha}"
    desc = args.description.strip()
    title = (args.title or desc).strip().splitlines()[0] if desc else "(no description)"
    labels = resolve_labels(host, token, owner, repo, [l for l in args.label if l])
    seed = f"{desc}\n\n**Linked commit:** [{short}]({commit_url}) (`{sha}`)"
    # Preview only: no issue is created and nothing is uploaded.
    if args.dry_run:
        att_line = "\n".join(f"- {os.path.basename(p)}" for p in files) or "(none)"
        body = seed + "\n\n**Attachments:**\n" + att_line
        print("=== DRY RUN (nothing created) ===")
        print(f"repo:    {owner}/{repo}")
        print(f"commit:  {commit_url}")
        print(f"title:   {title}")
        print(f"labels:  {[l for l in args.label if l] or '(none)'}")
        print(f"attach:  {att_line}")
        print("=== body ===")
        print(body)
        return 0
    # Create the issue first (Gitea attaches files to an existing issue).
    issue = create_issue(host, token, owner, repo, title, seed, labels)
    number = issue["number"]
    attached = []
    missing = False
    for p in files:
        url = attach(host, token, owner, repo, number, p)
        if url is None:
            missing = True
        else:
            attached.append((os.path.basename(p), url))
    if missing and not attached:
        print(
            "ERROR: attachment endpoint returned 403/404 — attachments are disabled on this "
            "instance (admin setting `[attachment] ENABLED = true` in app.ini; there is no "
            "web-UI toggle). Enable it and re-run. The issue was created but has no attachments.",
            file=sys.stderr,
        )
        return 2
    if attached:
        body = seed + "\n\n**Attachments:**\n" + "\n".join(f"- [{n}]({u})" for n, u in attached)
        patch_url = f"https://{host}/api/v1/repos/{owner}/{repo}/issues/{number}"
        requests.patch(patch_url, json={"body": body},
                       headers={"Authorization": f"token {token}"})
    if missing:
        print(f"warning: {sum(1 for _ in range(0)) + (len(files) - len(attached))} file(s) could not be attached (instance may have attachments disabled)",
              file=sys.stderr)
    print(f"Created: {issue.get('html_url', '')}")
    return 0
 if __name__ == "__main__":
    raise SystemExit(main())
@@ -1,38 +0,0 @@
 ---
 name: forge-cli
 description: Provides copy-paste, non-interactive tea, gh, and glab commands for issue and pull or merge request work. Use whenever a task needs tracker inspection, assignment, labels, comments, reviews, CI, or merge operations.
 ---
 # Forge CLI
 Use this shared skill instead of reproducing forge CLI syntax in another skill.
 Run the bundled read-only preflight with the target repository as the working directory:
 ```bash
 bash <resolved-skill-dir>/scripts/detect-forge.sh
 ```
 Resolve `<resolved-skill-dir>` from this `SKILL.md`, not from the target repository.
 It prints one selected CLI: `forge=tea`, `forge=gh`, or `forge=glab`. Read **only** the matching recipe:
 - `forge=tea` → `references/tea.md`
 - `forge=gh` → `references/gh.md`
 - `forge=glab` → `references/glab.md`
 Do not load or compare the other recipes. This keeps one forge's syntax in context.
 Commands assume the current checkout identifies the repository. Replace `ID` (issue), `PR` (pull/merge request), `USER`, `OLD`, `NEW`, `BASE`, `HEAD`, `TITLE`, and `BODY_FILE`. Keep bodies in a file to avoid quoting and interactive prompts.
 ## Shared safety rules
 1. Use JSON output for reads; inspect the returned object before deciding eligibility, dependencies, or merge readiness.
 2. Use one mutation per state transition, then re-read and confirm the state/label/comment changed.
 3. If a recipe returns an unknown command or flag, run that CLI command's `--help`; do not switch forge CLIs or guess.
 4. Check command exit status. Authentication, repository resolution, missing permissions, unsupported relationships, and unavailable CI are blockers.
 5. Do not use auto-merge, admin/bypass, or force options. Merge only after every workflow gate passes.
 Honor `DEV_WORKFLOW_FORGE=tea`, `gh`, or `glab` when explicitly configured; otherwise use GitHub → `gh`, GitLab → `glab`, and other Tea-compatible hosts → `tea`.
 Keep these identifiers distinct: tracker issue/ticket ID, PR/MR ID, durable URL, and local branch name. Never use a branch name as ticket identity.
@@ -1,3 +0,0 @@
 interface:
  display_name: "Forge CLI"
  short_description: "Copy-paste, non-interactive CLI for Forge"
@@ -1,37 +0,0 @@
 # GitHub CLI recipe
 Use `gh` commands in the current repository. Use `--json` for reads and `--body-file` for multiline bodies.
 ## Read
 ```bash
 gh issue view ID --comments --json number,state,url,title,body,assignees,labels,comments,parent,subIssues,blockedBy
 gh issue list --state all --limit 100 --json number,state,url,title,body,assignees,labels,parent,subIssues,blockedBy
 gh pr view PR --comments --json number,state,url,title,body,assignees,labels,baseRefName,headRefName,comments,reviews,reviewDecision,statusCheckRollup,mergeable
 gh pr checks PR --required --json bucket,name,state,completedAt
 ```
 If an installed version rejects an optional JSON field, remove that field and rerun the same read. Native parent, child, and dependency fields may be unavailable; otherwise use the explicit links documented in the ticket.
 ## Issue lifecycle
 ```bash
 gh issue edit ID --add-assignee USER
 gh issue edit ID --add-label NEW --remove-label OLD
 gh issue comment ID --body-file BODY_FILE
 gh issue close ID
 ```
 `@me` means the current authenticated user.
 ## Pull request lifecycle
 ```bash
 gh pr create --base BASE --head HEAD --title TITLE --body-file BODY_FILE
 gh pr comment PR --body-file BODY_FILE
 gh pr review PR --comment --body-file BODY_FILE
 gh pr review PR --request-changes --body-file BODY_FILE
 gh pr merge PR --squash --delete-branch
 ```
 Re-read the issue/PR after every mutation. Do not use `--admin` or `--auto`.
@@ -1,34 +0,0 @@
 # GitLab CLI recipe
 Use `glab` commands in the current repository. Use JSON output for reads and file-backed descriptions for multiline bodies.
 ## Read
 ```bash
 glab issue view ID --comments --output json
 glab issue list --all --per-page 100 --output json
 glab mr view PR --comments --output json
 ```
 Native parent, child, and dependency fields may be unavailable. If absent, use the explicit links documented in the ticket.
 ## Issue lifecycle
 ```bash
 glab issue update ID --assignee USER
 glab issue update ID --label NEW --unlabel OLD
 glab issue note ID --message "$(cat BODY_FILE)"
 glab issue close ID
 ```
 `--assignee USER` replaces existing assignees; prefix with `+` to add without replacing.
 ## Merge request lifecycle
 ```bash
 glab mr create --target-branch BASE --source-branch HEAD --title TITLE --description-file BODY_FILE --yes
 glab mr note create PR --message "$(cat BODY_FILE)"
 glab mr merge PR --squash --remove-source-branch --auto-merge=false --yes
 ```
 Use `glab mr note create` for review findings or requested changes. Re-read the issue/MR after every mutation. Do not use auto-merge or bypass options.
@@ -1,32 +0,0 @@
 # Tea recipe
 Tea calls the numeric identifier an `index`; it is still the tracker issue/PR ID. Use `--output json` for reads. Tea accepts comma-separated usernames/labels for the plural flags.
 ## Read
 ```bash
 tea issues ID --comments --output json --fields index,state,url,title,body,assignees,labels,comments
 tea issues list --state all --limit 100 --output json --fields index,state,url,title,body,assignees,labels
 tea pulls PR --comments --output json --fields index,state,url,title,body,assignees,labels,base,head,comments,ci
 ```
 Native parent, child, and dependency fields may be unavailable. If absent, use the explicit links documented in the ticket.
 ## Issue lifecycle
 ```bash
 tea issues edit --add-assignees USER ID
 tea issues edit --add-labels NEW --remove-labels OLD ID
 tea comments add ID --description "$(cat BODY_FILE)"
 tea issues close ID
 ```
 ## Pull request lifecycle
 ```bash
 tea pulls create --base BASE --head HEAD --title TITLE --description "$(cat BODY_FILE)"
 tea comments add PR --description "$(cat BODY_FILE)"
 tea pulls merge PR --style squash
 ```
 Use `tea comments add` for review findings or requested changes. Re-read the issue/PR after every mutation.
@@ -1,47 +0,0 @@
 #!/usr/bin/env bash
 set -u
 remote="$(git remote get-url origin 2>/dev/null || true)"
 if [[ -z "$remote" ]]; then
 	printf '%s\n' 'No origin remote found; run this inside a checked-out forge repository.' >&2
 	exit 1
 fi
 choice="${DEV_WORKFLOW_FORGE:-}"
 if [[ -z "$choice" ]]; then
 	case "$remote" in
 	*github.com*) choice=gh ;;
 	*gitlab.com* | *gitlab.*) choice=glab ;;
 	*) choice=tea ;;
 	esac
 fi
 case "$choice" in
 tea | gh | glab) ;;
 *)
 	printf 'Unsupported DEV_WORKFLOW_FORGE=%s (use tea, gh, or glab).\n' "$choice" >&2
 	exit 1
 	;;
 esac
 if ! command -v "$choice" >/dev/null 2>&1; then
 	printf 'Required forge CLI not found: %s\n' "$choice" >&2
 	exit 1
 fi
 case "$choice" in
 tea) "$choice" login list >/dev/null 2>&1 || {
 	printf '%s authentication check failed.\n' "$choice" >&2
 	exit 1
 } ;;
 gh) "$choice" auth status >/dev/null 2>&1 || {
 	printf '%s authentication check failed.\n' "$choice" >&2
 	exit 1
 } ;;
 glab) "$choice" auth status >/dev/null 2>&1 || {
 	printf '%s authentication check failed.\n' "$choice" >&2
 	exit 1
 } ;;
 esac
 printf 'forge=%s\nremote=%s\n' "$choice" "$remote"
@@ -1,7 +0,0 @@
 ---
 name: grill-with-docs
 description: A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
 disable-model-invocation: true
 ---
 Call the Skill tool twice, for "grilling" and "domain-modeling".
@@ -1,5 +0,0 @@
 interface:
  display_name: "Grill with Docs"
  short_description: "Grill a design and write its docs"
 policy:
  allow_implicit_invocation: false
@@ -1,40 +0,0 @@
 ---
 name: implement-spec
 description: "Implement the result of /to-spec and /to-tickets in code."
 disable-model-invocation: true
 ---
 You have been provided a spec. This spec should have tickets associated with it, describing how to implement the spec.
 The issue tracker should have been provided to you. If not, tell the user to run `/setup-skills`.
 The goal is the entire spec implemented on a single **integration branch**, with every ticket resolved the way the issue tracker closes work.
 The tickets are not a list of steps. They are a **task graph** with blocking relationships between them. This means there is always a **frontier** of tickets which are ready to be grabbed.
 Communication to and from subagents should be sparse. Communicate primarily through **context pointers**: to the spec, tickets, research notes, and previous commits. Don't duplicate information already available via pointers.
 **Implementer subagents** should be run in the background where possible for maximum concurrency.
 ## Steps
 1. Read the spec and tickets to understand the task graph.
 2. (optional) Use an **exploration subagent** to conduct any exploration required by the tickets - relevant codebase files or external documentation. Ensure the exploration subagent can save files - it should save its markdown notes in a directory outside the repo, accessible by all future subagents. This lets **implementer subagents** focus on implementation rather than exploration.
 3. Create the integration branch. If the issue tracker closes work through PRs, or the user asks for one, open a draft PR after the first merge in step 5 (a branch with no commits ahead of main can't open one), marked as closing the spec and tickets.
 4. Use **implementer subagents** to implement each ticket, each in its own worktree on its own branch. Each implementer subagent:
   - confirms its worktree is based on the integration branch before starting, and resets onto it if not;
   - calls the Skill tool with `tdd` to build the ticket;
   - merges the integration branch tip into its own branch before reporting done
 5. Once an **implementer subagent** completes, merge its work to the integration branch with a **merger subagent**.
 6. If this changes the **frontier** of available tickets, kick off more **implementer subagents** to work on the new tickets. This allows for maximum concurrency.
 7. Once all tickets are complete, call the Skill tool with `code-review` on the integration branch. Fix all issues raised by the code review in a single **implementer subagent**.
 8. If a draft PR exists, mark it ready for review. Otherwise, resolve each ticket the way the issue tracker closes work, and report the integration branch.
 9. Clean up all **implementer subagent** worktrees.
@@ -1,5 +0,0 @@
 interface:
  display_name: "Implement Spec"
  short_description: "Implement the result of /to-spec and /to-tickets in code."
 policy:
  allow_implicit_invocation: false
@@ -1,15 +0,0 @@
 ---
 name: implement
 description: "Implement a piece of work based on a spec or set of tickets."
 disable-model-invocation: true
 ---
 Implement the work described by the user in the spec or tickets.
 Use /tdd where possible, at pre-agreed seams.
 Run typechecking regularly, single test files regularly, and the full test suite once at the end.
 Once done, use /code-review to review the work.
 Commit your work to the current branch.
@@ -1,5 +0,0 @@
 interface:
  display_name: "Implement"
  short_description: "Build work from a spec or tickets"
 policy:
  allow_implicit_invocation: false
@@ -1,52 +0,0 @@
 ---
 name: implementation-orchestrator
 description: Implements ready-for-agent tracker tickets through isolated worktrees, pull requests, review, conflict resolution, and merge. Use after wayfinder and planning have produced tickets, with or without a ticket ID/URL; no ticket ID/URL means process available tickets. Does not create planning tickets.
 disable-model-invocation: true
 ---
 # Implementation orchestrator
 Use this skill only after the human-led wayfinder, plan, spec, and ticket phases. **A tracker ticket ID or URL is optional. Without one, process all eligible open tickets in the current repository.** With an argument, process only that ticket. An ID means the forge's issue/ticket identifier, not a branch, session, or PR ID.
 ## Compose before acting
 Read and use these skills for their specialized work:
 - `pi-subagents` for parallel workers and managed worktrees
 - `worktrees` for worktree conventions and cleanup
 - `code-review` for independent correctness/spec and standards review
 - `resolving-merge-conflicts` for conflicts; never abort a merge or rebase
 - `forge-cli` for forge selection, authentication, and CLI recipes
 Load the shared `forge-cli` skill and run its bundled read-only preflight with the target repository as the working directory. Read only the detected CLI recipe; copy those commands instead of rediscovering syntax. Run `<cli> <command> --help` only when a recipe fails with an unknown command or flag. Do not add an API client or dependency.
 ## Durable state
 The tracker is the source of truth. Read the root, every candidate ticket, and their existing comments before acting. Use one active label per ticket:
 - `workflow:ready-for-agent`
 - `workflow:ready-for-human`
 - `workflow:implementing`
 - `workflow:pr-open`
 - `workflow:review`
 - `workflow:changes-requested`
 - `workflow:conflict`
 - `workflow:blocked`
 - `workflow:merged`
 Comments are the message board. Record claims, status, evidence, questions, decisions, handoffs, PR URLs, check results, and recovery details there. If a worker has an issue with a ticket, comment on the ticket and wait for the human or another agent rather than guessing. For PR/MR issues, use the PR/MR's native comment/review function and also link the discussion from the ticket. Use `DEV_WORKFLOW_HUMAN_REVIEWER` or repository workflow configuration for the human identity; if none is configured, ask before assigning and do not invent an identity.
 ## Run loop
 1. **Scope.** If a ticket ID/URL is supplied, confirm it belongs to the current repository and inspect only that ticket; do not process its siblings, parent, or descendants. If omitted, query all open tickets in the current repository. Use native child/dependency relationships; otherwise require explicit linked URLs or the documented blocker marker. Never infer order from titles.
 2. **Schedule.** Eligible means open, unassigned, unblocked, and labelled `workflow:ready-for-agent`. Already `workflow:ready-for-human` tickets are skipped and reported. For a supplied ticket, process only that ticket; if it is blocked, report it and do not process its blockers. With no supplied ticket, build the dependency frontier: launch currently unblocked tickets in parallel, up to three workers, and hold dependent tickets until every blocker is merged or otherwise resolved. Re-query after each merge and launch newly unblocked tickets; dependency chains therefore run sequentially while unrelated tickets remain parallel.
 3. **Claim.** Assign each selected ticket to the current forge identity before work. Replace its state with `workflow:implementing` and comment the claim.
 4. **Implement.** Launch one worker per ticket with `pi-subagents` in an isolated worktree, maximum three in flight by default. Pass the complete ticket, comments, acceptance criteria, non-goals, linked context, and validation contract. Each worker makes only ticket-scoped changes, commits them, and reports changed files and checks.
 5. **Escalate.** For missing requirements, unsafe ambiguity, credentials, unrelated scope, or a product/architecture decision, stop. For human review or judgment, assign the ticket to the configured human reviewer, apply `workflow:ready-for-human`, and comment the exact request. If no human identity is configured, ask before assigning and changing the state. Use `workflow:blocked` for non-human blockers. Preserve the worktree on failure.
 6. **PR.** Run documented local checks. Push the branch and create exactly one PR/MR for the ticket. Link the ticket's tracker ID and title in the PR/MR, set `workflow:pr-open`, and comment the PR/MR URL on the ticket. Keep the worktree.
 7. **Review.** Set `workflow:review`. Run a fresh-context `code-review` review with correctness/spec and standards axes separate. Post findings through the PR/MR comment/review function. For actionable findings, set `workflow:changes-requested`, send one fix worker, rerun checks, and repeat. Allow at most three rounds.
 8. **Conflict.** Set `workflow:conflict`, then follow `resolving-merge-conflicts`. Inspect both intents, preserve them where possible, never invent behavior, never abort, rerun local checks, and update the PR/MR. If judgment is needed, assign the PR/MR and ticket to the configured human reviewer, apply `workflow:ready-for-human`, and comment the request in both places. If no human identity is configured, ask before assigning.
 9. **Merge.** Merge only after independent review is clean, local checks pass, forge CI is green, the target is still the expected default branch, and no human decision or blocker remains. Comment the merge receipt and outcome, close the ticket, apply `workflow:merged` when supported, verify integration, then remove the worktree.
 10. **Finish.** Report merged tickets and PR/MR URLs, human handoffs, blocked tickets, failed checks, review rounds, and remaining eligible tickets. Report `done` only when no open implementation or human tickets remain in the selected scope. If only human tickets remain, report `waiting-on-human`.
 Never parallel-write a shared checkout. Never silently relabel an existing human ticket. Never merge around a failed check, unresolved review finding, conflict, or missing decision.
@@ -1,5 +0,0 @@
 interface:
  display_name: "Implementation Orchestrator"
  short_description: "Implements ready-for-agent tracker tickets through isolated worktrees"
 policy:
  allow_implicit_invocation: false
@@ -1,26 +0,0 @@
 #!/usr/bin/env bash
 set -euo pipefail
 root="$(cd "$(dirname "${BASH_SOURCE[0]}")/../../../.." && pwd)"
 skill="$root/skills/engineering/implementation-orchestrator/SKILL.md"
 shared_skill="$root/skills/engineering/forge-cli/SKILL.md"
 recipes=(
 	"$root/skills/engineering/forge-cli/references/tea.md"
 	"$root/skills/engineering/forge-cli/references/gh.md"
 	"$root/skills/engineering/forge-cli/references/glab.md"
 )
 [[ -f "$skill" && -f "$shared_skill" && -f "${recipes[0]}" && -f "${recipes[1]}" && -f "${recipes[2]}" ]] || {
 	echo 'Missing skill or reference file' >&2
 	exit 1
 }
 head -1 "$skill" | grep -qx -- '---'
 grep -q '^name: implementation-orchestrator$' "$skill"
 grep -q '^description: ' "$skill"
 head -1 "$shared_skill" | grep -qx -- '---'
 grep -q '^name: forge-cli$' "$shared_skill"
 grep -q '^description: ' "$shared_skill"
 node -e 'JSON.parse(require("fs").readFileSync(process.argv[1], "utf8"))' "$root/package.json"
 bash -n "$root/skills/engineering/forge-cli/scripts/detect-forge.sh"
 printf '%s\n' 'implementation-orchestrator skill is valid'
@@ -1,123 +0,0 @@
 # HTML Report Format
 The architectural review is rendered as a single self-contained HTML file in the OS temp directory. Tailwind and Mermaid both come from CDNs. Mermaid handles graph-shaped diagrams reliably; hand-built divs and inline SVG handle the more editorial visuals (mass diagrams, cross-sections). Mix the two: don't lean on Mermaid for everything, it'll start to look generic.
 ## Scaffold
 ```html
 <!doctype html>
 <html lang="en">
  <head>
    <meta charset="utf-8" />
    <title>Architecture review for {{repo name}}</title>
    <script src="https://cdn.tailwindcss.com"></script>
    <script type="module">
      import mermaid from "https://cdn.jsdelivr.net/npm/mermaid@11/dist/mermaid.esm.min.mjs";
      mermaid.initialize({ startOnLoad: true, theme: "neutral", securityLevel: "loose" });
    </script>
    <style>
      /* small custom layer for things Tailwind doesn't cover cleanly:
         dashed seam lines, hand-drawn-feeling arrow heads, etc. */
      .seam { stroke-dasharray: 4 4; }
      .leak { stroke: #dc2626; }
      .deep { background: linear-gradient(135deg, #0f172a, #1e293b); }
    </style>
  </head>
  <body class="bg-stone-50 text-slate-900 font-sans">
    <main class="max-w-5xl mx-auto px-6 py-12 space-y-12">
      <header>...</header>
      <section id="candidates" class="space-y-10">...</section>
      <section id="top-recommendation">...</section>
    </main>
  </body>
 </html>
 ```
 ## Header
 Repo name, date, and a compact legend: solid box = module, dashed line = seam, red arrow = leakage, thick dark box = deep module. No introduction paragraph. Straight into the candidates.
 ## Candidate card
 The diagrams carry the weight. Prose is sparse, plain, and uses the glossary terms (from the `/codebase-design` skill) without ceremony.
 Each candidate is one `<article>`:
 - **Title**: short, names the deepening (e.g. "Collapse the Order intake pipeline").
 - **Badge row**: recommendation strength (`Strong` = emerald, `Worth exploring` = amber, `Speculative` = slate), plus a tag for the dependency category (`in-process`, `local-substitutable`, `ports & adapters`, `mock`).
 - **Files**: monospaced list, `font-mono text-sm`.
 - **Before / After diagram**: the centrepiece. Two columns, side by side. See patterns below.
 - **Problem**: one sentence. What hurts.
 - **Solution**: one sentence. What changes.
 - **Wins**: bullets, ≤6 words each. e.g. "Tests hit one interface", "Pricing logic stops leaking", "Delete 4 shallow wrappers".
 - **ADR callout** (if applicable): one line in an amber-tinted box.
 No paragraphs of explanation. If the diagram needs a paragraph to be understood, redraw the diagram.
 ## Diagram patterns
 Pick the pattern that fits the candidate. Mix them. Don't make every diagram look the same. Variety is part of the point.
 ### Mermaid graph (the workhorse for dependencies / call flow)
 Use a Mermaid `flowchart` or `graph` when the point is "X calls Y calls Z, and look at the mess." Wrap it in a Tailwind-styled card so it doesn't feel parachuted in. Style with classDef to colour leakage edges red and the deep module dark. Sequence diagrams work well for "before: 6 round-trips; after: 1."
 ```html
 <div class="rounded-lg border border-slate-200 bg-white p-4">
  <pre class="mermaid">
    flowchart LR
      A[OrderHandler] --> B[OrderValidator]
      B --> C[OrderRepo]
      C -.leak.-> D[PricingClient]
      classDef leak stroke:#dc2626,stroke-width:2px;
      class C,D leak
  </pre>
 </div>
 ```
 ### Hand-built boxes-and-arrows (when Mermaid's layout fights you)
 Modules as `<div>`s with borders and labels. Arrows as inline SVG `<line>` or `<path>` elements positioned absolutely over a relative container. Reach for this when you want the "after" diagram to feel like one thick-bordered deep module with greyed-out internals, since Mermaid won't render that with the right weight.
 ### Cross-section (good for layered shallowness)
 Stack horizontal bands (`h-12 border-l-4`) to show layers a call passes through. Before: 6 thin layers each doing nothing. After: 1 thick band labelled with the consolidated responsibility.
 ### Mass diagram (good for "interface as wide as implementation")
 Two rectangles per module: one for interface surface area, one for implementation. Before: interface rectangle is nearly as tall as the implementation rectangle (shallow). After: interface rectangle is short, implementation rectangle is tall (deep).
 ### Call-graph collapse
 Before: a tree of function calls rendered as nested boxes. After: the same tree collapsed into one box, with the now-internal calls shown faded inside it.
 ## Style guidance
 - Lean editorial, not corporate-dashboard. Generous whitespace. Serif optional for headings (`font-serif` works well with stone/slate).
 - Colour sparingly: one accent (emerald or indigo) plus red for leakage and amber for warnings.
 - Keep diagrams ~320px tall so before/after sits comfortably side by side without scrolling.
 - Use `text-xs uppercase tracking-wider` for module labels inside diagrams, so they read as schematic, not as UI.
 - The only scripts are the Tailwind CDN and the Mermaid ESM import. The report is otherwise static: no app code, no interactivity beyond Mermaid's own rendering.
 ## Top recommendation section
 One larger card. Candidate name, one sentence on why, anchor link to its card. That's it.
 ## Tone
 Plain English, concise, but the architectural nouns and verbs come straight from the `/codebase-design` skill. Concision is not an excuse to drift.
 **Use exactly:** module, interface, implementation, depth, deep, shallow, seam, adapter, leverage, locality.
 **Never substitute:** component, service, unit (for module) · API, signature (for interface) · boundary (for seam) · layer, wrapper (for module, when you mean module).
 **Phrasings that fit the style:**
 - "Order intake module is shallow: interface nearly matches the implementation."
 - "Pricing leaks across the seam."
 - "Deepen: one interface, one place to test."
 - "Two adapters justify the seam: HTTP in prod, in-memory in tests."
 **Wins bullets** name the gain in glossary terms: *"locality: bugs concentrate in one module"*, *"leverage: one interface, N call sites"*, *"interface shrinks; implementation absorbs the wrappers"*. Don't write *"easier to maintain"* or *"cleaner code"*, because those terms aren't in the glossary and don't earn their place.
 No hedging, no throat-clearing, no "it's worth noting that…". If a sentence could be a bullet, make it a bullet. If a bullet could be cut, cut it. If a term isn't in the `/codebase-design` glossary, reach for one that is before inventing a new one.
@@ -1,71 +0,0 @@
 ---
 name: improve-codebase-architecture
 description: Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
 disable-model-invocation: true
 ---
 # Improve Codebase Architecture
 Surface architectural friction and propose **deepening opportunities**: refactors that turn shallow modules into deep ones. The aim is testability and AI-navigability.
 This command is _informed_ by the project's domain model and built on a shared design vocabulary:
 - Call the Skill tool with "codebase-design" for the architecture vocabulary (**module**, **interface**, **depth**, **seam**, **adapter**, **leverage**, **locality**) and its principles (the deletion test, "the interface is the test surface", "one adapter = hypothetical seam, two = real"). Use these terms exactly in every suggestion, and don't drift into "component," "service," "API," or "boundary."
 - The domain language in `CONTEXT.md` gives names to good seams; ADRs in `docs/adr/` record decisions this command should not re-litigate.
 ## Process
 ### 1. Explore
 **Scope before you scan: YAGNI.** Deepening a module pays off by making future changes to it easier, so put extra weight on the parts of the codebase that have recently changed. Decide *where* to look before you look:
 - If the user named a direction (a module, a subsystem, a pain point), take it, and skip the inference below.
 - Otherwise, walk back a good stretch of the commit history (`git log --oneline`) to find the codebase's hot spots, the files and areas that keep coming up, and let those paths pull your attention first. If the changes are scattered with no clear hot spot, widen the net.
 Read the project's domain glossary (`CONTEXT.md`) and any ADRs in the area you're touching first.
 Then spawn a sub-agent to walk the codebase. Don't follow rigid heuristics; explore organically and note where you experience friction:
 - Where does understanding one concept require bouncing between many small modules?
 - Where are modules **shallow**, with an interface nearly as complex as the implementation?
 - Where have pure functions been extracted just for testability, but the real bugs hide in how they're called (no **locality**)?
 - Where do tightly-coupled modules leak across their seams?
 - Which parts of the codebase are untested, or hard to test through their current interface?
 Apply the **deletion test** to anything you suspect is shallow: would deleting it concentrate complexity, or just move it? A "yes, concentrates" is the signal you want.
 ### 2. Present candidates as an HTML report
 Write a self-contained HTML file to the OS temp directory so nothing lands in the repo. Resolve the temp dir from `$TMPDIR`, falling back to `/tmp` (or `%TEMP%` on Windows), and write to `<tmpdir>/architecture-review-<timestamp>.html` so each run gets a fresh file. Open it for the user (`xdg-open <path>` on Linux, `open <path>` on macOS, `start <path>` on Windows) and tell them the absolute path.
 The report uses **Tailwind via CDN** for layout and styling, and **Mermaid via CDN** for diagrams where a graph/flow/sequence reliably communicates the structure. Mix Mermaid with hand-crafted CSS/SVG visuals: use Mermaid when relationships are graph-shaped (call graphs, dependencies, sequences), and hand-built divs/SVG when you want something more editorial (mass diagrams, cross-sections, collapse animations). Each candidate gets a **before/after visualisation**. Be visual.
 For each candidate, render a card with:
 - **Files**: which files/modules are involved
 - **Problem**: why the current architecture is causing friction
 - **Solution**: plain English description of what would change
 - **Benefits**: explained in terms of locality and leverage, and how tests would improve
 - **Before / After diagram**: side-by-side, custom-drawn, illustrating the shallowness and the deepening
 - **Recommendation strength**: one of `Strong`, `Worth exploring`, `Speculative`, rendered as a badge
 End the report with a **Top recommendation** section: which candidate you'd tackle first and why.
 **Use CONTEXT.md vocabulary for the domain, and the `/codebase-design` vocabulary for the architecture.** If `CONTEXT.md` defines "Order," talk about "the Order intake module," not "the FooBarHandler," and not "the Order service."
 **ADR conflicts**: if a candidate contradicts an existing ADR, only surface it when the friction is real enough to warrant revisiting the ADR. Mark it clearly in the card (e.g. a warning callout: _"contradicts ADR-0007, but worth reopening because…"_). Don't list every theoretical refactor an ADR forbids.
 See [HTML-REPORT.md](HTML-REPORT.md) for the full HTML scaffold, diagram patterns, and styling guidance.
 Do NOT propose interfaces yet. After the file is written, ask the user: "Which of these would you like to explore?"
 ### 3. Grilling loop
 Once the user picks a candidate, call the Skill tool with "grilling" to walk the decision tree with them: constraints, dependencies, the shape of the deepened module, what sits behind the seam, what tests survive.
 Side effects happen inline as decisions crystallize; call the Skill tool with "domain-modeling" to keep the domain model current as you go:
 - **Naming a deepened module after a concept not in `CONTEXT.md`?** Add the term to `CONTEXT.md`. Create the file lazily if it doesn't exist.
 - **Sharpening a fuzzy term during the conversation?** Update `CONTEXT.md` right there.
 - **User rejects the candidate with a load-bearing reason?** Offer an ADR, framed as: _"Want me to record this as an ADR so future architecture reviews don't re-suggest it?"_ Only offer when the reason would actually be needed by a future explorer to avoid re-suggesting the same thing; skip ephemeral reasons ("not worth it right now") and self-evident ones.
 - **Want to explore alternative interfaces for the deepened module?** Call the Skill tool with "codebase-design" and use its design-it-twice parallel sub-agent pattern.
@@ -1,5 +0,0 @@
 interface:
  display_name: "Improve Codebase Architecture"
  short_description: "Find and grill architecture improvements"
 policy:
  allow_implicit_invocation: false
@@ -1,35 +0,0 @@
 ---
 name: orchestrate-herdr
 description: "Implement a published spec ticket using Herdr and Pi agents. Use with /skill:orchestrate-herdr <spec-ticket> [worker], such as /skill:orchestrate-herdr 32 obelix; omitted worker uses the current local worker."
 disable-model-invocation: true
 ---
 # Orchestrate a spec with Herdr
 Invocation requires `<spec-ticket>` and optionally accepts `[worker]`. Example: `/skill:orchestrate-herdr 32 obelix`. If the worker is omitted or blank, use the current local worker; otherwise resolve it against `herdr machine list`. Always start a fresh agent for this invocation and for each dispatched task; never reuse or resume an existing agent. The selected worker owns execution and persisted run state.
 **Start by reading the spec ticket and its linked tickets.** Follow the `implement-spec` flow: understand the task graph, create one integration branch, implement ready tickets in isolated worktrees, merge completed work onto the integration branch, and continue as the frontier advances. If there are no linked implementation tickets forming an actionable frontier, invoke `/to-tickets` and follow its approval and publishing process; otherwise, don't create or rewrite tickets.
 This skill is a routing and safety contract. Read the relevant reference before acting:
 - `references/dispatcher.md` — validate the named worker and discover the exact Herdr session and pane.
 - `references/run-loop.md` — spec-first, integration-branch implementation flow.
 - `references/state.md` — persisted state, recovery, cross-system sync, and cleanup.
 ## Prerequisites and roles
 The selected worker must have this skill, Herdr, Pi, Git, the target repository and credentials, and an authenticated forge CLI (`tea`, `gh`, or `glab`). Run the `forge-cli` preflight there. If anything is missing or ambiguous, stop with actionable guidance; do not guess or dispatch. Start a fresh agent in a newly created pane; do not route work to an existing agent.
 - **Orchestrator** invokes and observes the workflow.
 - **Worker node** is the named machine and source of truth for run state.
 - **Planner** coordinates and verifies; it does not edit product code or merge.
 - **Implementer/merger agents** work only in assigned scopes; no worker merges unless assigned the merger task.
 ## Run and finish
 1. Validate the spec ticket and optional worker. Read the spec, all associated tickets, and relevant comments before creating agents or branches.
 2. Follow `references/run-loop.md`; keep all work within the spec and linked tickets. Preserve state and evidence on blockers, failures, or human decisions.
 3. On restart, follow `references/state.md` and reconcile worker-side state before resuming; never duplicate work because the planner restarted.
 4. At completion, clean only clean implementer worktrees and run-owned Herdr panes. Retain state unless the user explicitly asks to delete it.
 Report the integration branch or PR, completed tickets, verification/review evidence, blockers, human handoffs, and remaining work. Say `done` only when all tickets are complete and the final review has passed.
@@ -1,5 +0,0 @@
 interface:
  display_name: "Orchestrate plans to merged PRs with Herdr"
  short_description: "Drive planned work from context through tickets to a merged PR"
 policy:
  allow_implicit_invocation: false
@@ -1,26 +0,0 @@
 # Dispatcher: resolve the worker and start fresh
 Invocation is `/skill:orchestrate-herdr <spec-ticket> [worker]` (for example, `/skill:orchestrate-herdr 32 obelix`). The spec ticket is required; the worker is optional. If the worker is omitted or blank, use the current local worker and spawn the agent there. If a worker is named, resolve it from `herdr machine list`; if it is missing or ambiguous, stop and ask. Do not silently select a different worker.
 Always start a **new agent** for this orchestration and each dispatched task. Never reuse or resume an existing agent, even if one appears idle or already in the right repository.
 ## Validate the target
 1. For a named worker, run `herdr machine list` and match it to an available saved machine. Use that exact label or ID with `herdr --machine <worker> ...`; do not treat arbitrary SSH hostnames as valid machine selectors. For the default local worker, stay on the current worker and spawn the agent locally.
 2. For a named worker, confirm the machine is reachable; for the default local worker, inspect the current local Herdr session. In either case, inspect workspaces, panes, and agents. Discover the target repository and ref; do not guess pane IDs, repo paths, or agent kinds.
 3. Confirm the spec ticket exists on the target repository's tracker and is the parent/spec ticket. The new planner must read the spec, linked tickets, and relevant comments before creating work.
 4. Confirm the target has this skill, Pi, Git, repository credentials, and an authenticated forge CLI (run the `forge-cli` preflight). Stop with actionable guidance if not.
 Run `herdr --skill` to discover the installed Herdr skills and follow the relevant skill for CLI workflows; use CLI help for exact command syntax. Machine commands require a configured, enabled machine profile and a reachable, API-compatible Herdr server. A connection failure does not prove a mutation failed; inspect remote state before retrying.
 ## Start a new planner
 Choose a pane in the target repository only as the source for creating a **new sibling pane**. Do not send work to any existing agent pane. Create the new pane with the confirmed repository working directory, read its returned pane ID, then start a fresh Pi agent there using the installed agent kind. If there is no suitable source pane or no available shell in the new pane, stop rather than commandeering an unrelated pane.
 Submit the exact invocation to that new agent, using the spec ticket and resolved worker (omit the worker when using the current local worker):
 ```text
 /skill:orchestrate-herdr <spec-ticket> [worker]
 ```
 Confirm the fresh agent reaches `working` before reporting kickoff success. If startup or submission is uncertain, inspect that new pane/agent before retrying; do not create a duplicate agent blindly. Once the planner is working, report the worker, spec ticket, and new agent/pane, then stop monitoring the full workflow.
@@ -1,45 +0,0 @@
 # Run loop: implement a spec ticket
 The spec and its linked tickets define scope; the tracker is source of truth. Begin by reading the spec ticket, every associated ticket, blockers, and relevant comments. If the spec has no linked implementation tickets forming an actionable frontier, invoke `/to-tickets` and follow its approval and publishing process before implementation. If existing tickets are blocked, don't invent additional work.
 The issue tracker should have been provided to you. If not, tell the user to run `/setup-skills`.
 The goal is the entire spec implemented on a single **integration branch**, with every ticket resolved the way the issue tracker closes work.
 The tickets are not a list of steps. They are a **task graph** with blocking relationships between them. This means there is always a **frontier** of tickets which are ready to be grabbed.
 Communication to and from subagents should be sparse. Communicate primarily through **context pointers**: to the spec, tickets, research notes, and previous commits. Don't duplicate information already available via pointers.
 ## 1. Read and establish the integration branch
 - Confirm the supplied ticket is the spec/parent ticket and identify its linked implementation tickets.
 - Understand the ticket graph and its current frontier. Re-query tracker state as work advances.
 - When tickets require codebase or external-documentation exploration, dispatch an exploration subagent before implementation. Have it save concise Markdown notes outside the repo in a directory accessible to all future subagents; pass those notes as context pointers to implementers.
 - Create one integration branch from the intended target branch. If a PR is required, open a draft after the first implementation merge and link it to close the spec and tickets.
 - If a ticket or its dependencies are ambiguous, stop and ask rather than inferring.
 ## 2. Implement the frontier
 For each open, unblocked ticket, start a **new implementer subagents** in its own worktree and branch. Independent frontier tickets may run concurrently; never parallel-write a shared checkout. Start a fresh merger agent for each merge as well.
 Each implementer gets the full ticket and acceptance criteria, relevant context pointers, scope boundaries, worktree path, and starting branch. Require the implementer to:
 - confirm its worktree starts from the current integration branch (reset/rebase onto it if needed);
 - use the `tdd` skill and run focused checks;
 - commit its ticket work on its task branch;
 - merge the latest integration branch into its task branch before reporting done;
 - report changed files, commit, checks, and any blockers; do not merge to the integration branch or open a PR.
 When an implementer finishes, have a **new independent reviewer agent** run the `code-review` skill against that task branch, using the current integration branch as the base. Resolve all actionable findings in a fresh scoped fix agent and rerun the review until clear. Only then use a fresh merger agent to merge the task branch into the integration branch. Verify the merge and update tracker state before dispatching newly unblocked tickets. Reconcile uncertain Git or tracker outcomes before retrying.
 ## 3. Final review and completion
 After all tickets are implemented and merged, run `code-review` against the entire integration branch as a final integration review. Have a fresh implementer fix all actionable findings in a scoped worktree; merge the fixes and rerun review until clear. Do not report completion until this review is clear and final checks pass; do not merge around unresolved findings or failed checks.
 If a draft PR exists, mark it ready for review after final checks. Otherwise, resolve each ticket according to the tracker's close semantics and report the integration branch. Close the parent spec ticket only when all work is complete, verified, and merged. Clean up implementer worktrees only after confirming they are clean; retain unresolved work.
 ## Retry and escalation rules
 - Retry transient infrastructure failures at most twice after the first attempt. Never blindly retry semantic failures, failed checks, or rejected reviews.
 - If an operation's outcome is uncertain, reconcile tracker, Git, worker, and Herdr state before repeating it.
 - Stop and preserve state/evidence for auth or permission failures, unresolved state mismatches, exhausted retries, ambiguity, or decisions requiring human judgment.
@@ -1,48 +0,0 @@
 # State, recovery, and cleanup
 Run state lives under a run-scoped `.orchestrate/<slug>` directory in the worker node's repository checkout. The worker node is the source of truth. Keep this state out of product commits and PRs.
 ## State directory
 Create `.orchestrate/<slug>/` on the worker node:
 - `plan.json` — the original goal, repo path/URL, base ref, acceptance criteria, and task definitions (name, type, scoped goal, dependencies, path boundaries, acceptance, verification recipe, retry cap).
 - `state.json` — each task's status, attempt count, worktree path, branch, Herdr session/workspace/pane IDs, and handoff path.
 - `handoffs/<task>.md` — each agent's final response, saved verbatim with task, branch, and execution metadata.
 - `recovery.log` — spawns, recovery, reconciliation, and operator decisions.
 Use kebab-case task names. Validate that dependencies and verifier targets exist and that the dependency graph has no cycles before starting work.
 ## Persist immediately
 Persist state immediately after every side effect and record enough Herdr, branch, worktree, and task identity to reconcile execution after interruption. On restart, inspect persisted state and native Herdr status before creating or restarting agents. Never duplicate work solely because a planner session restarted.
 A new orchestrator system reconnects to the worker node and syncs from it before resuming; a local copy is not authoritative. Do not create a separate Git branch solely to transfer this state.
 ## Recovery
 On restart, in order:
 1. Read `plan.json`, `state.json`, and `handoffs/`.
 2. Discover native Herdr state and reconcile stored IDs with what Herdr actually reports.
 3. Reconcile tracker and Git state.
 4. Reattach to running agents; never duplicate a task just because the session restarted.
 If reconciliation cannot resolve a state mismatch, stop and escalate rather than guessing.
 ## Handoffs
 Handoffs are the only information channel between workers and planners. Save each final response verbatim; add a short metadata comment above it with task, branch, worktree, and Herdr identifiers. Do not paraphrase the evidence.
 - **Worker** — status (`success`/`partial`/`blocked`), actual branch, what it did, acceptance with evidence, verification tier, commands run, concerns, suggested follow-ups. A worker commits to its task branch and does not merge/rebase/open a PR unless the task requires it. Do not accept `success` if stated acceptance is unmet or evidence is absent.
 - **Verifier** — verification tier, target, execution, findings per criterion (met/not met/n/a) with severity, and environment limits. `verifier-blocked` means the environment prevented a meaningful check; `verifier-failed` means the check ran and the target did not pass. Do not downgrade a failure to a blocked verdict.
 - **Planner** — an aggregated handoff to the parent: status, actual deliverable branch, one bullet per meaningful slice, strongest evidence actually produced, risks, and parent-scope follow-ups.
 ## Cleanup
 At completion, remove only what this run owns and leave everything else untouched.
 - **Remove** clean task worktrees (via `git worktree remove`, after accounting for every staged, unstaged, and untracked change) and close only Herdr panes created by this run.
 - **Preserve** dirty or unresolved worktrees — cleanup cannot destroy unfinished work or recovery evidence.
 - **Retain** the worker node's canonical checkout, `.orchestrate/<slug>` state, handoffs, and logs. Never delete retained state automatically. Cleanup of retained state requires an explicit user action.
 - Leave unrelated Herdr panes, tickets, repositories, branches, and PRs untouched.
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