- Add compiled wiki maintenance, retrieval lint, and packet promotion steps to knowledge-gardener skill - Restructure research-vault workflow with source ingest, answer filing, and pre-completion lint pass - Add Log.md for tracking ingest, queries, and corrections - Enhance Claims template with provenance, supports/contradicts, and confidence tracking - Add Compiled Pages table and Raw Source Rules to packet template - Enhance atomic notes with frontmatter, promotion status, and structured links - Distinguish source claims, synthesis, user opinions, and open questions throughout This implements a Karpathy-style compiled wiki approach where raw sources stay immutable, packet notes are the maintained synthesis layer, and reusable notes can be promoted to the main vault.
Common Skills
Skills that work in all CLI agents.
User-invoked
- conversation-summary — Summarize the current AI conversation into a new Obsidian markdown note and matching transcript file.
- crit — Brainstorm with AI using the CRIT framework to generate and evaluate ideas.
- grill-me — A relentless interview to sharpen a plan or design.
- handoff — Compact the current conversation into a handoff document for another agent to pick up.
- knowledge-gardener — Run vault-aware semantic search, synthesis, note creation, linking, and Zettelkasten workflows for this Obsidian vault.
- pkm-curation — Curate an Obsidian-style personal knowledge vault.
- research-vault — Research a topic through a one-question-at-a-time learning conversation and save a linked Obsidian research packet.
- writing-great-skills — Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.
Model-invoked
- audio-product-dsp — Dispatch audio product DSP hardware/software engineering requests to the best specialist workflow with measurable product-focused outputs.
- forge-interaction — Work safely with GitHub and Gitea repositories, issues, pull requests, releases, and remote forge state.
- forge-preferences — Apply Steve's personal or project-specific GitHub/Gitea forge preferences.
- grilling — Interview the user relentlessly about a plan or design.
- project-context-pack — Build and refresh a bounded repo context memory file so agents use disciplined search instead of repeated browsing.
- research-engineering — Route DSP hardware and software research-engineering requests to the best specialist workflow and return a unified, decision-ready output.