curate

Solid

Use when the user says "curate", "audit docs", or wants to review the docs/ knowledge base for stale links, encyclopedia bloat, naming drift, and missing indexes — the docs/ counterpart to /agent-docs:remember

AI & Automation 1 stars 0 forks Updated yesterday MIT

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Quality Score: 80/100

Stars 20%
10
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

> **Manual-trigger skill.** `disable-model-invocation: true` keeps the model from > running docs audits automatically mid-task. When installed from this plugin, > invoke it deliberately as `/agent-docs:curate` when you want to clean up the > docs/ tree. Do not add hooks, background tasks, auto-trigger behavior, runtime > storage, vector databases, MCP integration, or external memory systems. Review the `docs/` knowledge base and produce a structured `Docs Health Report` using the workflow below. ## What this does This is the complement to `/agent-docs:remember`: - `/agent-docs:learn` proposes verified knowledge additions to `AGENTS.md` or `docs/`. - `/agent-docs:remember` audits `AGENTS.md` memory surfaces (prompt-resident). - `/agent-docs:curate` audits the `docs/` knowledge base (pull-based). The economics differ and so do the rubrics. `AGENTS.md` pays per prompt line, so `remember` uses a high value threshold. `docs/` is read on demand and may legitimately be longer or more detailed, so `curate` judges **navigability, link integrity, structure, and drift** — not brevity for its own sake. Derivability alone never makes useful documentation invalid. Read and apply the shared [Knowledge Admission Policy](../../references/knowledge-admission.md) and [Documentation Structure Reference](../../references/doc-structure.md). Do not invoke `learn`; all knowledge workflows independently use the shared policy. **Scope guard — `docs/` only, never `AGENTS.md`.** Audit files und...

Details

Author
gzb1128
Repository
gzb1128/skill-forge
Created
2 months ago
Last Updated
yesterday
Language
Python
License
MIT

Integrates with

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tune-agent-docs

Reviews every markdown file in a repository that steers an AI coding agent — CLAUDE.md, AGENTS.md, GEMINI.md, `.cursor/rules/*.mdc`, `.clinerules`, `.windsurfrules`/`.windsurf/rules`, `.github/copilot-instructions.md`, Kiro's `.kiro/steering/*.md`, and similar — together as one corpus, then tightens them. Use whenever the user wants to audit, tune, reconcile, or clean up the instructions a repo gives its AI agents, or asks why an agent keeps missing or contradicting its own steering docs, or burning tokens on them — even when they only name one file, since the value is in reading it alongside its neighbors. Checks consistent terminology, leading-word front-loading, and each doc's token budget — size against its own format's stated limits, content loaded unconditionally that the harness could scope instead, guidance duplicated across multiple docs — applies the repo's own doc-authoring conventions where they hold generally, and calibrates each instruction's degrees of freedom to the fragility of what it govern

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