enhance-docs
FeaturedUse when improving documentation structure, accuracy, and RAG readiness.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- agent-sh
- Repository
- agent-sh/agentsys
- Created
- 8 months ago
- Last Updated
- yesterday
- Language
- JavaScript
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
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enhance-agent-prompts
Use when improving agent prompts, frontmatter, and tool restrictions.
docs
Authors, audits, and maintains project documentation across CLAUDE.md / .claude/rules/, AGENTS.md, README.md, and Diátaxis docs/ trees (root + nested for monorepos). Four modes: init scaffolds a tiered docs setup from scratch; update detects drift (dead @imports, renamed commands, stale narrative) and incrementally refreshes via a Placement Resolver that pushes rules to the innermost-ancestor destination; readme writes or audits a README against the standard-readme spec; audit produces a documentation health report across every surface. Routes by kind: hard rules to CLAUDE.md, path-scoped patterns to .claude/rules/, narrative to docs/, marketing to README.md. Triggers on "init claude", "bootstrap docs", "scaffold CLAUDE.md", "update docs", "sync CLAUDE.md", "docs drift", "write a README", "audit our docs", "review the README", "Diátaxis", "/docs".
humanify-docs
Write Markdown docs that read like a person wrote them, or rewrite AI-generated docs so they do — short sections, lists and tables where they help, minimal formatting, no code unless the doc is genuinely technical. For a broad topic (a codebase overview, how a system works end-to-end) it researches with a small, budgeted set of subagents and writes the doc itself. Updating an existing doc keeps its style by default and only adds what was asked. Use when: "humanify this doc", "/humanify-docs", "make this README readable", "write docs for X", "this doc reads like AI, fix it", "document how Y works", "add X to the docs", "update the docs for Y", "write a README for this project", or the user hands over a Markdown file and wants it human-friendly. Every rule here yields to what the user asks for.