Summary
Consolidates documentation sprawl in repos where LLMs have generated drafts, research notes, and overlapping specs. The workflow is surgical: inventory every doc, mark lifecycle metadata (draft/canonical/integrated/superseded), merge duplicates into one canonical source per topic, then delete integrated files on schedule. Includes templates for READMEs, ADRs, API docs, and changelogs. The standout insight is treating stale docs as agent bugs, since outdated information causes AI assistants to reimplement existing features or fix already-solved problems. Best for teams drowning in AI-generated documentation that needs authoritative pruning without losing useful content to git history alone.
Install to Claude Code
npx -y skills add vasilyu1983/ai-agents-public --skill docs-codebase --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
