qa-docs-coverage
SolidAudit and enforce doc quality. Use when checking coverage, freshness, runbook validity, or cleaning stale/duplicate markdown after LLM edits.
Install
Quality Score: 83/100
Skill Content
Details
- Author
- vasilyu1983
- Repository
- vasilyu1983/AI-Agents-public
- Created
- 9 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
doc-accuracy
Multi-phase documentation verification treating code as source of truth. Use when you say "check documentation accuracy", "verify code examples compile", "audit docs vs code", "check doc consistency", or "run doc-accuracy". Use for pre-release doc audits and checking behavioral claims. Do NOT use for broad codebase analysis (use analyze) or fixing markdown fence syntax (use fix-markdown-fences).
docs-architect
Audit the information architecture of a documentation set against what developers and AI assistants actually need, and report what is missing. Maps existing pages to a reference model, finds gaps and orphans, checks whether code examples run, and evaluates machine readability including llms.txt and clean-markdown access. Optionally drafts the missing quickstart. Works on a docs directory, a documentation site, or a repository README. Use when asked to review or restructure documentation, to find documentation gaps, to make docs AI-readable or agent-readable, or when docs exist but developers still cannot find what they need.
audit
Audit existing project documentation for quality, completeness, consistency, and code alignment. Scans docs against the actual codebase to find stale references, missing coverage, internal contradictions, and quality issues. Generates a structured findings report with severity levels and actionable fix recommendations. Works on any project with a docs/ directory.