What problem does it solve? Technical documentation often looks complete but fails in practice: missing prerequisites, no verification steps, mixed document types, and invented details. This Skill turns scattered repo knowledge, existing drafts, and product information into executable, maintainable documentation that readers can actually follow. ## Core Features & Use Cases - Document type routing: Classifies each document as tutorial, how-to, reference, or explanation using Diataxis before drafting, preventing mixed-purpose documents. - Evidence-driven drafting: Inventories repos, existing docs, CLI help, config files, and official sources before writing, and marks unverifiable claims as assumptions or open gaps. - Quality auditing: Ships a deterministic Python script (doc_quality_audit.py) plus checklists to verify structure, executability, and completeness for READMEs, runbooks, migration guides, and API docs. - Use Case: Ask it to build an onboarding README from a repo, rewrite a confusing API usage guide with version scope and error examples, or run a docs gap analysis that outputs a prioritized documentation map. ## Quick Start Ask the assistant to write a README and Quick Start for your repository, including prerequisites, setup steps, verification, and troubleshooting.