Generate marketing-quality repository documentation from codebase analysis. Scans 10 signal categories, extracts features with file-level evidence, and produces README, CHANGELOG, ROADMAP, and 15+ more docs. Zero runtime dependencies. For AI context file management, see ContextDocs.
Systematic codebase scanning for features and evidence-based feature-to-benefit translation. Extracts what a project does from its code and translates it into what users gain — generates features and benefits sections, "Why [Project]?" content, and feature audit reports. Use when writing a features table for a README, extracting features from code, auditing feature coverage, or answering "why should someone use this project?".
Orchestrates documentation updates after version bumps, feature additions, or periodic maintenance. Analyses git history since the last release, identifies which docs are affected, and delegates to existing skills (changelog, feature-benefits, docs-verify, llms-txt, user-guides) for selective refresh. Delegates AI context updates to ContextDocs if installed. Use when releasing a new version or refreshing stale docs.
Validates documentation quality and freshness — checks for broken links, stale content, llms.txt sync, image issues, heading hierarchy, and badge URLs. Runs locally or in CI. Use to catch documentation decay before it reaches users.
Generates READMEs with the Daytona/Banesullivan marketing framework — hero section, benefit-driven features, quickstart, comparison tables, and compelling CTAs. Produces docs that sell as well as they inform. Use when creating or overhauling a project README.
Generates ROADMAP.md from project milestones, issues, and boards (GitHub, GitLab, or Bitbucket). Structures content with mission statement, current milestone progress, upcoming milestones, and community involvement section. Use when creating or updating a project roadmap.
Generates task-oriented user guides and how-to documentation for a repository. Creates docs/guides/ with step-by-step instructions for common workflows, integrations, and advanced usage. Links guides into README.md and CONTRIBUTING.md. Use when a project needs user-facing how-to documentation beyond the README quickstart.
Documentation guidance for projects published to npm and PyPI package registries. Covers metadata fields that affect registry pages, README cross-renderer compatibility, trusted publishing, provenance badges, and audit checks. Use when a project has package.json or pyproject.toml and is published publicly.