What problem does it solve? Keeping project documentation accurate and consistent is tedious: READMEs go stale, changelogs get skipped, and AI agents lack the context files they need to work effectively. This Skill standardizes the creation and maintenance of professional documentation for both humans and AI agents. ## Core Features & Use Cases - Template-Based Generation: Creates README.md, CHANGELOG.md, AGENTS.md, and CONTRIBUTING.md from standardized templates following Keep a Changelog and Conventional Commits. - Agent Knowledge Base: Builds and audits a .knowledge/ directory (README, architecture, conventions) that serves as the single source of truth for AI agent context. - Project Analysis: Scans package.json, folder structure, and existing markdown to keep documentation aligned with the actual codebase. - Use Case: After finishing a feature, ask the Skill to update CHANGELOG.md under [Unreleased] and refresh .knowledge/architecture.md to reflect the new module you added. ## Quick Start Ask the assistant to initialize the project documentation by generating a README, AGENTS.md, and .knowledge/ base from the current codebase.