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By Sungmin-Cho
Document gardening agent — validates freshness and auto-repairs CLAUDE.md, AGENTS.md, and project docs
npx claudepluginhub sungmin-cho/claude-deep-suite --plugin deep-docsUses power tools
Uses Bash, Write, or Edit tools
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Audit codebase documentation for accuracy, completeness, and freshness against actual code. Auto-fixes small discrepancies, reports structural changes. Companion to agent-ready.
Documentation and authoring workflow router: audit docs vs code drift, sync docs after changes, optimize prompts and SKILL.md files, validate GLFM and Markdown formatting, summarize files/URLs/images with fidelity enforcement. Use when: docs are out of date, CLAUDE.md needs improving, SKILL.md needs optimizing, checking if documentation matches code, summarizing files or URLs.
Personal Claude Code + Codex dev stack: security hooks, AI-first code conventions, /security-review, /repo-map, /stack-check, portable statusline. Designed to complement other skills-based plugins, not replace them.
Check how well your repo supports AI coding agents.
Documentation quality, generation, and improvement using Diataxis principles. Pairs with beagle-core for full workflow.
Generate and maintain documentation from code with drift detection. Validates docs against source, auto-generates from code patterns, syncs outdated content, and provides reusable templates for consistent documentation.
Evidence-Driven Development Protocol — 24 command-equivalent skill surfaces plus a skill-native deep-work entry alias (cross-platform: Claude Code skills + Codex / Copilot CLI / Gemini CLI / SDK), 3-layer architecture with Skill-based phase dispatch, computational enforcement (worktree guard + phase transition injection), TDD enforcement, and receipt validation
Autonomous Experimentation Protocol — goal-driven experiment loops that systematically improve any project through measured code modifications
LLM-managed markdown wiki for persistent knowledge accumulation — based on Karpathy's LLM Wiki philosophy. 5 skill-based entry surfaces (cross-platform: Claude Code slash + Codex/Copilot CLI/Gemini CLI/SDK via Skill()).
Independent Evaluator for AI coding agents — cross-model code review with Codex integration
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