By dgalarza
Score your codebase's agent readiness across 8 dimensions using parallel AI agents to get a weighted 0-100 score, band rating, and actionable improvement roadmap based on Stripe AI benchmarks. Analyze Ruby, Python, PHP, TypeScript, JavaScript, or Go projects in one workflow.
npx claudepluginhub dgalarza/claude-code-workflows --plugin codebase-readinessA collection of skills, agents, and workflows for Claude Code.
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Via npx (skills only):
npx skills add dgalarza/claude-code-workflows --skill "tdd-workflow"
Via Claude marketplace (skills, agents, bundles):
/plugin marketplace add dgalarza/claude-code-workflows
/plugin install tdd-workflow@dgalarza-workflows
See INSTALL.md for full details.
Does your codebase support AI agent work — or fight against it?
The Codebase Readiness plugin scores your repo across 8 dimensions (0-100) and tells you exactly where you stand — framed against teams shipping 1,000+ AI-generated PRs per week.
/plugin install codebase-readiness@dgalarza-workflows
/codebase-readiness
You get a band rating (Agent-Ready → Not Agent-Ready), a concrete improvement roadmap, and an optional saved report to share with your team. Not opinions — evidence gathered from your actual codebase.
Once you have your score, the agent-ready plugin fixes the documentation gaps automatically: CLAUDE.md, ARCHITECTURE.md, and docs/ structure following progressive disclosure patterns.
Learn more → | See the full assessment details | Get the Agent-Ready Codebase Playbook | Want help improving your score?
| Skill | Description |
|---|---|
| Codebase Readiness | Score your repo's readiness for autonomous AI agent work |
| Agent Ready | Fix documentation gaps: scaffold CLAUDE.md, ARCHITECTURE.md, and docs/ |
| TDD Workflow | Test-driven development, one test at a time |
| Conventional Commits | Structured commit messages |
| Parallel Code Review | Multi-agent code reviews |
| Meeting Transcript | Process transcripts into structured notes |
| Gridfinity Planner | 3D printing baseplate planning |
| Agent | Description |
|---|---|
| Cybersecurity Reviewer | Security analysis and threat modeling |
| Bundle | Description |
|---|---|
| Rails Toolkit | Complete Rails workflow with TDD, reviews, Linear integration |
If this helped you, give it a star — it helps others find it.
| Tip | Description |
|---|---|
| Use Worktrees for Parallel Agents | Run multiple Claude Code agents on the same codebase without conflicts |
| Customize Your Status Bar | Configure the status bar to show model, tokens, and more |
| Compact Context Proactively | Keep Claude effective by compacting at the right times |
| Structure Your CLAUDE.md Files | Give Claude the project context it needs |
| Use Subagents for Focused Tasks | Spawn specialized subagents for reviews, research, and more |
| MCP Servers Worth Installing | Linear, Memory, and Sentry integrations |
| Plugins Worth Installing | Claudit configuration auditor and more |
| Skills Worth Installing | Frontend Design, Remotion video creation, and more |
Found a bug? Have a workflow to share? PRs welcome.
MIT
Built by Damian Galarza - Former CTO, 15+ years in software. I make videos about Claude Code and AI development workflows.
Share bugs, ideas, or general feedback.
Audit codebase documentation for accuracy, completeness, and freshness against actual code. Auto-fixes small discrepancies, reports structural changes. Companion to agent-ready.
Check how well your repo supports AI coding agents.
Task-focused agents for test, review, debug, docs, CI, security, refactoring, research, performance, and search-replace — with teammate and subagent role guidance
AI-agent readiness auditing for project documentation and workflows. Evaluates whether future Claude Code sessions can understand docs, execute workflows literally, and resume work effectively. Use when onboarding AI agents to a project or ensuring context continuity. Includes three specialized agents: context-auditor (AI-readability), workflow-validator (process executability), handoff-checker (session continuity). Use PROACTIVELY before handing off projects to other AI sessions or team members
SDLC enforcement for AI agents — TDD, planning, self-review, CI shepherd