ACMM-based AI workflow toolkit with evaluations, recommended tool stack, and skills for setup, audit, and tool evaluation
Audit your current AI tool setup against the recommended ACMM workflow and identify gaps
Evaluate an AI tool, skill, or plugin against the catalog and ACMM framework before adopting it
Bootstrap the recommended AI workflow in any repo — checks what's installed, creates CLAUDE.md with quality rules, and identifies gaps
Find GitHub starred repos not in CATALOG.md and generate catalog entries for them
Sync the AI tooling catalog with current GitHub stars and locally installed tools
Inventory and evaluation of AI tools, skills, agents, frameworks, harnesses, and workflows for building an ideal AI-assisted development setup.
Uses the ACMM (AI Codebase Maturity Model) as a framework for evaluating which tools matter at each maturity level.
Add as a Claude Code marketplace:
claude plugins:add-marketplace https://github.com/mattbutlerengineering/ai-tooling.git
claude plugins:install ai-tooling
This gives you four skills:
/setup-workflow — bootstrap the recommended AI workflow in any repo/evaluate-tool — evaluate a new tool before adopting it (checks overlap, ACMM fit)/audit-workflow — audit your current setup against the recommended workflow/update-catalog — sync the catalog with current GitHub stars and local installs/sync-stars — find starred repos not in CATALOG.md and generate ready-to-paste entriesAfter installing, run /setup-workflow in any repo to bootstrap the recommended workflow. It creates a CLAUDE.md with quality-producing rules, checks your global tool installation, and identifies gaps for your target ACMM level.
Modifies files
Hook triggers on file write and edit operations
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