Audits codebase infrastructure to assess agentic maturity and identify automation investment opportunities.
The Agentic Layer Auditor provides a comprehensive diagnostic of your repository's readiness for AI-driven development and autonomous agent collaboration. By scanning for critical infrastructure like command templates, specification files, automated workflow modules (ADWs), and worktree isolation, it generates a detailed maturity score and report. This skill is essential for teams transitioning from manual coding to an agentic-first workflow, offering a clear roadmap of infrastructure gaps and recommended technical investments to maximize Claude's effectiveness in your specific environment.
主要功能
01Automated scoring of agentic infrastructure components
02Evaluation of workflow modules and agent hooks
03Identification of gaps in command templates and specifications
0438 GitHub stars
05Detailed investment recommendations for maturity leveling
06Analysis of environment isolation and observability
使用场景
01Tracking progress when implementing agentic workflows across a engineering team
02Evaluating a new repository for AI-assisted development readiness
03Identifying specific technical debt hindering AI agent productivity
