readiness-report
Agent Readiness Report
Evaluate how well a repository supports autonomous AI development by analyzing it across eight technical pillars and five maturity levels.
Overview
Agent Readiness measures how prepared a codebase is for AI-assisted development. Poor feedback loops, missing documentation, or lack of tooling cause agents to waste cycles on preventable errors. This skill identifies those gaps and prioritizes fixes.
Quick Start
The user will run /readiness-report to evaluate the current repository. The agent will then:
- Clone the repo, scan repository structure, CI configs, and tooling
- Evaluate 81 criteria across 9 technical pillars
- Determine maturity level (L1-L5) based on 80% threshold per level
- Provide prioritized recommendations
Workflow
Step 1: Run Repository Analysis
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