Evaluate codebase readiness for autonomous AI agents across eight pillars.
npx skills add https://github.com/LatencyTDH/skills --skill agent-readiness
Please help me install this Agent Skill. Skill: agent-readiness Source: https://github.com/LatencyTDH/skills/tree/main/agent-readiness Command: npx skills add https://github.com/LatencyTDH/skills --skill agent-readiness
Framework for evaluating and improving how well a codebase supports autonomous AI development. Use when assessing repository readiness for AI agents, identifying gaps in tooling/documentation/testing, or recommending improvements to make codebases more agent-friendly. Triggers on requests to evaluate agent readiness, improve codebase quality for AI, or assess repository maturity for autonomous development.
Run an agent-readiness assessment on a target repository to identify gaps and improvement opportunities.
High-intent search queries and answers about installing and using this skill.
Agent readiness evaluates how well a codebase supports autonomous AI agents. It scores repository maturity across eight technical pillars, including documentation, testing, and dev environment setup, to identify tooling gaps and guide targeted improvements.
Run an agent-readiness evaluation on your target repository. This structured process checks objective criteria across five maturity levels, from Functional to Autonomous, producing actionable guidance to improve codebase support for AI agents.
A codebase maturity assessment evaluates eight technical pillars: style, build, testing, documentation, dev environment, code quality, observability, and security. These pillars determine how effectively autonomous AI agents can interact with the codebase.
Yes, you can use this evaluation to identify tooling and documentation gaps. It checks specific signals across the codebase to address missing requirements and maturation opportunities needed for autonomous AI agent support.
Codebase readiness for AI agents is measured across five maturity levels, ranging from Functional to Autonomous. Each level defines specific capabilities and expectations to help structure your evaluation process and track maturation progress.
Evaluate repository agent readiness when assessing codebase quality for AI, identifying tooling gaps, or recommending improvements. Use it before deploying autonomous development workflows to ensure your documentation, testing, and dev environment meet objective criteria.
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