AI Readiness Assessment

by github

AI Readiness Assessment is an AI Engineering skill for Claude Code, published by github in awesome-copilot.

37.8K stars4.8K forkson github/awesome-copilotAdded 2026/08/13Repository updated 2026/08/13

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Install in seconds

Install AI Readiness Assessment

Copy AI Readiness Assessment into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/github/awesome-copilot/tree/main/skills/acreadiness-assess ~/.claude/skills/acreadiness-assess

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/github/awesome-copilot.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/acreadiness-assess/SKILL.md in github/awesome-copilot
Installs to: ~/.claude/skills/acreadiness-assess
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What AI Readiness Assessment does

AI Readiness Assessment runs the AgentRC readiness scan on a repository and generates a static HTML dashboard at reports/index.html with maturity level, score, pillar breakdowns, and remediation plan. Use it when asked to audit, score, or assess the AI readiness of a codebase.

AI Readiness Assessment is cataloged under AI Engineering on DirSkills. AI Readiness Assessment comes from a repository tagged agent-skills, agents, ai, awesome and custom-agents.

Documentation

README

Excerpt

/acreadiness-assess — AI-readiness assessment

Use this skill whenever the user asks for an AI-readiness assessment, a readiness check, an audit, or wants to see how AI-ready their repository is.

This skill is the Measure step in AgentRC's Measure → Generate → Maintain loop. The result is a self-contained HTML dashboard the user can open with file:// or commit to the repo.

Steps

Confirm prerequisites. Node 20+ must be on PATH. If unsure, run node --version.

This is the opening of the README. Read the full README on GitHub.

Commands AI Readiness Assessment provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/acreadiness-assess

Frequently asked about AI Readiness Assessment

What else does github publish alongside AI Readiness Assessment?
AI Readiness Assessment is one of 25 skills that DirSkills catalogs from github/awesome-copilot, the repository it ships in. Its siblings there include AI Prompt Engineering Safety Review, AI Ready and AI Team Orchestration. Each one is a separate skill with its own page in this directory, installs the same way AI Readiness Assessment does, and is maintained by github in that same repository. The rest of the collection is listed on the github/awesome-copilot page.
How does AI Readiness Assessment compare to other AI Engineering skills?
AI Readiness Assessment ranks #151 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AI Readiness Assessment against them. Open each page to compare what they document and how they install.