skills.rest
ambient-codeambient-codeOfficial·2 Agent Skills Included

agentready

Score repositories for AI-assisted development readiness

Assesses git repositories against 25 evidence-based attributes covering code quality, testing, documentation, and security. Generates interactive HTML and Markdown reports with certification levels from Bronze to Platinum. Provides actionable remediation steps with specific tools and commands to fix each failing attribute. Eliminates guesswork about whether a codebase is ready for AI-assisted development workflows.
150|63
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npx skills add ambient-code/agentready --all -g -y
Available:

Gives your AI agent the core commands, scoring rules, assessor patterns, and workflow conventions needed to run assessments and extend this repository correctly.

All Skills in This Repository (2)

Pure Emerald Level Indicators
📦 In Repo
ambient-codeambient-code

setup-claude-md

Generates CLAUDE.md configuration files with YAML frontmatter and markdown body.

Official
Basic
📦 In Repo
ambient-codeambient-code

implement-type-annotations

Add type hints to Python and TypeScript code with mypy and the TypeScript compiler.

Official
Intermediate

Frequently Asked Questions

FAQPage Schema
How to install AgentReady?▼

Run `npx skills add ambient-code/agentready --all -g -y` in your terminal to install all skills in this suite globally.

What does AgentReady measure?▼

It scores your repository across 25 research-backed attributes like test coverage, type annotations, documentation, and CI setup, then assigns a Bronze to Platinum certification.

How do I check if my repo is ready for AI coding tools?▼

Run `agentready assess .` in your repository to get an overall score plus a detailed report showing exactly which attributes pass or fail.

Does AgentReady tell me how to fix problems?▼

Yes. Every failing attribute comes with specific remediation steps, recommended tools, and example commands you can apply immediately.

Can I customize the scoring weights?▼

Yes. Create a `.agentready-config.yaml` file to adjust attribute weights, exclude specific checks, or change the report output directory.

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