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readiness-report

Analyze repository readiness for autonomous AI development across eight pillars.

1|Updated Jan 18, 2026
Search Tags:#codebase#ai#assessment#readiness#maturity#pillars
One-click install
npx skills add https://github.com/anntnzrb/agents --skill readiness-report-anntnzrb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: readiness-report
Source: https://github.com/anntnzrb/agents/tree/main/assets/skills/readiness-report
Command: npx skills add https://github.com/anntnzrb/agents --skill readiness-report-anntnzrb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Evaluate a codebase's readiness for autonomous AI development by analyzing signals across eight pillars and five maturity levels.

Core Features & Use Cases

  • Comprehensive pillar-based assessment across Style & Validation, Build System, Testing, Documentation, Dev Environment, Debugging & Observability, Security, Task Discovery, and Product & Analytics
  • Generates per-criterion results, level progress, strengths, and prioritized improvements to guide remediation
  • Supports actionable remediation guidance tailored to the repository type (library, CLI, database) and language

Quick Start

Run the readiness analysis on a repository to produce a detailed report and recommendations.

Frequently Asked Questions about readiness-report

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess if my codebase is ready for autonomous AI development?▼

Assess codebase readiness for autonomous AI by analyzing your repository across eight pillars and five maturity levels to identify gaps, score each criterion, and deliver actionable remediation guidance.

What pillars are evaluated in a codebase maturity assessment for AI?▼

A codebase maturity assessment for AI evaluates eight pillars: Style and Validation, Build System, Testing, Documentation, Dev Environment, Debugging and Observability, Security, and Task Discovery.

Can I run an AI readiness assessment on any repository type and language?▼

You can run an AI readiness assessment on codebases of various languages and sizes, with checks adjusted for repository types including libraries, CLIs, and databases.

How do I identify gaps blocking autonomous AI development in my repository?▼

Identify gaps blocking autonomous AI by running a readiness analysis that enforces checks for configuration, tooling, tests, documentation, dev environment, security, and task discovery.

What's the best way to generate remediation guidance for codebase AI readiness?▼

The best way to generate remediation guidance is running an assessment that produces per-pillar scoring, level progress, strengths, and prioritized improvements tailored to your repository type and language.

Does a codebase readiness report adjust its checks for different repository types?▼

Codebase readiness reports adjust checks for repository types such as library, CLI, and database, ensuring remediation guidance and scoring are tailored to the specific project context.

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