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agent-readiness

Assess codebase readiness for autonomous AI coding agents.

2|Updated Oct 2, 2025
Search Tags:#automation#documentation#codebase#governance#readiness#agent-ready#pillar-checks
One-click install
npx skills add https://github.com/misty-step/volume --skill agent-readiness-misty-step
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-readiness
Source: https://github.com/misty-step/volume/tree/main/.agents/skills/agent-readiness
Command: npx skills add https://github.com/misty-step/volume --skill agent-readiness-misty-step

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Assess and orchestrate agent readiness for codebases to enable autonomous AI agents to operate with reliable feedback loops and governance.

Core Features & Use Cases

  • Parallel pillar assessments and synthesized readiness scores to guide remediation.
  • Structured, evidence-backed Pillar checks per references/pillar-checks.md.
  • Guided remediation workflow including phases Assess, Report, Clarify, and Fix.

Quick Start

Run the agent-readiness workflow to begin assessing your codebase and generate a prioritized fix plan.

Frequently Asked Questions about agent-readiness

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 agents?▼

Codebase readiness for autonomous AI agents is assessed through parallel pillar checks evaluating style, CI, testing, documentation, environment, and governance to generate a synthesized readiness score.

What does making a repository agent-ready actually involve?▼

Making a repository agent-ready involves evaluating continuous integration feedback loops, testing reliability, and documentation structure, then generating a prioritized remediation plan to fix identified governance gaps.

How do I start improving codebase readiness for AI coding workflows?▼

Start improving codebase readiness by running the assess workflow to score your pillars, review the generated report, clarify ambiguous evidence, and execute the guided fix phases.

Can I check agent readiness for projects with strict governance requirements?▼

Yes, agent readiness checks explicitly evaluate governance alongside CI, testing, and documentation to ensure autonomous AI operates within reliable feedback loops and compliant boundaries.

What is the best way to prioritize codebase fixes for agent-based development?▼

The best way to prioritize codebase fixes is using the synthesized readiness score from the pillar assessments, which highlights critical gaps in environment setup and testing for remediation.

Why do autonomous AI agents fail in unprepared codebases?▼

Autonomous AI agents fail in unprepared codebases due to unreliable feedback loops, missing documentation, inconsistent style, and inadequate CI testing that prevent stable automated workflows.

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