autonomous-agent-readiness
Assess a codebase's readiness for autonomous agent development and provide tailored recommendations. Use when asked to evaluate how well a project supports unattended agent execution, assess development practices for agent autonomy, audit infrastructure for agent reliability, or improve a codebase for autonomous agent workflows. Triggers on requests like "assess this project for agent readiness", "how autonomous-ready is this codebase", "evaluate agent infrastructure", or "improve development practices for agents".
npx skills add majiayu000/claude-skill-registry --skill autonomous-agent-readiness --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Autonomous Agent Readiness Assessment Evaluate a codebase against proven patterns for autonomous agent execution and provide tailored recommendations. ## Core Philosophy Most agent failures are system design failures, not model failures. An agent that requires human approval at every step or depends on a developer's laptop being open is not autonomous. Autonomy is an infrastructure decision. ## Assessment Workflow ### Phase 1: Discovery Gather information about the project's current state: 1. **Examine project structure** - Look for CI/CD configuration (`.github/workflows/`, `Jenkinsfile`, `.gitlab-ci.yml`) - Check for containerization (`Dockerfile`, `docker-compose.yml`, `devcontainer.json`) - Identify test infrastructure (`tests/`, `__tests__/`, test config files) - Find environment management (`.env.example`, `requirements.txt`, `package.json`) 2. **Review development workflow** - Read contributing guidelines, README, or developer docs - Check for sandbox/isolation patterns - Look for database setup scripts or fixtures - Identify how dependencies are managed 3. **Assess current automation** - Review existing CI/CD pipelines - Check for automated testing patterns - Look for env
- Core Philosophy
- Assessment Workflow
- Phase 1: Discovery
- Phase 2: Evaluate Against Principles
- Phase 3: Generate Recommendations
- Output Format
- Key Principles Reference
- Sandbox Everything
- No External Databases
- Environment Garbage Is Real
- Run Independently of User Sessions
- Define Outcomes, Not Procedures
- Direct, Low-Level Interfaces
- Persist State Explicitly
What does the autonomous-agent-readiness skill do?
Assess a codebase's readiness for autonomous agent development and provide tailored recommendations. Use when asked to evaluate how well a project supports unattended agent execution, assess development practices for agent autonomy, audit infrastructure for agent reliability, or improve a codebase for autonomous agent workflows. Triggers on requests like "assess this project for agent readiness", "how autonomous-ready is this codebase", "evaluate agent infrastructure", or "improve development practices for agents".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill autonomous-agent-readiness --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.