agent-native-repo-playbook

Audits and improves repositories for autonomous agent-native development workflows.

25|1|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/wisdom-in-a-nutshell/agents --skill agent-native-repo-playbook-wisdom-in-a-nutshell
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-native-repo-playbook
Source: https://github.com/wisdom-in-a-nutshell/agents/tree/main/skills-source/owned/agent-native-repo-playbook
Command: npx skills add https://github.com/wisdom-in-a-nutshell/agents --skill agent-native-repo-playbook-wisdom-in-a-nutshell

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Repositories often lack the structure, guidance, and guardrails that let AI coding agents execute full jobs autonomously, forcing humans to repeatedly intervene, re-explain context, and verify incomplete work. ## Core Features & Use Cases - Harness Audits: Reviews AGENTS.md files, docs structure, check scripts, and execution surfaces to find where a cold agent would stall or guess. - Readiness Scoring: Scores repositories across seven dimensions (context routing, durable knowledge, autonomous execution, guardrails, proof of work, recovery, feedback loops) using a 0-4 rubric with an overall score out of 100. - Guidance Cleanup: Applies a Keep / Move / Delete model to root and nested AGENTS.md files so guidance stays short, durable, and enforceable. - Use Case: A solo developer asks for a readiness score on their repo; the Skill inspects guidance files, check scripts, and docs, then returns a dimension table, top blockers, and prioritized next moves grounded in concrete file evidence. ## Quick Start Use the agent-native-repo-playbook to audit this repository and score its agent-native readiness.

Frequently Asked Questions about agent-native-repo-playbook

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

FAQPage Schema
How do I audit my repository for AI agent readiness?▼

Run a harness audit that inspects root and nested AGENTS.md files, docs structure, check scripts, and execution surfaces. The audit identifies where a cold agent would stall and returns prioritized gaps with concrete file evidence.

How do I score a repo's agent-native readiness?▼

Use the harness readiness rubric, which scores seven dimensions from 0 to 4, including context routing, autonomous execution, mechanical guardrails, and proof of work. The output includes an overall score out of 100, a dimension table, and top blockers.

What should go in an AGENTS.md file?▼

Root AGENTS.md should be a short router with universal rules and pointers to canonical docs, while nested files only cover local boundary rules that differ. Each line should be universal, operational, enforceable, and durable, otherwise it moves to docs or gets deleted.

Does this playbook work for teams or only solo developers?▼

It is designed for solo-developer, high-permission workflows where agents write code and docs while humans set intent. It deliberately avoids team-heavy approvals, branch ceremony, and centralized policy layers unless a concrete risk requires them.

When should I not use direct-to-main workflows?▼

Direct-to-main is the default for trusted solo repos with fast recoverable checks, but approval or branch processes are appropriate when they meaningfully reduce real risk, such as secrets handling or irreversible external effects.