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markjoshwel
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agents-md-authoring-majo

Author concise AGENTS.md files using six-core-areas and three-tier boundaries.

Updated Feb 2, 2026
Search Tags:#documentation#agents.md#boundaries#AGENTS.md#six-core-areas#monorepos
One-click install
npx skills add https://github.com/markjoshwel/skills --skill agents-md-authoring-majo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agents-md-authoring-majo
Source: https://github.com/markjoshwel/skills/tree/main/agents-md-authoring-majo
Command: npx skills add https://github.com/markjoshwel/skills --skill agents-md-authoring-majo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AGENTS.md files are often inconsistent, bloated, or omitted, causing agents to operate with incomplete or conflicting context. This guide provides a structured, concise approach to authoring AGENTS.md that consistently delivers high-signal context for AI coding agents and reduces context-switching.

Core Features & Use Cases

  • Six-Core-Areas Framework: Commands, Testing, Project Structure, Code Style, Git Workflow, Boundaries, with guidance on exact commands, testing expectations, high-signal structure, concrete examples, and safe boundaries.
  • Progressive Disclosure: Keeps root guidance compact while linking to deeper docs and project-specific details.
  • Three-Tier Boundaries: ALWAYS/ASK FIRST/NEVER to reduce ambiguity and enforce safety.
  • Monorepo support: Nested AGENTS.md files enable project-specific guidance while preserving global rules.
  • Iterative Refinement: Track agent mistakes and update guidance to steadily improve performance.
  • Cross-Skill Integration: Works with skill-authoring-majo, task-planning-majo, and git-majo for end-to-end governance.

Quick Start

Create a concise AGENTS.md for a project that uses the six-core-areas framework and three-tier boundaries, citing real code examples from the repo and updating after agent mistakes.

Frequently Asked Questions about agents-md-authoring-majo

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

FAQPage Schema
How do I write an AGENTS.md file that gives AI coding agents the right context?▼

Authoring an AGENTS.md uses a six-core-areas framework covering Commands, Testing, Project Structure, Code Style, Git Workflow, and Boundaries, citing real repo examples to deliver high-signal context for AI coding agents.

What is the best way to structure AGENTS.md for monorepos?▼

The best way to structure AGENTS.md for monorepos is using nested AGENTS.md files that provide project-specific guidance while preserving global rules at the root, keeping root tokens minimized through progressive disclosure.

How do I set boundaries in AGENTS.md to prevent AI agents from making mistakes?▼

Set boundaries in AGENTS.md using a three-tier system of ALWAYS, ASK FIRST, and NEVER rules to reduce ambiguity and enforce safe operational constraints for AI agents.

Why does my AI agent keep ignoring project context despite having documentation?▼

Your AI agent ignores project context because documentation is bloated or inconsistent; fix this by standardizing AGENTS.md with progressive disclosure and tracking agent mistakes for iterative refinement.

Do I need to update my AGENTS.md file after AI agent mistakes?▼

Yes, you should update AGENTS.md after AI agent mistakes by documenting the error and refining the guidance, which steadily improves agent performance and reduces context-switching over time.

Can I use AGENTS.md alongside other AI agent governance skills?▼

Yes, you can use AGENTS.md alongside other governance skills like skill-authoring, task-planning, and git tools, integrating them for end-to-end AI agent governance across your workflow.

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