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Cogni-AI-OU
Cogni-AI-OUOFFICIAL
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agents-md-writer

Create and update AGENTS.md files with MUST/NEVER constraints and required headers.

3|1|Updated Apr 12, 2026
Search Tags:#quality gates#documentation automation#agents.md#coding agents#repository onboarding#contract style
One-click install
npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill agents-md-writer-cogni-ai-ou
Or copy as Structured Prompt for Agentā–¼
Please help me install this Agent Skill.
Skill: agents-md-writer
Source: https://github.com/Cogni-AI-OU/cogni-ai-agent-skills/tree/main/agents-md-writer
Command: npx skills add https://github.com/Cogni-AI-OU/cogni-ai-agent-skills --skill agents-md-writer-cogni-ai-ou

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates inconsistent, missing, or outdated AGENTS.md files so AI coding agents can operate with the correct boundaries, commands, and verification gates from the moment they start work.

Core Features & Use Cases

  • Baseline enforcement: Creates or updates AGENTS.md to match the organizational baseline structure and entropy-minimized standards.
  • Contract-style directives: Writes dense, agent-facing instructions including MUST/NEVER constraints and verification gates.
  • Directory-specific context: Authorizes nested AGENTS.md files to tailor guidance per subtree while preserving root invariants.
  • Maintenance and synchronization: Keeps command sets, boundaries, and headers current as the repo evolves.

Quick Start

Use the agents-md-writer skill to create or update AGENTS.md in the repository root or a specific subdirectory to match the required organizational structure.

Frequently Asked Questions about agents-md-writer

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

FAQPage Schema
How do I create consistent AGENTS.md files for coding agent onboarding?ā–¼

To create consistent AGENTS.md files for coding agent onboarding, use an automated documentation approach that enforces a canonical baseline structure with contract-style MUST and NEVER constraints, ensuring AI agents operate within correct boundaries.

What does an AGENTS.md file need to include for AI coding agents?ā–¼

An AGENTS.md file for AI coding agents needs required headers, contract-style directives, verification gates, and directory-specific instructions to provide consistent repository context and enforce execution constraints.

Can I use nested AGENTS.md files to tailor instructions for specific subdirectories?ā–¼

Yes, you can use nested AGENTS.md files to authorize directory-specific context for each subtree while preserving root invariants, ensuring coding agents receive localized guidance without violating baseline constraints.

How do I keep repository onboarding documentation current as my codebase evolves?ā–¼

Keep repository onboarding documentation current by synchronizing AGENTS.md files during maintenance to update command sets, boundaries, and headers, preventing entropy and ensuring AI-driven edits remain consistent.

What's the best way to enforce quality gates for coding agents in a repository?ā–¼

The best way to enforce quality gates for coding agents is by applying contract-style directives and validation checks within AGENTS.md files to verify that required headers and invariants are present before task completion.

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