Does this skill modify my source code?

No, the skill uses read-only commands to analyze your project and only creates or updates the AGENTS.md file without touching your source code.

How does it determine the length of the document?

The skill measures the repository's Lines of Code (LOC) to calculate dynamic character limits, ensuring the guide fits within AI context windows efficiently.

What is an AGENTS.md file?

It is a standardized document that provides AI agents with essential context about a repository's structure, patterns, and rules to improve their coding performance and accuracy.

What sections are included in the generated guide?

The generated document includes five core sections: Overview, Folder Structure, Core Behaviors & Patterns, Conventions, and Working Agreements.

Can I use this for any programming language?

Yes, it analyzes the file structure and code patterns generically, making it compatible with any programming language or framework.

AI Agent Contributor Guide Generator

Name: AI Agent Contributor Guide Generator
Author: buYoung

bybuYoung

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Learning & Documentation

Generates standardized AGENTS.md files that serve as structured contributor guides to help AI agents understand and navigate your codebase.

About

The AGENTS.md Generator automates the creation of specialized documentation designed specifically for AI agents following the 1.1 standard. By performing a read-only analysis of your repository's structure and measuring Lines of Code (LOC), the skill generates a concise, five-section guide that outlines architectural patterns, naming conventions, and working agreements. This is particularly useful for streamlining AI agent onboarding, ensuring that LLM-based collaborators follow project-specific styles and boundaries without manual instruction, ultimately reducing errors and improving code consistency.

Key Features

4 GitHub stars
Automated repository structure analysis and LOC measurement
Dynamic character limit optimization based on codebase size
Read-only repository inspection ensuring safe code analysis
Generates standardized 5-section AGENTS.md contributor guides
Pattern recognition for error handling, logging, and control flow

Use Cases

Onboarding a new AI agent to a complex or legacy codebase
Defining project-specific coding conventions for better AI collaboration
Standardizing AI agent instructions across multiple repositories

About

Key Features

4 GitHub stars
Automated repository structure analysis and LOC measurement
Dynamic character limit optimization based on codebase size
Read-only repository inspection ensuring safe code analysis
Generates standardized 5-section AGENTS.md contributor guides
Pattern recognition for error handling, logging, and control flow

Use Cases

Onboarding a new AI agent to a complex or legacy codebase
Defining project-specific coding conventions for better AI collaboration
Standardizing AI agent instructions across multiple repositories