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goncalovelosa
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agents-md-creator

Generate and validate AGENTS.md files for AI coding agents.

1|Updated Mar 17, 2026
Search Tags:#automation#workflow#documentation#context#ai#agents
One-click install
npx skills add https://github.com/goncalovelosa/agents-md-creator --skill agents-md-creator-goncalovelosa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agents-md-creator
Source: https://github.com/goncalovelosa/agents-md-creator/tree/main
Command: npx skills add https://github.com/goncalovelosa/agents-md-creator --skill agents-md-creator-goncalovelosa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, and includes scripts (resource) and references (resource) and templates (resource) components.

What problem does it solve?

AI coding agents often lose context between sessions, forcing developers to repeat project details, conventions, and build commands. This Skill solves that by generating and validating standardized AGENTS.md files that provide agents with the exact context they need to be productive immediately.

Core Features & Use Cases

  • Automatic Context Detection: Scans your project structure, tech stack, and existing configuration files to build a comprehensive context profile.
  • Research-Based Templates: Provides optimized templates for various project types, including monorepos and standard applications, based on best practices from 60+ sources.
  • Validation Loop: Enforces a strict validation process to ensure your AGENTS.md file is within optimal length limits and contains all required sections for agent success.

Quick Start

Run the gather-context script in your project root to detect your tech stack and generate the initial context file.

Frequently Asked Questions about agents-md-creator

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

FAQPage Schema
How do I generate an AGENTS.md file to provide context for AI coding agents?▼

To generate an AGENTS.md file for AI coding agents, run the gather-context script in your project root to detect your tech stack and automatically build a comprehensive context profile.

What is the best way to standardize AI context for consistent agent performance across sessions?▼

Standardizing AI context involves generating and validating AGENTS.md files using research-based templates, ensuring AI coding agents receive consistent project details, conventions, and build commands immediately.

Do I need jq and bash installed to automatically detect my project structure for AI documentation?▼

Yes, generating and validating AGENTS.md files requires bash, jq, and standard Unix utilities to perform automated context gathering, project structure detection, and validation loops.

Can I use templates for monorepos when creating AI agent instructions?▼

Yes, the system provides optimized templates for various project types, including monorepos and standard applications, based on best practices from over 60 research sources for instruction following.

Why does my AI coding agent lose context and repeat project details between sessions?▼

AI coding agents lose context between sessions without a standardized AGENTS.md file, forcing developers to repeat project details and conventions unless a strict validation process enforces optimal context limits.

What are the limitations of automatically generated AI agent context files?▼

Generated AI agent context files face strict validation limitations, enforcing optimal length limits and requiring all necessary sections for agent success to prevent context degradation and ensure adherence to best practices.

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