ai-first

Standardize repository documentation into context-format Markdown with LEGEND.md and token references.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/AmirTlinov/magray-marketplace --skill ai-first
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-first
Source: https://github.com/AmirTlinov/magray-marketplace/tree/main/flagship-team/skills/ai-first
Command: npx skills add https://github.com/AmirTlinov/magray-marketplace --skill ai-first

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill standardizes repository documentation into a consistent, machine-readable format, improving discoverability and usability for both humans and AI agents.

Core Features & Use Cases

  • Documentation Standardization: Enforces a uniform structure for project documentation.
  • AI-Agent Compatibility: Formats documentation for easy consumption by AI agents.
  • Use Case: Ensure all your project's documentation, from API references to user guides, adheres to a strict LEGEND/CONTENT format, making it easy for an AI to understand and utilize the information.

Quick Start

Use the ai-first skill to standardize the documentation in the current repository.

Frequently Asked Questions about ai-first

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

FAQPage Schema
How do I standardize repository documentation for AI agent consumption?

AI documentation standardization applies a LEGEND/CONTENT format with deterministic gates and token resolution rules to enforce a uniform structure. This makes project documentation easily discoverable and usable for both humans and AI agents.

What is the best way to format markdown documentation for AI code generation tools?

The best way to format markdown for AI tools is to apply a strict LEGEND/CONTENT format with a global standard library defined in LEGEND.md. This ensures consistent documentation structure and deterministic token resolution for AI agent interaction.

How do I set up deterministic gates for repository documentation standardization?

Set up deterministic gates by applying token resolution rules and defining a global standard library within a LEGEND.md file. This process standardizes repository documentation into machine-readable Markdown for consistent AI and human interaction.

Can I use this documentation standardization approach for existing software project repositories?

Yes, you can standardize documentation for existing software projects requiring consistent documentation. The process enforces a uniform LEGEND/CONTENT structure across all project files, making existing API references and user guides easily consumable by AI agents.

What are the limitations of using a LEGEND.md file for AI documentation standardization?

Using a LEGEND.md file for AI documentation standardization requires strict adherence to token resolution rules and a global standard library. Projects must conform to this deterministic LEGEND/CONTENT format, which may require restructuring existing non-standard markdown files.