are-generate

Generate file-level summaries and directory-level AGENTS.md pointers for codebases.

19|4|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/GeoloeG-IsT/agents-reverse-engineer --skill are-generate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: are-generate
Source: https://github.com/GeoloeG-IsT/agents-reverse-engineer/tree/main/.claude/skills/are-generate
Command: npx skills add https://github.com/GeoloeG-IsT/agents-reverse-engineer --skill are-generate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate AI-friendly documentation for the entire codebase, enabling AI assistants to understand structure and intent.

Core Features & Use Cases

  • AI-driven codebase summaries that feed downstream agents.
  • Per-directory documentation generation with AGENTS.md pointers and CLAUDE.md references.
  • Works across repositories of varying sizes to produce consistent, searchable metadata.

Quick Start

Run the ARE CLI on your repository to generate the .sum metadata and AGENTS.md docs.

Frequently Asked Questions about are-generate

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

FAQPage Schema
How do I generate AI-friendly documentation for an entire codebase?

To generate AI-friendly codebase documentation, run the ARE CLI on your repository to produce file-level summaries and directory-level AGENTS.md pointers. This automated process creates searchable metadata across directories and packages, enabling AI assistants to understand structure and intent.

What's the best way to create AGENTS.md and CLAUDE.md references for my repository?

Creating AGENTS.md and CLAUDE.md references is handled by running the ARE CLI on your repository. It generates per-directory documentation with AGENTS.md pointers and CLAUDE.md references, providing consistent metadata for AI assistants to navigate your codebase.

Can I use automated codebase summaries across repositories of varying sizes?

Automated codebase summaries apply to codebases of varying sizes, from small projects to large repositories. The generation process works across directories and packages, yielding consistent file-level summaries and metadata for AI assistants to consume.

How does reverse-engineering codebase documentation for AI assistants work?

Reverse-engineering codebase documentation for AI assistants involves generating AI-driven summaries that feed downstream agents. The process produces .sum metadata and AGENTS.md docs, enabling AI tools to understand repository structure and intent without manual documentation overhead.

Do I need any dependencies to generate directory-level documentation pointers?

No dependencies are required to generate directory-level documentation pointers. The ARE CLI operates independently to produce .sum metadata and AGENTS.md docs on your repository, creating consistent references for AI assistants without external package requirements.