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repomix

Consolidate code repositories into single markdown or plain text files.

34|2|Updated Feb 24, 2026
Search Tags:#git#codebase#analysis#packaging#repository#project review
One-click install
npx skills add https://github.com/retran/meowary --skill repomix-retran
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: repomix
Source: https://github.com/retran/meowary/tree/main/.shared/skills/repomix
Command: npx skills add https://github.com/retran/meowary --skill repomix-retran

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of consolidating large or multiple code repositories into a single, AI-friendly file for analysis, review, or planning.

Core Features & Use Cases

  • Repository Packing: Combine entire repositories or specific file subsets into a compact, scan-friendly format like markdown or plain text.
  • Selective Inclusion/Exclusion: Filter files using glob patterns to focus on relevant parts of codebases before processing.
  • Use Case: Prepare a vast project for AI review by packaging only the most recent or critical parts, reducing token load and improving insight accuracy.

Quick Start

Load your repository files list into stdin and run repomix to create a condensed, structured overview suitable for AI consumption.

Frequently Asked Questions about repomix

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

FAQPage Schema
How do I package a complex codebase for AI analysis?▼

To package a complex codebase for AI analysis, you can load repository file lists into the tool to consolidate large repositories into a single, manageable markdown or plain text file for AI consumption.

Can I filter specific files when consolidating a repository for AI review?▼

Yes, you can filter specific files when consolidating a repository for AI review by using glob patterns for selective inclusion and exclusion, focusing only on the most critical parts to reduce token load.

Does codebase packaging work with remote git repositories?▼

Codebase packaging operates over both local and remote git repositories, allowing you to streamline the consolidation of large project files into a compact, scan-friendly format for AI workflows.

What is the best way to reduce token load when preparing a vast project for AI?▼

The best way to reduce token load when preparing a vast project for AI is to package only the most recent or relevant subsets of the codebase, generating a condensed, structured overview to improve insight accuracy.

Are there limitations when consolidating multiple repositories into one file?▼

Consolidating multiple repositories into one file requires precise filtering to avoid exceeding AI context limits, relying on glob patterns to selectively include only relevant codebase subsets for efficient summarization.

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