Does it require a local clone of the GitHub repository?

No, for GitHub repositories, it uses the GitHub API to fetch the file tree and content, so you don't need to clone the repo locally first.

How does Matrix Repomix save on token costs?

It uses a two-phase process. Phase 1 indexes the repository and suggests relevant files with token estimates, allowing you to confirm which files to 'pack' before any heavy token consumption occurs.

Can I pack local folders or only GitHub repositories?

Matrix Repomix supports both GitHub shorthand (like 'owner/repo') and local file paths for maximum flexibility.

What files are excluded by default?

The skill includes smart exclusions that automatically skip tests, documentation, configuration files, and heavy dependency folders like node_modules to keep context clean.

Matrix Repomix

Name: Matrix Repomix
Author: ojowwalker77

byojowwalker77

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Web Scraping & Data Collection

Packs external GitHub or local repositories into a token-efficient format for deep context analysis within Claude Code.

About

Matrix Repomix is a high-performance context-gathering skill designed to help developers analyze external codebases without exhausting their token limits. By implementing a unique two-phase indexing flow, the skill first identifies relevant files through semantic search and provides precise token estimates before any content is actually processed. This allows users to selectively pack only the most critical modules from a repository, making it an essential tool for learning new frameworks, investigating API implementations, or performing architectural reviews of third-party libraries.

Key Features

Smart exclusion filters for tests, documentation, and node_modules
Two-phase indexing flow to minimize unnecessary token consumption
Query-first semantic search powered by Matrix embeddings
Pre-pack token estimations and file suggestions for user confirmation
81 GitHub stars
Support for both GitHub shorthand (owner/repo) and local file paths

Use Cases

Fetching implementation examples from the Anthropic Cookbook or external API repos
Onboarding onto new open-source libraries by querying specific functionality
Analyzing large local projects by packing only the relevant functional modules

About

Key Features

Smart exclusion filters for tests, documentation, and node_modules
Two-phase indexing flow to minimize unnecessary token consumption
Query-first semantic search powered by Matrix embeddings
Pre-pack token estimations and file suggestions for user confirmation
81 GitHub stars
Support for both GitHub shorthand (owner/repo) and local file paths

Use Cases

Fetching implementation examples from the Anthropic Cookbook or external API repos
Onboarding onto new open-source libraries by querying specific functionality
Analyzing large local projects by packing only the relevant functional modules