Repomix

Skill Verified Active

Pack and analyze codebases into AI-friendly single files using Repomix. Use when the user wants to explore repositories, analyze code structure, find patterns, check token counts, or prepare codebase context for AI analysis. Supports both local directories and remote GitHub repositories.

Purpose

To simplify the process of providing large codebases to AI models by consolidating them into a single, manageable, and AI-optimized file.

Features

Pack local and remote code repositories
Generate AI-friendly output formats (XML, Markdown, JSON, Plain Text)
Compress codebases to reduce token count (~70%)
Filter files using glob patterns and ignore rules
Includes security checks for sensitive data

Use Cases

Analyze entire codebases with AI models
Explore repository structure and find patterns
Prepare codebase context for code review or refactoring
Estimate token counts for AI context limits

Non-Goals

Executing code within the packed repository
Modifying code in the original repository
Providing real-time code analysis or refactoring suggestions directly

Trust

info:Issues AttentionIn the last 90 days, 11 issues were opened and 3 were closed. This indicates a closure rate below 50% and a moderate number of open issues, suggesting maintainer engagement could be improved.

Installation

npx skills add yamadashy/repomix

Runs the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.

Quality Score

Verified

98 /100

Analyzed about 17 hours ago

Trust Signals

Last commit3 days ago

GitHub owner yamadashy

Stars24.7k

Downloads 211.8k

LicenseMIT

Websiterepomix.com

Status

View Source

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