# Repomix

> Use this tool when you need to efficiently analyze codebases by compressing and packaging repositories into optimized single files. Repomix solves the problem of cumbersome code analysis by reducing token usage while preserving code structure and essential signatures. It takes in local or remote repositories as input and outputs optimized single files, ideal for use cases where AI models require streamlined code analysis.

Canonical page: https://skillsregistry.net/skills/yamadashy-repomix  
JSON: https://api.skillsregistry.net/v1/skills/yamadashy-repomix

## Description

Repomix MCP Server enables AI models to efficiently analyze codebases by packaging local or remote repositories into optimized single files, with intelligent compression via Tree-sitter to significantly reduce token usage while preserving code structure and essential signatures.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lczqcx54uv)
- **Repository:** <https://github.com/yamadashy/repomix>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "yamadashy-repomix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yamadashy-repomix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yamadashy-repomix/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt