# repocode

> repocode — nextbridgehq-repocode. Use this tool when you need to optimize AI coding workflows by compressing and ranking large codebases into manageable context files. Repocode analyzes and streamlines repositories, solving issues of data overload and inefficient model training. It takes in git repositories as input and outputs optimized context files for use in LLMs, AI coding assistants, and MCP workflows.

Canonical page: https://skillsregistry.net/skills/nextbridgehq-repocode  
JSON: https://api.skillsregistry.net/v1/skills/nextbridgehq-repocode

## Description

AI codebase context tool that analyzes, ranks, and compresses repositories into optimized context files for LLMs, AI coding assistants, and MCP workflows.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nextbridgehq/repocode)

## 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": "nextbridgehq-repocode"
    }
  }
}
```

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