# CodeBrain

> CodeBrain — tschonsen-codebrain. Use this tool when you need to offload bulk coding tasks from Claude Code to a local large language model (LLM) for efficient drafting, polishing, and explanation. CodeBrain solves problems of rate limits and context budget constraints by freeing up Claude to focus on reasoning while the local model handles bulk work. It takes in coding tasks as input and outputs polished code, ideal for use cases involving large-scale coding projects or repetitive coding tasks.

Canonical page: https://skillsregistry.net/skills/tschonsen-codebrain  
JSON: https://api.skillsregistry.net/v1/skills/tschonsen-codebrain

## Description

An MCP server that offloads bulk work from Claude Code to a local LLM (Qwen2.5-Coder 14B via Ollama). Claude stays the reasoner; the local model takes the bulk drafting, polishing, and explanation work to free up rate limits and context budget.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Tschonsen/CodeBrain)

## 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": "tschonsen-codebrain"
    }
  }
}
```

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