# karajan-code

> karajan-code — manufosela-karajan-code. Use this tool when you need to ensure high-quality code generated by AI, with features like test-driven development, cross-AI review, and git gates to prevent errors. It solves problems of code reliability and consistency, providing a governed AI coding process for various AI models like Claude and Codex. It integrates with existing subscriptions and git workflows, outputting reliable code through a managed MCP server.

Canonical page: https://skillsregistry.net/skills/manufosela-karajan-code  
JSON: https://api.skillsregistry.net/v1/skills/manufosela-karajan-code

## Description

Your AI writes the code; Karajan governs how it happens: TDD-first method, cross-AI review on every commit and git gates that make a false green impossible. Works with Claude, Codex, Gemini, OpenCode and Aider, on the subscriptions you already pay for. MCP server included.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/manufosela/karajan-code)

## 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": "manufosela-karajan-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manufosela-karajan-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manufosela-karajan-code/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