# Corbell

> Corbell — corbell-ai-corbell. Use this tool when you need to automate spec generation and review for backend teams, solving issues with manual spec creation and code inconsistencies. Corbell analyzes multi-repo code graphs to provide intelligent insights, taking Git data as input and outputting optimized specs for production-ready code. Ideal for teams shipping to production, Corbell streamlines spec management and ensures accuracy.

Canonical page: https://skillsregistry.net/skills/corbell-ai-corbell  
JSON: https://api.skillsregistry.net/v1/skills/corbell-ai-corbell

## Description

AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/Corbell-AI/Corbell)

## 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": "corbell-ai-corbell"
    }
  }
}
```

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