# lilbee

> lilbee — anumeet-git-lilbee. Use this tool when you need to efficiently handle tasks in Python with robust type support and reliable testing. It solves problems related to code quality and maintainability by providing continuous testing and complete code coverage. Ideal for projects requiring high reliability, lilbee takes in Python code and outputs efficient, well-tested solutions, integrating seamlessly with git for version control.

Canonical page: https://skillsregistry.net/skills/anumeet-git-lilbee  
JSON: https://api.skillsregistry.net/v1/skills/anumeet-git-lilbee

## Description

Provide a simple Python library to handle tasks efficiently with full type support, continuous testing, and complete code coverage.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Anumeet-git/lilbee)

## 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": "anumeet-git-lilbee"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anumeet-git-lilbee` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anumeet-git-lilbee/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