# smithery-weather

> Use this tool when you need to manage and track changes in your projects, as it provides version control functionality through git, helping to solve collaboration and backup problems by allowing multiple users to contribute and revert changes as needed, with inputs including code repositories and outputs including tracked revisions and updates. It is particularly useful in software development and collaborative coding contexts.

Canonical page: https://skillsregistry.net/skills/connect2puneett-smithery-weather  
JSON: https://api.skillsregistry.net/v1/skills/connect2puneett-smithery-weather

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/connect2puneett/smithery-weather)

## 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": "connect2puneett-smithery-weather"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/connect2puneett-smithery-weather` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/connect2puneett-smithery-weather/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