# autocal

> Use this tool when you need to automate Git-related tasks, such as repository management and version control. Autocal solves problems like streamlining development workflows and reducing manual errors, accepting Git commands as inputs and producing automated outputs. It is ideal for use in software development contexts where efficient Git management is crucial.

Canonical page: https://skillsregistry.net/skills/ssamjjcsh-autocal  
JSON: https://api.skillsregistry.net/v1/skills/ssamjjcsh-autocal

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ssamjjcsh/autocal)
- **Repository:** <https://github.com/ssamjjcsh/autocal>

## 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": "ssamjjcsh-autocal"
    }
  }
}
```

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