# in-memoria

> Use this tool when you need to manage and interact with Git repositories, solving version control problems and streamlining development workflows. It provides an interface for executing Git commands, taking repository data as input and producing version control outputs. Ideal for use in development contexts where Git repository management is required.

Canonical page: https://skillsregistry.net/skills/pi22by7-in-memoria  
JSON: https://api.skillsregistry.net/v1/skills/pi22by7-in-memoria

## Trust

- **Trust score (0–1):** 0.60
- **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/pi22by7/in-memoria)
- **Repository:** <https://github.com/pi22by7/In-Memoria>

## 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": "pi22by7-in-memoria"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pi22by7-in-memoria` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pi22by7-in-memoria/pull`

---
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