# memory

> memory — spideynolove-memory. Use this tool when you need to recall and manage information, such as storing and retrieving data, tracking changes, and versioning files, to solve problems related to data management and collaboration. It takes in inputs like text, files, and commands, and outputs stored data, version history, and retrieval results. Ideal for use cases like tracking project progress, collaborating on documents, and maintaining a record of changes over time.

Canonical page: https://skillsregistry.net/skills/spideynolove-memory  
JSON: https://api.skillsregistry.net/v1/skills/spideynolove-memory

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/spideynolove/memory)

## 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": "spideynolove-memory"
    }
  }
}
```

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