# neverforget

> neverforget — greatape42069-neverforget. Use this tool when you need to automate complex memory and embedding tasks, such as Sovereign Local Vector Memory and Gemma-300M Embeddings, to solve problems related to data storage and retrieval. It takes in various data inputs and outputs optimized vector embeddings, enabling efficient information management. Ideal for use cases requiring advanced data processing and analysis, particularly in applications where large-scale memory and embedding automation are crucial.

Canonical page: https://skillsregistry.net/skills/greatape42069-neverforget  
JSON: https://api.skillsregistry.net/v1/skills/greatape42069-neverforget

## Description

Automates Sovereign Local Vector Memory and Gemma-300M Embeddings.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-14

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/greatape42069-neverforget)

## 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": "greatape42069-neverforget"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/greatape42069-neverforget` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/greatape42069-neverforget/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