# cheese-brain

> cheese-brain — mhugo22-cheese-brain. Use this tool when you need to efficiently manage and retrieve knowledge across multiple entity types, such as projects, contacts, and tools. The cheese-brain system solves problems of data fragmentation and slow search, providing fast retrieval capabilities for over 22 entity types. It accepts various data inputs and outputs relevant information, making it ideal for use cases that require quick access to organized knowledge.

Canonical page: https://skillsregistry.net/skills/mhugo22-cheese-brain  
JSON: https://api.skillsregistry.net/v1/skills/mhugo22-cheese-brain

## Description

DuckDB-powered knowledge management system for fast retrieval across 22+ entity types (projects, contacts, tools.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/mhugo22-cheese-brain)

## 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": "mhugo22-cheese-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mhugo22-cheese-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mhugo22-cheese-brain/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