# book-brain

> book-brain — deepseekoracle-book-brain. Use this tool when you need to manage and reference complex knowledge bases, as it provides a 3-brain filesystem and memory reference utility to organize and retrieve information for LYGO-based agents, solving problems of data overload and disorganization. It accepts inputs of knowledge data and outputs organized references, enabling efficient information retrieval. Ideal for use in applications where agents require robust knowledge management and recall capabilities.

Canonical page: https://skillsregistry.net/skills/deepseekoracle-book-brain  
JSON: https://api.skillsregistry.net/v1/skills/deepseekoracle-book-brain

## Description

3-brain filesystem + memory reference utility for LYGO-based agents.

## 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:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/deepseekoracle-book-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": "deepseekoracle-book-brain"
    }
  }
}
```

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