book-brain
3-brain filesystem + memory reference utility for LYGO-based agents. Use to design, organize, and maintain a durable file/folder memory system (indexes, reference .txt links, logging, retrieval) without overwriting existing data. Works best on fresh OpenClaw/Clawhub Havens with the full LYGO Champion stack, but is compatible with any agent that can read/write files.
Why use this skill?
Organize your OpenClaw agent's memory and filesystem using the 3-brain model. Keep your Haven clean, searchable, and structured with Book Brain.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/deepseekoracle/book-brainWhat This Skill Does
BOOK BRAIN acts as a structural architect for your OpenClaw agent, implementing a sophisticated 3-brain filesystem model. It serves as a navigational framework rather than a persona, guiding your agent to maintain a logical, hierarchical storage system. Instead of allowing files to accumulate in a single directory, it enforces the separation of 'Working' (ephemeral), 'Library' (structured), and 'Outer' (external links) brains. The skill helps you organize your project environment into clear folders like memory/, reference/, and state/, ensuring that information is retrievable, human-readable, and future-proofed for long-term agent autonomy.
Installation
To install the Book Brain utility, use the following command in your terminal or command-line enabled OpenClaw environment:
clawhub install openclaw/skills/skills/deepseekoracle/book-brain
This command pulls the latest logic for file indexing and directory management from the official OpenClaw repositories.
Use Cases
- Haven Initialization: Perfect for setting up a fresh OpenClaw/Clawhub Haven where you want to establish an organized data structure from day one.
- Chaos Mitigation: Use this when your existing workspace has become cluttered. Book Brain will help you sort existing files into a clean hierarchy without destroying existing, critical data.
- Knowledge Persistence: Ideal for users building long-running agents that need to reference old documents, protocols, or session logs months after they were created.
- Structured Research: If you are conducting complex tasks involving deep research, this skill forces the agent to keep reference materials and 'brainwaves' separated from transient scratch files.
Example Prompts
- 'Book Brain, audit my current root directory and suggest a migration plan to move files into a proper /memory and /reference structure without overwriting existing data.'
- 'I need to start a new project on LYGO. Initialize the standard 3-brain folder structure in my current working directory.'
- 'Create a new reference index in the /reference folder for my recent research on AI agents and link it to the existing log files in /memory.'
Tips & Limitations
- Additive Design: Book Brain is designed to be additive. It prioritizes creating new folders over deleting or overwriting old ones. Always review proposed move operations before finalizing.
- Compatibility: While optimized for LYGO/Eternal Haven setups, it is compatible with any OpenClaw environment that grants the agent read/write permissions.
- Link vs Copy: For external documents, use Book Brain to create
.txtreference files containing links rather than duplicating large data volumes, which helps save disk space and reduces noise during searches.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-deepseekoracle-book-brain": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read
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