self-learn

Name: self-learn
Availability: InStock
Author: sonthanh

Extract book content into atomic Obsidian notes and validate against NotebookLM.

16|9|Updated Apr 4, 2026

Search Tags:#validation #obsidian #notebooklm #knowledge-management #autonomous-learning #book-notes

Ready to run

npx skills add https://github.com/sonthanh/brain-os-plugin --skill self-learn-sonthanh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: self-learn
Source: https://github.com/sonthanh/brain-os-plugin/tree/main/skills/self-learn
Command: npx skills add https://github.com/sonthanh/brain-os-plugin --skill self-learn-sonthanh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ebooklib, beautifulsoup4, lxml, and includes scripts (resource) components.

What problem does it solve?

Turning large books into structured, reusable knowledge by automatically extracting concepts, validating them against NotebookLM, and extending insights into Obsidian.

Core Features & Use Cases

Autonomous extraction of book content into atomic notes in Obsidian.
Validation loop against NotebookLM to ensure fidelity and coverage.
Ingestion and extension into synthesis/applications across domains (knowledge management).

Quick Start

Provide the vault path, EPUB file, and NotebookLM notebook ID to kick off extraction, validation, and ingestion.

Frequently Asked Questions about self-learn

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract book content from an EPUB into Obsidian notes?▼

Extract book content from an EPUB into Obsidian notes by providing the vault path and EPUB file path to trigger autonomous extraction of atomic notes. The process uses ebooklib and beautifulsoup4 to parse and structure the content directly.

Can I validate extracted book notes against NotebookLM for accuracy?▼

Validate extracted book notes against NotebookLM using a built-in validation loop that checks fidelity and coverage against a trusted reference. Supply the NotebookLM ID to coordinate verification and ensure accurate knowledge ingestion.

What's the best way to turn large books into structured knowledge in Obsidian?▼

Turn large books into structured knowledge in Obsidian by automating extraction, validation against NotebookLM, and insight extension across related domains. This autonomous workflow converts EPUB files into reusable atomic notes with robust error handling.

Do I need a specific EPUB format to automate book-to-notes conversion?▼

Automated book-to-notes conversion requires an EPUB file path processed via ebooklib and lxml. The Skill parses the EPUB structure to extract content, validate it against NotebookLM, and ingest atomic notes into the specified Obsidian vault.

How does autonomous learning extend book insights across different domains?▼

Autonomous learning extends book insights by ingesting validated atomic notes into Obsidian and synthesizing applications across related knowledge domains. This extension process builds connections between extracted concepts after the validation loop completes.

Why does book content extraction fail when processing large EPUB files?▼

Book content extraction from large EPUB files includes robust error handling to manage parsing failures. The Skill uses ebooklib and lxml to coordinate extraction and validation, but complex EPUB structures may require verifying the file path and NotebookLM ID inputs.