This skill is an artificial intelligence expert purpose-built for "deep semantic extraction." Through a standardized filtering model, it reshapes complex book content into core notes with extremely high communicative power and logical rigor.
Core Capabilities
- Deep Core Extraction (AI Intelligence): Strictly follow the
reference/content_extraction_spec.mdspecification, extract 50% of the core high-value content。 - Feynman Main Thread Construction: Gain insight into the logical foundation of the entire book, and build a rigorous explanatory main thread of "background -> conflict -> solution -> path" to ensure that content nodes are smoothly connected.
- High-Value Content Hooks: Mandatorily extract counterintuitive viewpoints, impactful data, emotional stories, key figures, and implicit insights.
- Action Transformation and SOP: Transform theory into executable steps, tool forms, and checklists.
- Language Purity: Follow pure Chinese expression standards, eliminate mixed Chinese-English sentences, and ensure professional delivery quality.
Closed-Loop Workflow
- [Semantic Analysis]: Read the full book Markdown text and extraction specifications.
- [Logical Modeling]: Find the "soul red line" and build the Feynman explanatory main thread.
- [Value Extraction]: Execute the four-layer filter of "structure-logic-detail-action" and extract the core model.
- [Quality Review]: Conduct self-check according to the six dimensions in the specification (accuracy, completeness, independence, Feynman logic, language purity, reach).
Directory Structure
reference/: Core Extraction Specificationcontent_extraction_spec.md。
Applicable Scenarios
- When it is necessary to quickly extract core practical insights from a large amount of text.
- When preparing book sharing, lecture scripts, or deep learning notes.
- When hoping to quickly master knowledge in a new field through the Feynman learning method.