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Three-Layer Wisdom Extraction

A structured framework for extracting universal philosophical principles from concrete technical experiences. Built for use with Claude Code skills system.

The Three Layers

Layer What it captures Output
Layer 1: Breakthrough Path Raw timeline of attempts, outcomes, decision points Chronological list with metrics
Layer 2: Domain Knowledge Field-specific insights, diagnostics, boundary conditions Decision trees, comparison tables
Layer 3: Universal Principles Cross-domain patterns that transfer across fields Named principles with validation

Core Tool: Five Abstraction Questions

Each Layer 2 insight is systematically processed through:

  1. INVERSION - What is the opposite, and when would it be correct?
  2. GENERALIZATION - Strip domain terms, what is the abstract structure?
  3. TRANSFER - Where else does this pattern appear? (2+ domains)
  4. PARADOX - What contradiction does this resolve?
  5. META - What does this reveal about the problem-solving process?

Validation

Every Layer 3 principle must pass all six checks:

  • Domain independence (no jargon)
  • Predictive (would knowing this have changed your approach?)
  • Multi-domain (2+ fields)
  • Non-trivial (not obvious)
  • Actionable (concrete change suggested)
  • Falsifiable (evidence that would disprove it)

Included Principles

references/principles-from-competitions.md contains 11 validated universal principles extracted from two projects:

  • Kaggle Store Sales (6 principles): Distribution Mismatch, Decoupling, Context-Dependent Tool, Workaround Trap, Diagnosis-First, Duality
  • Knowledge System Redesign (5 principles): Meta-Knowledge Trap, Pruning-Over-Adding, External Validation, Maintenance Debt, Invisibility of Accumulation

Academic Foundations

  • Reflexion (Shinn 2023)
  • ExpeL (Zhao 2024)
  • Common Wisdom Model (Grossmann 2020)
  • Structure-Mapping Theory (Gentner 1983)
  • Multi-Actor Insight Extraction (Nature Scientific Reports, 2025)

Installation

Copy the three-layer-wisdom-extraction/ directory to ~/.claude/skills/:

cp -r three-layer-wisdom-extraction ~/.claude/skills/

Related Skills

  • claudeception - Layer 2 domain knowledge extraction
  • skill-refresh - Knowledge maintenance over time

License

MIT

About

Three-layer wisdom extraction framework: events → domain knowledge → universal principles. Academic-grounded methodology for extracting cross-domain insights from technical experiences.

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