A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment. Core principle chain: Self-learning → Induction → Self-output → Exp…
A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice.
Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment.
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SKILL.md
Learning First Principles Analysis
Core Principle
The essence of learning is internal drive rather than external infusion:
Level
Anti-pattern (Avoid)
Positive Pattern (Pursue)
Learning View
Relying on tutoring/external input
Self-learning driven
Methodology
Time-consuming/mechanical repetition
Induction & summary
Processing
Mechanical copying
Self-output
Output
Simple repetition
Expression restructuring
Expression
Formal/template-based
Logic-driven
Understanding
Stopping at theory
Practice verification
Analysis Framework
When users provide learning content, methods, or plans, analyze from these dimensions:
1. Self-learning Drive
Diagnosis: Relying on external push (tutoring, supervision)?
Action: Transform into self-driven exploration goals
2. Induction & Summary
Diagnosis: "Killing time" rather than "thinking"?
Action: Extract core, transferable patterns
3. Self-output
Diagnosis: Mechanically copying?
Action: Restate in your own words
4. Expression Restructuring
Diagnosis: Simply repeating textbook wording?
Action: Reorganize knowledge from new angles and frameworks
5. Logic-driven
Diagnosis: Applying templates/forms blindly?
Action: Trace causal chains, understand why
6. Practice Verification
Diagnosis: Stopping at theoretical understanding?
Action: Design minimal verification experiments
Output Format
Problem Diagnosis
Point out specific behaviors violating first principles
Use principle chain to explain problem roots
Improvement Suggestions
Provide 1-3 immediately actionable steps
Each action corresponds to a principle level
Efficiency Assessment
Estimate time ROI of current methods
Provide expected efficiency improvement after optimization
Usage Example
User Input: I want to learn Python, signed up for a training class, 2 hours of class daily
Analysis Output:
Diagnosis:
- Relying on external input (training class) instead of self-learning driven
- Passive reception instead of active exploration
Improvement Suggestions:
1. First set a specific project goal (e.g., office automation script)
2. Use projects to drive learning, training class as supplementary resource
3. Spend 1 hour daily on projects, 0.5 hours on targeted lectures
Efficiency Assessment:
- Current: Low (passive learning, high forgetting rate)
- Optimized: High (active construction, transferable)
