learning-first-principles

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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 → Expression restructuring → Logical understanding → Practice.

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Sourcehexbee/hello-skills

Added on2026-02-26

NPX Install

npx skill4agent add hexbee/hello-skills learning-first-principles

SKILL.md Content

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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)