learning-first-principles

Q: How do I install learning-first-principles?

Run npx skills add https://github.com/hexbee/hello-skills --skill learning-first-principles in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/learning-first-principles/ (personal) or .claude/skills/learning-first-principles/ (project).

by hexbeeEducation & Science

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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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/hexbee/hello-skills --skill learning-first-principles

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads learning-first-principles automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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)

FAQ

What does the learning-first-principles skill do?

How do I install learning-first-principles?

Run npx skills add https://github.com/hexbee/hello-skills --skill learning-first-principles in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/learning-first-principles/ (personal) or .claude/skills/learning-first-principles/ (project).

Which AI agents can use learning-first-principles?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is learning-first-principles safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains learning-first-principles?

It is published by hexbee in hexbee/hello-skills. It has 76 recorded installs.

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