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Agent Skill · 研究检索

first-principles(第一原则)

first-principles 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

first-principles 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 33,144。

总安装 2,399周安装 98GitHub Stars 85下载 768核验 2026-05-01

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请帮我安装这个 Agent Skill:first-principles(第一原则)
来源仓库:https://github.com/guia-matthieu/clawfu-skills
仓库路径:skills/first-principles
安装命令:
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill first-principles
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill first-principles

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

first-principles 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围和维护状态,注意是否会触发联网或文件读写操作。建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/first-principles

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/guia-matthieu/clawfu-skills --skill first-prin…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

first-principles 怎么安装?

在终端执行 npx skills add https://github.com/guia-matthieu/clawfu-skills --skill first-principles。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

first-principles 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

first-principles 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

first-principles 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

first-principles 用的人多吗?

公开数据是累计安装 2,399 次,近一周安装 98 次,下载 768 次,GitHub 85 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

first-principles 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
first-principles

第一原则 · 本页

2,39985只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

First Principles Thinking

Break down complex problems to their fundamental truths, then reason up from there. Master Aristotle's ancient method modernized by Elon Musk to solve seemingly impossible problems.

When to Use This Skill

  • Facing a "impossible" problem where conventional solutions don't work
  • Challenging industry assumptions that everyone accepts as truth
  • Pricing or cost analysis to find dramatic savings (like Musk with batteries)
  • Product innovation when iterating on existing solutions isn't enough
  • Strategic decisions where analogies to other companies may mislead
  • Breaking through mental blocks when you're stuck in conventional thinking

Methodology Foundation

AspectDetails
SourceAristotle (384-322 BC), modernized by Elon Musk
ExpertAristotle called it "the first basis from which a thing is known"; Musk applies it to SpaceX, Tesla, and every venture
Core Principle"Boil things down to the most fundamental truths and say, 'What are we sure is true?'... and then reason up from there." - Elon Musk

What Claude Does vs What You Decide

"Claude structures the breakdown. You challenge the assumptions."
Claude handlesYou provide
Systematically listing assumptionsDomain expertise to validate/invalidate
Breaking down atomic componentsReal-world cost/constraint data
Applying the physics vs convention testJudgment on what's truly immutable
Structuring the rebuild from fundamentalsStrategic decisions on which path to pursue
Generating novel solution frameworksFeasibility assessment and implementation

Remember: First principles is a thinking tool. Claude accelerates the structure; breakthrough insights come from YOUR willingness to question everything.


What This Skill Does

  1. Deconstructs assumptions - Identifies what you think is true vs. what IS true
  2. Reveals hidden constraints - Exposes artificial limitations masquerading as laws
  3. Enables breakthrough solutions - Creates paths invisible to analogical thinkers
  4. Reduces costs dramatically - Finds the true floor price of anything
  5. Builds original insights - Generates conclusions others can't reach by copying

How to Use

Challenge Conventional Wisdom

Apply First Principles Thinking to challenge this assumption:
[describe the "truth" everyone accepts in your industry]

Break it down to fundamental truths and show me what's actually possible.

Analyze Costs or Pricing

Use First Principles to analyze the true cost of:
[product, service, or process]

What are the raw components? What should this actually cost?

Solve an "Impossible" Problem

I'm told [problem] is impossible because [reasons].
Apply First Principles to find a path forward.
What fundamental truths apply here? What assumptions can we challenge?

Instructions

When applying First Principles Thinking, follow this systematic process:

Step 1: Identify the Problem and Current Assumptions

## Current State Analysis

**Problem:** [What are you trying to solve?]

**Current "Truth":** [What does everyone believe about this?]

**Analogies in Use:** [How do people currently reason about this?]
- "It's always been done this way"
- "Company X does it like this"
- "Industry standard is..."

**Hidden Assumptions:** (List everything assumed to be true)
1.
2.
3.
4.
5.

Key Questions:

  • What do "experts" say is impossible or fixed?
  • What have you never questioned about this problem?
  • What would a complete outsider find strange about your assumptions?

Step 2: Break Down to Fundamental Truths

## First Principles Breakdown

For each assumption, ask: "Is this a LAW OF NATURE or a CONVENTION?"

| Assumption | Type | Evidence |
|------------|------|----------|
| [Assumption 1] | Law / Convention | [Why?] |
| [Assumption 2] | Law / Convention | [Why?] |
| [Assumption 3] | Law / Convention | [Why?] |

**Laws of Nature** (Cannot be changed):
- Physics (gravity, thermodynamics, etc.)
- Mathematics (proven theorems)
- Biology (human needs)

**Conventions** (CAN be changed):
- Industry practices
- "Best practices"
- Historical precedent
- Regulatory (can be challenged)
- Social norms

The Physics Test: Ask: "Does the law of physics prevent this?" If no, it's changeable.

Elon Musk's 3-Step Process:

  1. Identify and define current assumptions
  2. Break down the problem into fundamental principles
  3. Create new solutions from scratch

Step 3: Find the Atomic Components

## Atomic Breakdown

**What is this thing MADE OF at the most basic level?**

Example: Battery Pack
├── Lithium: $X per kg
├── Cobalt: $X per kg
├── Nickel: $X per kg
├── Aluminum: $X per kg
├── Steel: $X per kg
├── Polymers: $X per kg
└── Manufacturing energy: $X

**Raw Material Cost:** $___
**Current Market Price:** $___
**Gap to Explain:** $___

The gap represents: convention, inefficiency, margin, or artificial scarcity

For Non-Physical Problems:

  • What are the atomic ACTIONS required?
  • What are the atomic INPUTS needed?
  • What are the atomic CONSTRAINTS (true constraints)?

Step 4: Reason Up from Fundamentals

## Rebuild from First Principles

Starting ONLY from verified truths, ask:

1. **What is physically possible?**
   [Based on laws of nature]

2. **What is the theoretical minimum?**
   [Cost, time, resources, steps]

3. **What new combination could work?**
   [Ignoring how it's "supposed" to be done]

4. **What would we do if starting from scratch?**
   [No legacy constraints]

## New Solution Design

**Fundamental Requirements:**
- [Only TRUE requirements]

**Eliminated "Requirements":**
- [Things assumed necessary but aren't]

**Novel Approach:**
[Description of solution built from first principles]

Step 5: Validate and Iterate

## Validation Checklist

- [ ] Solution respects actual laws of nature
- [ ] No hidden conventional assumptions snuck back in
- [ ] Can explain WHY each element is necessary
- [ ] Theoretical minimum is understood
- [ ] Gap between current and theoretical is explained

## Implementation Path

**What makes this hard (real obstacles):**
1.

**What makes this SEEM hard (false obstacles):**
1.

**First experiment to validate:**
[Smallest test of the core assumption]

Examples

Example 1: SpaceX Rocket Cost Reduction

Context: Elon Musk wanted to buy rockets for Mars mission. Quote: $65 million per rocket.

Input:

"Everyone says rockets cost $65M and that's just what they cost. Is this true? Apply First Principles."

Output:

Current State Analysis:

AssumptionChallenge
Rockets are expensiveConvention - based on historical pricing
Must buy from established vendorsConvention - could manufacture
Rockets are single-useConvention - airplanes aren't single-use
Aerospace requires premium pricingConvention - not physics

First Principles Breakdown:

"What is a rocket made of?"

  • Aerospace-grade aluminum
  • Titanium
  • Copper
  • Carbon fiber
  • Fuel (kerosene, liquid oxygen)

Atomic Cost Analysis:

Raw materials for Falcon 9:
├── Aluminum alloys: ~$35,000
├── Titanium: ~$15,000
├── Carbon fiber: ~$20,000
├── Avionics components: ~$100,000
├── Engines (9x Merlin): ~$1M (at scale)
└── Other materials: ~$30,000

Theoretical material cost: ~$1.2M
Industry price: $65M
Gap: 54x markup

Reasoning Up:

  1. Physics allows: Rockets can be reusable (planes land and fly again)
  2. Minimum cost: ~$1.2M in materials + manufacturing + margin = $5-10M possible
  3. Novel approach:

- Manufacture in-house (eliminate contractor margins) - Design for reusability (eliminate single-use assumption) - Vertical integration (control supply chain)

Result: Falcon 9 now costs ~$28M to launch, with reusability bringing marginal cost to ~$15M. Other companies still charge $100M+.

Why This Works: Musk didn't accept "rockets cost $65M" as a truth. He found it was a convention built on inefficient practices, not physics.


Example 2: Rethinking Employee Training Costs

Context: Company spends $2,000 per employee on annual training. CFO says "that's industry standard."

Input:

"We spend $2,000/employee on training. HR says that's normal. Is it? First Principles analysis please."

Output:

Current State Analysis:

AssumptionType
Training must be instructor-ledConvention
Must use external vendorsConvention
Must be synchronousConvention
Certifications require paid coursesConvention
Training = classroom timeConvention

Atomic Breakdown - What does training actually require?

Training = Transfer of Knowledge + Skill Practice + Verification

├── Knowledge Transfer
│   ├── Content (can be recorded once)
│   ├── Delivery (can be async/digital)
│   └── Q&A (can be AI-assisted or peer)
│
├── Skill Practice
│   ├── Exercises (can be self-paced)
│   ├── Feedback (can be automated or peer)
│   └── Repetition (individual, no instructor needed)
│
└── Verification
    ├── Testing (automated)
    └── Observation (sampling, not 100%)

Cost Breakdown:

Current $2,000/person:
├── Vendor fees: $800 (40%)
├── Instructor time: $500 (25%)
├── Travel/facilities: $400 (20%)
├── Materials: $200 (10%)
└── Admin overhead: $100 (5%)

First Principles minimum:
├── One-time content creation: $50/person (amortized)
├── Platform/LMS: $30/person/year
├── Peer mentoring time: $100/person
├── Verification tools: $20/person
└── Buffer: $50/person

Theoretical minimum: ~$250/person

Reasoning Up - New Model:

  1. Create content once: Record best trainer explaining each topic. Amortize over 5 years.
  2. Async delivery: Employees learn at their pace, no scheduling costs
  3. AI Q&A: Claude/GPT handles 80% of questions
  4. Peer practice: Employees practice together (free)
  5. Automated verification: Digital assessments, spot-check practical

New Solution:

  • Year 1: $500/person (content creation investment)
  • Year 2+: $250/person (75% reduction maintained)

Validation:

  • Still transfers knowledge? Yes
  • Still builds skills? Yes (peer practice)
  • Still verifies? Yes (automated + sampling)
  • Respects laws of learning? Yes

Checklists & Templates

First Principles Analysis Template

## First Principles Analysis: [Topic]

### 1. THE ASSUMPTION AUDIT

**What "everyone knows" about this:**
1.
2.
3.

**Source of these beliefs:**
- [ ] Physics/Math (unchangeable)
- [ ] Biology (unchangeable)
- [ ] Regulation (changeable but hard)
- [ ] Industry practice (changeable)
- [ ] Historical precedent (changeable)
- [ ] Someone told me (verify)

### 2. THE ATOMIC BREAKDOWN

**Physical components:**
- Component 1: [cost/quantity]
- Component 2: [cost/quantity]
- ...

**Required actions (minimum):**
1.
2.
3.

**True constraints (laws of nature):**
-

**False constraints (conventions):**
-

### 3. THE REBUILD

**If we started from scratch with only true constraints:**

**Theoretical minimum:** [cost/time/resources]

**Current state:** [cost/time/resources]

**Gap:** [X%]

**Gap explained by:**
- [ ] Inefficiency
- [ ] Margin/profit
- [ ] Convention
- [ ] Lack of innovation
- [ ] True complexity (irreducible)

### 4. THE NEW SOLUTION

**Core insight:**

**New approach:**

**First experiment to test:**

**What could go wrong:**

Quick First Principles Checklist

## Before Accepting Any "Truth"

□ Is this a law of physics/math/biology?
□ Or is it "how things are done"?
□ Who benefits from this being "true"?
□ What would a complete outsider think?
□ Has anyone ever done it differently?
□ What would this look like if we started fresh?

## The Musk Test

□ Can I explain the atomic components?
□ Do I know the theoretical minimum cost?
□ Is there a 10x gap I can't explain?
□ Am I reasoning by analogy or from fundamentals?

Common First Principles Domains

## Where to Apply First Principles

### COST REDUCTION
- What are the raw materials?
- What is labor actually required?
- What steps can be eliminated?

### PRODUCT DESIGN
- What does the user fundamentally need?
- What is convention vs. requirement?
- What would this look like in 10 years?

### PROCESS IMPROVEMENT
- What are the required steps (physics)?
- What are the assumed steps (convention)?
- What is the theoretical minimum time?

### PRICING
- What is the cost to deliver?
- What is convention in pricing?
- What would a new entrant charge?

### STRATEGY
- What does the customer fundamentally want?
- What is assumed about competition?
- What constraints are real vs. imagined?

Red Flags: When You're NOT Using First Principles

## Warning Signs

You're reasoning by ANALOGY (not First Principles) when you say:

- [ ] "Industry standard is..."
- [ ] "Competitors do it this way..."
- [ ] "We've always done it like this..."
- [ ] "Best practice says..."
- [ ] "Experts recommend..."
- [ ] "It's common knowledge that..."
- [ ] "That's just how it works..."

None of these are REASONS. They're appeals to convention.

## The Fix

For each statement above, ask:
"But WHY? What fundamental truth makes this necessary?"

If you can't answer with physics, math, or biology - it's changeable.

Skill Boundaries (Frontier Recognition)

This skill excels for:

  • Cost reduction analysis (finding the "true floor")
  • Challenging industry assumptions everyone accepts
  • Product innovation beyond incremental improvements
  • Strategic decisions where analogies may mislead
  • Pricing strategy (understanding what things SHOULD cost)

This skill is NOT ideal for:

  • Quick decisions where speed matters more than depth → Use heuristics instead
  • Execution tasks where the path is already clear → First principles is overkill
  • Emotional/relationship problems → Not everything reduces to physics
  • Regulatory constraints that truly can't be changed → Accept and work within
  • Pure creative work where logic isn't the bottleneck → Use different creative tools

Quality Checkpoints

Before accepting the analysis, verify:

  • You've genuinely identified the REAL alternatives (not just direct competitors)
  • "Laws of physics" are actually physics, not just hard conventions
  • The atomic cost breakdown uses real market data
  • Novel solution doesn't sneak conventional assumptions back in
  • You have a way to validate the first insight before committing

Iteration Guide

"First principles is a dialogue, not a one-shot analysis."

Recommended Iteration Pattern

PassFocusQuestions to Ask
1stAssumption dump"List every assumption in this problem"
2ndChallenge"For each, is it physics or convention?"
3rdAtomic"What is this actually made of / what does it actually require?"
4thRebuild"Starting from only true constraints, what's possible?"

Useful Follow-up Prompts

After the first analysis, try:

  • "I think [assumption] is actually physics because [reason]. Convince me otherwise."
  • "The atomic breakdown is missing [component]. Redo with this included."
  • "Everyone accepts [constraint] as given. Push harder on whether it's truly immutable."
  • "The 'novel solution' still feels conventional. What would be a 10x different approach?"

Learning Curve

UsageWhat You'll Experience
1st useStructured assumption breakdown, discover the method
3rd useYou catch yourself reasoning by analogy and stop
10th useFirst principles becomes a reflex when facing "impossible" problems

Pro tip: The biggest gains come when you're willing to look stupid by questioning "obvious" truths. If everyone already knows it's changeable, it's not a first principles insight.


References

  • Aristotle. "Posterior Analytics" (~350 BC) - Original first principles concept
  • Musk, Elon. Various interviews on SpaceX methodology (2012-present)
  • Clear, James. "First Principles: Elon Musk on the Power of Thinking for Yourself"
  • Farnam Street. "First Principles: The Building Blocks of True Knowledge"
  • Munger, Charlie. "Elementary Worldly Wisdom" - Adjacent mental model thinking

Related Skills


Skill Metadata

  • Mode: cyborg
name: first-principles
category: strategy
subcategory: problem-solving
version: 2.0
author: GUIA
source_expert: Aristotle, Elon Musk
source_work: Posterior Analytics (Aristotle), SpaceX methodology (Musk)
difficulty: intermediate
mode: both  # Both = can be structured (Centaur) or exploratory (Cyborg) depending on use
estimated_value: $2,000 strategy consulting session
tags: [problem-solving, innovation, cost-reduction, assumptions, Musk, thinking]
created: 2026-01-25
updated: 2026-01-28

*This skill is part of the GUIA Premium Marketing Skills Library — the 201 layer that bridges AI basics and technical implementation.*

平台分布

Codex

36.68%
按下载量换算282

Claude

29.87%
按下载量换算229

Cursor

19.15%
按下载量换算147

Gemini CLI

9.12%
按下载量换算70

安全审计

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Socket

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Snyk

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只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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