FirstPrinciples
Decompose to axioms, challenge inherited assumptions, reconstruct from verified truths. USE WHEN first principles, fundamental, root cause, decompose, challenge assumptions, rebuild from scratch.
Best use case
FirstPrinciples is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Decompose to axioms, challenge inherited assumptions, reconstruct from verified truths. USE WHEN first principles, fundamental, root cause, decompose, challenge assumptions, rebuild from scratch.
Teams using FirstPrinciples should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/FirstPrinciples/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How FirstPrinciples Compares
| Feature / Agent | FirstPrinciples | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Decompose to axioms, challenge inherited assumptions, reconstruct from verified truths. USE WHEN first principles, fundamental, root cause, decompose, challenge assumptions, rebuild from scratch.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
## Customization
**Before executing, check for user customizations at:**
`~/.claude/PAI/USER/SKILLCUSTOMIZATIONS/FirstPrinciples/`
If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.
## 🚨 MANDATORY: Voice Notification (REQUIRED BEFORE ANY ACTION)
**You MUST send this notification BEFORE doing anything else when this skill is invoked.**
1. **Send voice notification**:
```bash
curl -s -X POST http://localhost:8888/notify \
-H "Content-Type: application/json" \
-d '{"message": "Running the WORKFLOWNAME workflow in the FirstPrinciples skill to ACTION"}' \
> /dev/null 2>&1 &
```
2. **Output text notification**:
```
Running the **WorkflowName** workflow in the **FirstPrinciples** skill to ACTION...
```
**This is not optional. Execute this curl command immediately upon skill invocation.**
# FirstPrinciples Skill
Foundational reasoning methodology based on Elon Musk's physics-based thinking framework. Deconstructs problems to fundamental truths rather than reasoning by analogy.
## Core Concept
**Reasoning by Analogy** (default, often wrong):
- "How did we solve something similar?"
- "What do others do?"
- Copies existing solutions with slight variations
**Reasoning from First Principles** (this skill):
- "What are the fundamental truths here?"
- "What is this actually made of?"
- Rebuilds solutions from irreducible facts
## When to Use
- **Architects**: Challenge "is this actually a constraint or just how we've always done it?"
- **Pentesters**: Identify actual attack surfaces vs. assumed security boundaries
- **RedTeam**: Sharpen adversarial analysis by deconstructing assumptions
- **Engineers**: When stuck, rebuild from fundamentals
- **Any skill**: When inherited assumptions may be limiting the solution space
## Workflow Routing
Route to the appropriate workflow based on the request.
**When executing a workflow, output this notification directly:**
```
Running the **WorkflowName** workflow in the **FirstPrinciples** skill to ACTION...
```
- Break problem into fundamental parts → `Workflows/Deconstruct.md`
- Challenge assumptions systematically → `Workflows/Challenge.md`
- Rebuild solution from fundamentals → `Workflows/Reconstruct.md`
## The 3-Step Framework
```
┌─────────────────────────────────────────────────────────┐
│ STEP 1: DECONSTRUCT │
│ "What is this really made of?" │
│ Break down to constituent parts and fundamental truths │
└─────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────┐
│ STEP 2: CHALLENGE │
│ "Is this a real constraint or an assumption?" │
│ Classify each element as hard/soft constraint │
└─────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────┐
│ STEP 3: RECONSTRUCT │
│ "Given only the truths, what's optimal?" │
│ Build new solution from fundamentals, ignoring form │
└─────────────────────────────────────────────────────────┘
```
## Key Questions
### Deconstruction Questions
- What is this actually made of?
- What are the constituent parts?
- What is the actual cost/value of each part?
- What would a physicist say about this?
### Challenge Questions
- Is this a hard constraint (physics/reality) or soft constraint (policy/choice)?
- What if we removed this constraint entirely?
- Who decided this was a constraint and why?
- What evidence supports this assumption?
### Reconstruction Questions
- If we started from scratch with only the fundamental truths, what would we build?
- What field has solved an analogous problem differently?
- Are we optimizing function or form?
- What's the simplest solution that satisfies only the hard constraints?
## Constraint Classification
When analyzing any system, classify constraints:
| Type | Definition | Example | Can Change? |
|------|------------|---------|-------------|
| **Hard** | Physics/reality | "Data can't travel faster than light" | No |
| **Soft** | Policy/choice | "We always use REST APIs" | Yes |
| **Assumption** | Unvalidated belief | "Users won't accept that UX" | Maybe false |
**Rule**: Only hard constraints are truly immutable. Soft constraints and assumptions should be challenged.
## Integration Pattern
Other skills invoke FirstPrinciples like this:
```markdown
## Before Analysis
→ Use FirstPrinciples/Challenge on all stated constraints
→ Classify each as hard/soft/assumption
## When Stuck
→ Use FirstPrinciples/Deconstruct to break down the problem
→ Use FirstPrinciples/Reconstruct to rebuild from fundamentals
## For Adversarial Analysis
→ RedTeam uses FirstPrinciples/Challenge to attack assumptions
→ Pentester uses FirstPrinciples/Deconstruct on security model
```
## Examples
### Example 1: Architecture Decision
**Problem**: "We need microservices because that's how modern apps are built"
**First Principles Analysis**:
1. **Deconstruct**: What does this app actually need? (team size, scale, complexity)
2. **Challenge**: Is "microservices" a hard constraint? No - it's reasoning by analogy
3. **Reconstruct**: Given our 3-person team and moderate scale, a modular monolith optimizes for our actual constraints
### Example 2: Security Assessment
**Problem**: "The firewall protects the internal network"
**First Principles Analysis**:
1. **Deconstruct**: What is the firewall actually doing? (packet filtering on specific ports)
2. **Challenge**: Does packet filtering = protection? What about authorized ports? Insider threats?
3. **Reconstruct**: Protection requires defense in depth - firewall is one layer, not "the" protection
### Example 3: Cost Optimization
**Problem**: "Cloud hosting costs $10,000/month - that's just what it costs"
**First Principles Analysis**:
1. **Deconstruct**: What are we actually paying for? (compute, storage, bandwidth, managed services)
2. **Challenge**: Is managed Kubernetes a hard requirement? Is this region required?
3. **Reconstruct**: Actual compute needs = $2,000. The other $8,000 is convenience we're choosing to pay for
## Output Format
When using FirstPrinciples, output should include:
```markdown
## First Principles Analysis: [Topic]
### Deconstruction
- **Constituent Parts**: [List fundamental elements]
- **Actual Values**: [Real costs/metrics, not market prices]
### Constraint Classification
| Constraint | Type | Evidence | Challenge |
|------------|------|----------|-----------|
| [X] | Hard/Soft/Assumption | [Why] | [What if removed?] |
### Reconstruction
- **Fundamental Truths**: [Only the hard constraints]
- **Optimal Solution**: [Built from fundamentals]
- **Form vs Function**: [Are we optimizing the right thing?]
### Key Insight
[One sentence: what assumption was limiting us?]
```
## Principles
1. **Physics First** - Real constraints come from physics/reality, not convention
2. **Function Over Form** - Optimize what you're trying to accomplish, not how it's traditionally done
3. **Question Everything** - Every assumption is guilty until proven innocent
4. **Cross-Domain Synthesis** - Solutions from unrelated fields often apply
5. **Rebuild, Don't Patch** - When assumptions are wrong, start fresh rather than fixing
## Anti-Patterns to Avoid
- **Reasoning by Analogy**: "Company X does it this way, so should we"
- **Accepting Market Prices**: "Batteries cost $600/kWh" without checking material costs
- **Form Fixation**: Improving the suitcase instead of inventing wheels
- **Soft Constraint Worship**: Treating policies as physics
- **Premature Optimization**: Optimizing before understanding fundamentals
---
**Attribution**: Framework derived from Elon Musk's first principles methodology as documented by James Clear, Mayo Oshin, and public interviews.Related Skills
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