firstprinciples by danielmiessler
First principles analysis. USE WHEN first principles, fundamental, root cause, decompose. SkillSearch('firstprinciples') for docs.
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Updated Feb 27, 2026, 11:27 PM
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Repository Personal_AI_Infrastructure
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Updated At Feb 27, 2026, 11:27 PM
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---
name: FirstPrinciples
description: First principles analysis. USE WHEN first principles, fundamental, root cause, decompose. SkillSearch('firstprinciples') for docs.
---
## Customization
**Before executing, check for user customizations at:**
`~/.claude/skills/CORE/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.
# 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
## Voice Notification
**When executing a workflow, do BOTH:**
1. **Send voice notification**:
```bash
curl -s -X POST http://localhost:8888/notify \
-H "Content-Type: application/json" \
-d '{"message": "Running the WORKFLOWNAME workflow from the FirstPrinciples skill"}' \
> /dev/null 2>&1 &
```
2. **Output text notification**:
```
Running the **WorkflowName** workflow from the **FirstPrinciples** skill...
```
**Full documentation:** `~/.claude/skills/CORE/SkillNotifications.md`
## Workflow Routing
Route to the appropriate workflow based on the request.
**When executing a workflow, output this notification directly:**
```
Running the **WorkflowName** workflow from the **FirstPrinciples** skill...
```
- 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.
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