FirstPrinciples
Physics-based reasoning framework (Musk/Elon methodology) that deconstructs problems to irreducible fundamental truths rather than reasoning by analogy. Three-step structure: DECONSTRUCT (break to constituent parts and actual values), CHALLENGE (classify every element as hard constraint / soft constraint / unvalidated assumption โ only physics is truly immutable), RECONSTRUCT (build optimal solution from fundamentals alone, ignoring inherited form). Outputs: constituent-parts breakdown, constraint classification table, and reconstructed solution with key insight. Three workflows: Deconstruct.md, Challenge.md, Reconstruct.md. Integrates with RedTeam (attack assumptions before deploying adversarial agents), Security (decompose threat model), Architecture (challenge design constraints), and Pentesters (decompose assumed security boundaries). Other skills invoke via: Challenge on all stated constraints โ classify as hard/soft/assumption. Cross-domain synthesis: solutions from unrelated fields often apply once the fundamental truths are exposed. NOT FOR incident investigation and causal chains (use RootCauseAnalysis). NOT FOR structural feedback loops (use SystemsThinking). USE WHEN first principles, fundamental truths, challenge assumptions, is this a real constraint, rebuild from scratch, what are we actually paying for, what is this really made of, start over, physics first, question everything, reasoning by analogy, is this really necessary.
What this skill does
## 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.
## ๐จ 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:31337/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 โ `Workflows/Deconstruct.md`
- Challenge assumptions systematically โ `Workflows/Challenge.md`
- Rebuild solution from fundamentals โ `Workflows/Reconstruct.md`
## The 3-Step Framework
```
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ STEP 1: DECONSTRUCT โ
โ "What is this really made of?" โ
โ Break down to constituent parts and fundamental truths โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ STEP 2: CHALLENGE โ
โ "Is this a real constraint or an assumption?" โ
โ Classify each element as hard/soft constraint โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ STEP 3: RECONSTRUCT โ
โ "Given only the truths, what's optimal?" โ
โ Build new solution from fundamentals, ignoring form โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
```
## 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
โ Use FirstPrinciples/Challenge on all stated constraints
โ Classify each as hard/soft/assumption
## When Stuck
โ Use FirstPrinciples/Deconstruct to break down the problem
โ Use FirstPrinciples/Reconstruct to rebuild from fundamentals
## For Adversarial Analysis
โ RedTeam uses FirstPrinciples/Challenge to attack assumptions
โ 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 Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context โ no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes โ information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development โ guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.