axiom-app-composition▌
charleswiltgen/axiom · updated Apr 8, 2026
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Use this skill when:
App Composition
When to Use This Skill
Use this skill when:
- Structuring your @main entry point and root view
- Managing authentication state (login → onboarding → main)
- Switching between app-level states without flicker
- Handling scene lifecycle events (scenePhase)
- Restoring app state after termination
- Deciding when to split into feature modules
- Coordinating between multiple windows (iPad, axiom-visionOS)
Example Prompts
| What You Might Ask | Why This Skill Helps |
|---|---|
| "How do I switch between login and main screens?" | AppStateController pattern with validated transitions |
| "My app flickers when switching from splash to main" | Flicker prevention with animation coordination |
| "Where should auth state live?" | App-level state machine, not scattered booleans |
| "How do I handle app going to background?" | scenePhase lifecycle patterns |
| "When should I split my app into modules?" | Decision tree based on codebase size and team |
| "How do I restore state after app is killed?" | SceneStorage and state validation patterns |
Quick Decision Tree
What app-level architecture question are you solving?
│
├─ How do I manage app states (loading, auth, main)?
│ └─ Part 1: App-Level State Machines
│ - Enum-based state with validated transitions
│ - AppStateController pattern
│ - Prevents "boolean soup" anti-pattern
│
├─ How do I structure @main and root view switching?
│ └─ Part 2: Root View Switching Patterns
│ - Delegate to AppStateController (no logic in @main)
│ - Flicker prevention with animation
│ - Coordinator integration
│
├─ How do I handle scene lifecycle?
│ └─ Part 3: Scene Lifecycle Integration
│ - scenePhase for session validation
│ - SceneStorage for restoration
│ - Multi-window coordination
│
├─ When should I modularize?
│ └─ Part 4: Feature Module Basics
│ - Decision tree by size/team
│ - Module boundaries and DI
│ - Navigation coordination
│
└─ What mistakes should I avoid?
└─ Part 5: Anti-Patterns + Part 6: Pressure Scenarios
- Boolean-based state
- Logic in @main
- Missing restoration validation
Part 1: App-Level State Machines
Core Principle
"Apps have discrete states. Model them explicitly with enums, not scattered booleans."
Every non-trivial app has distinct states: loading, unauthenticated, onboarding, authenticated, error recovery. These states should be:
- Explicit — An enum, not multiple booleans
- Validated — Transitions are checked and logged
- Centralized — One source of truth
- Observable — Views react to state changes
The Boolean Soup Problem
// ❌ Boolean soup — impossible to validate, prone to invalid states
class AppState {
var isLoading = true
var isLoggedIn = false
var hasCompletedOnboarding = false
var hasError = false
var user: User?
// What if isLoading && isLoggedIn && hasError are all true?
// Invalid state, but nothing prevents it
}
Problems
- No compile-time guarantee of valid states
- Easy to forget to update one boolean
- Testing requires checking all combinations
- Race conditions create impossible states
The AppStateController Pattern
Step 1: Define Explicit States
enum AppState: Equatable {
case loading
case unauthenticated
case onboarding(OnboardingStep)
case authenticated(User)
case error(AppError)
}
enum OnboardingStep: Equatable {
case welcome
case permissions
case profileSetup
case complete
}
enum AppError: Equatable {
case networkUnavailable
case sessionExpired
case maintenanceMode
}
Step 2: Create the Controller
@Observable
@MainActor
class AppStateController {
private(set) var state: AppState = .loading
// MARK: - State Transitions
func transition(to newState: AppState) {
guard isValidTransition(from: state, to: newState) else {
assertionFailure("Invalid transition: \(state) → \(newState)")
logInvalidTransition(from: state, to: newState)
return
}
let oldState = state
state = newState
logTransition(from: oldState, to: newState)
}
// MARK: - Validation
private func isValidTransition(from: AppState, to: AppState) -> Bool {
switch (from, to) {
// From loading
case (.loading, .unauthenticated): return true
case (.loading, .authenticated): return true
case (.loading, .error): return true
// From unauthenticated
case (.unauthenticated, .onboarding): return true
case (.unauthenticated, .authenticated): return true
case (.unauthenticated, .error): return true
// From onboarding
case (.onboarding, .onboarding): return true // Step changes
case (.onboarding, .authenticated): return true
case (.onboarding, .unauthenticated): return true // Cancelled
// From authenticated
case (.authenticated, .unauthenticated): return true // Logout
case (.authenticated, .error): return true
// From error
case (.error, .loading): return true // Retry
case (.error, .unauthenticated): return true
default: return false
}
}
// MARK: - Logging
private func logTransition(from: AppState, to: AppState) {
#if DEBUG
print("AppState: \(from) → \(to)")
#endif
}
private func logInvalidTransition(from: AppState, to: AppState) {
// Log to analytics for debugging
Analytics.log("InvalidStateTransition", properties: [
"from": String(describing: from),
"to": String(describing: to)
])
}
}
Step 3: Initialize from Storage
How to use axiom-app-composition on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add axiom-app-composition
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches axiom-app-composition from GitHub repository charleswiltgen/axiom and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate axiom-app-composition. Access the skill through slash commands (e.g., /axiom-app-composition) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★52 reviews- ★★★★★Hana Rahman· Dec 24, 2024
axiom-app-composition reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Soo Gupta· Dec 20, 2024
axiom-app-composition has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aditi Johnson· Dec 16, 2024
Solid pick for teams standardizing on skills: axiom-app-composition is focused, and the summary matches what you get after install.
- ★★★★★Meera Agarwal· Dec 12, 2024
I recommend axiom-app-composition for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ganesh Mohane· Dec 8, 2024
axiom-app-composition has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kiara Okafor· Nov 27, 2024
Useful defaults in axiom-app-composition — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sofia Garcia· Nov 15, 2024
Registry listing for axiom-app-composition matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Hana Li· Nov 7, 2024
axiom-app-composition is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hana Tandon· Nov 7, 2024
We added axiom-app-composition from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Camila Bhatia· Nov 3, 2024
Keeps context tight: axiom-app-composition is the kind of skill you can hand to a new teammate without a long onboarding doc.
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