axiom-app-composition

charleswiltgen/axiom · updated Apr 8, 2026

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$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-app-composition
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summary

Use this skill when:

skill.md

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:

  1. Explicit — An enum, not multiple booleans
  2. Validated — Transitions are checked and logged
  3. Centralized — One source of truth
  4. 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

How to use axiom-app-composition on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-app-composition

The skills CLI fetches axiom-app-composition from GitHub repository charleswiltgen/axiom and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/axiom-app-composition

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.

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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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.852 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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