multi-platform-apps-multi-platform

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill multi-platform-apps-multi-platform
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summary

Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies.

skill.md

Multi-Platform Feature Development Workflow

Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies.

[Extended thinking: This workflow orchestrates multiple specialized agents to ensure feature parity across platforms while maintaining platform-specific optimizations. The coordination strategy emphasizes shared contracts and parallel development with regular synchronization points. By establishing API contracts and data models upfront, teams can work independently while ensuring consistency. The workflow benefits include faster time-to-market, reduced integration issues, and maintainable cross-platform codebases.]

Use this skill when

  • Working on multi-platform feature development workflow tasks or workflows
  • Needing guidance, best practices, or checklists for multi-platform feature development workflow

Do not use this skill when

  • The task is unrelated to multi-platform feature development workflow
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Phase 1: Architecture and API Design (Sequential)

1. Define Feature Requirements and API Contracts

  • Use Task tool with subagent_type="backend-architect"
  • Prompt: "Design the API contract for feature: $ARGUMENTS. Create OpenAPI 3.1 specification with:
    • RESTful endpoints with proper HTTP methods and status codes
    • GraphQL schema if applicable for complex data queries
    • WebSocket events for real-time features
    • Request/response schemas with validation rules
    • Authentication and authorization requirements
    • Rate limiting and caching strategies
    • Error response formats and codes Define shared data models that all platforms will consume."
  • Expected output: Complete API specification, data models, and integration guidelines

2. Design System and UI/UX Consistency

  • Use Task tool with subagent_type="ui-ux-designer"
  • Prompt: "Create cross-platform design system for feature using API spec: [previous output]. Include:
    • Component specifications for each platform (Material Design, iOS HIG, Fluent)
    • Responsive layouts for web (mobile-first approach)
    • Native patterns for iOS (SwiftUI) and Android (Material You)
    • Desktop-specific considerations (keyboard shortcuts, window management)
    • Accessibility requirements (WCAG 2.2 Level AA)
    • Dark/light theme specifications
    • Animation and transition guidelines"
  • Context from previous: API endpoints, data structures, authentication flows
  • Expected output: Design system documentation, component library specs, platform guidelines

3. Shared Business Logic Architecture

  • Use Task tool with subagent_type="comprehensive-review::architect-review"
  • Prompt: "Design shared business logic architecture for cross-platform feature. Define:
    • Core domain models and entities (platform-agnostic)
    • Business rules and validation logic
    • State management patterns (MVI/Redux/BLoC)
    • Caching and offline strategies
    • Error handling and retry policies
    • Platform-specific adapter patterns Consider Kotlin Multiplatform for mobile or TypeScript for web/desktop sharing."
  • Context from previous: API contracts, data models, UI requirements
  • Expected output: Shared code architecture, platform abstraction layers, implementation guide

Phase 2: Parallel Platform Implementation

4a. Web Implementation (React/Next.js)

  • Use Task tool with subagent_type="frontend-developer"
  • Prompt: "Implement web version of feature using:
    • React 18+ with Next.js 14+ App Router
    • TypeScript for type safety
    • TanStack Query for API integration: [API spec]
    • Zustand/Redux Toolkit for state management
    • Tailwind CSS with design system: [design specs]
    • Progressive Web App capabilities
    • SSR/SSG optimization where appropriate
    • Web vitals optimization (LCP < 2.5s, FID < 100ms) Follow shared business logic: [architecture doc]"
  • Context from previous: API contracts, design system, shared logic patterns
  • Expected output: Complete web implementation with tests

4b. iOS Implementation (SwiftUI)

  • Use Task tool with subagent_type="ios-developer"
  • Prompt: "Implement iOS version using:
    • SwiftUI with iOS 17+ features
    • Swift 5.9+ with async/await
    • URLSession with Combine for API: [API spec]
    • Core Data/SwiftData for persistence
    • Design system compliance: [iOS HIG specs]
    • Widget extensions if applicable
    • Platform-specific features (Face ID, Haptics, Live Activities)
    • Testable MVVM architecture Follow shared patterns: [architecture doc]"
  • Context from previous: API contracts, iOS design guidelines, shared models
  • Expected output: Native iOS implementation with unit/UI tests

4c. Android Implementation (Kotlin/Compose)

  • Use Task tool with subagent_type="mobile-developer"
  • Prompt: "Implement Android version using:
    • Jetpack Compose with Material 3
    • Kotlin coroutines and Flow
    • Retrofit/Ktor for API: [API spec]
    • Room database for local storage
    • Hilt for dependency injection
    • Material You dynamic theming: [design specs]
    • Platform features (biometric auth, widgets)
    • Clean architecture with MVI pattern Follow shared logic: [architecture doc]"
  • Context from previous: API contracts, Material Design specs, shared patterns
  • Expected output: Native Android implementation with tests

4d. Desktop Implementation (Optional - Electron/Tauri)

  • Use Task tool with subagent_type="frontend-mobile-development::frontend-developer"
  • Prompt: "Implement desktop version using Tauri 2.0 or Electron with:
    • Shared web codebase where possible
    • Native OS integration (system tray, notifications)
    • File system access if needed
    • Auto-updater functionality
    • Code signing and notarization setup
    • Keyboard shortcuts and menu bar
    • Multi-window support if applicable Reuse web components: [web implementation]"
  • Context from previous: Web implementation, desktop-specific requirements
  • Expected output: Desktop application with platform packages

Phase 3: Integration and Validation

5. API Documentation and Testing

  • Use Task tool with subagent_type="documentation-generation::api-documenter"
  • Prompt: "Create comprehensive API documentation including:
    • Interactive OpenAPI/Swagger documentation
    • Platform-specific integration guides
    • SDK examples for each platform
    • Authentication flow diagrams
    • Rate limiting and quota information
    • Postman/Insomnia collections
    • WebSocket connection examples
    • Error handling best practices
    • API versioning strategy Test all endpoints with platform implementations."
  • Context from previous: Implemented platforms, API usage patterns
  • Expected output: Complete API documentation portal, test results

6. Cross-Platform Testing and Feature Parity

  • Use Task tool with subagent_type="unit-testing::test-automator"
  • Prompt: "Validate feature parity across all platforms:
    • Functional testing matrix (features work identically)
    • UI consistency verification (follows design system)
    • Performance benchmarks per platform
    • Accessibility testing (platform-specific tools)
    • Network resilience testing (offline, slow connections)
    • Data synchronization validation
    • Platform-specific edge cases
    • End-to-end user journey tests Create test report with any platform discrepancies."
  • Context from previous: All platform implementations, API documentation
  • Expected output: Test report, parity matrix, performance metrics

7. Platform-Specific Optimizations

  • Use Task tool with subagent_type="application-performance::performance-engineer"
  • Prompt: "Optimize each platform implementation:
    • Web: Bundle size, lazy loading, CDN setup, SEO
    • iOS: App size, launch time, memory usage, battery
    • Android: APK size, startup time, frame rate, battery
    • Desktop: Binary size, resource usage, startup time
    • API: Response time, caching, compression Maintain feature parity while leveraging platform strengths. Document optimization techniques and trade-offs."
  • Context from previous: Test results, performance metrics
  • Expected output: Optimized implementations, performance improvements

Configuration Options

  • --platforms: Specify target platforms (web,ios,android,desktop)
  • --api-first: Generate API before UI implementation (default: true)
  • --shared-code: Use Kotlin Multiplatform or similar (default: evaluate)
  • --design-system: Use existing or create new (default: create)
  • --testing-strategy: Unit, integration, e2e (default: all)

Success Criteria

  • API contract defined and validated before implementation
  • All platforms achieve feature parity with <5% variance
  • Performance metrics meet platform-specific standards
  • Accessibility standards met (WCAG 2.2 AA minimum)
  • Cross-platform testing shows consistent behavior
  • Documentation complete for all platforms
  • Code reuse >40% between platforms where applicable
  • User experience optimized for each platform's conventions

Platform-Specific Considerations

Web: PWA capabilities, SEO optimization, browser compatibility iOS: App Store guidelines, TestFlight distribution, iOS-specific features Android: Play Store requirements, Android App Bundles, device fragmentation Desktop: Code signing, auto-updates, OS-specific installers

Initial feature specification: $ARGUMENTS

how to use multi-platform-apps-multi-platform

How to use multi-platform-apps-multi-platform 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 multi-platform-apps-multi-platform
2

Execute installation command

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

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill multi-platform-apps-multi-platform

The skills CLI fetches multi-platform-apps-multi-platform from GitHub repository sickn33/antigravity-awesome-skills 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/multi-platform-apps-multi-platform

Reload or restart Cursor to activate multi-platform-apps-multi-platform. Access the skill through slash commands (e.g., /multi-platform-apps-multi-platform) 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

4.653 reviews
  • Hana Singh· Dec 28, 2024

    Useful defaults in multi-platform-apps-multi-platform — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noor Gupta· Dec 16, 2024

    I recommend multi-platform-apps-multi-platform for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Harper Zhang· Dec 4, 2024

    Registry listing for multi-platform-apps-multi-platform matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Noor White· Nov 23, 2024

    Useful defaults in multi-platform-apps-multi-platform — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sofia Sethi· Nov 19, 2024

    Registry listing for multi-platform-apps-multi-platform matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Olivia Choi· Nov 7, 2024

    multi-platform-apps-multi-platform reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ama Thompson· Oct 26, 2024

    Registry listing for multi-platform-apps-multi-platform matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Noor Srinivasan· Oct 14, 2024

    I recommend multi-platform-apps-multi-platform for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sofia Malhotra· Oct 10, 2024

    multi-platform-apps-multi-platform reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Valentina Menon· Sep 25, 2024

    multi-platform-apps-multi-platform has been reliable in day-to-day use. Documentation quality is above average for community skills.

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