Multi Platform Apps Multi Platform
Multi Platform Apps Multi Platform is an code AI skill with a core value of Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies.
Quick Facts
mkdir -p ./skills/multi-platform-apps-multi-platform && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/multi-platform-apps-multi-platform/SKILL.md -o ./skills/multi-platform-apps-multi-platform/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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]
🎯 Best For
- UI designers
- Product designers
- Claude users
- Software engineers
- Development teams
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Multi Platform Apps Multi Platform to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Is Multi Platform Apps Multi Platform compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Multi Platform Apps Multi Platform?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Multi Platform Apps Multi Platform?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/multi-platform-apps-multi-platform/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.