flutter-expert▌
404kidwiz/claude-supercode-skills · updated Apr 8, 2026
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Provides cross-platform mobile development expertise specializing in Flutter 3+, Dart programming, and Riverpod state management. Builds high-fidelity applications for Mobile, Web, and Desktop with advanced rendering optimization (Impeller), custom render objects, and native integrations via FFI and Method Channels.
Flutter Expert
Purpose
Provides cross-platform mobile development expertise specializing in Flutter 3+, Dart programming, and Riverpod state management. Builds high-fidelity applications for Mobile, Web, and Desktop with advanced rendering optimization (Impeller), custom render objects, and native integrations via FFI and Method Channels.
When to Use
- Building pixel-perfect cross-platform apps (iOS/Android/Web/Desktop)
- Implementing complex state management (Riverpod/BLoC)
- Optimizing rendering performance (Impeller, Repaint Boundary)
- Developing 2D games (Flame Engine)
- Integrating C/C++/Rust libraries via FFI (Foreign Function Interface)
- Creating custom render objects or shaders (Fragment Shaders)
2. Decision Framework
State Management Selection
| Pattern | Best For | Complexity | Pros |
|---|---|---|---|
| Riverpod | Default Choice | Medium | Compile-time safety, no context dependency, testable. |
| BLoC/Cubit | Enterprise | High | Strict event/state separation, great for logging/analytics. |
| Provider | Legacy/Simple | Low | Built-in, simple, but relies on BuildContext. |
| GetX | Rapid MVP | Low | "Magic" reactive, less boilerplate, but non-standard patterns. |
Platform Integration Strategy
How to talk to Native?
│
├─ **Method Channels (Standard)**
│ ├─ Async calls? → **MethodChannel**
│ └─ Streams? → **EventChannel**
│
├─ **FFI (High Performance)**
│ ├─ C/C++ Library? → **dart:ffi**
│ └─ Rust Library? → **Flutter Rust Bridge**
│
└─ **Platform Views (UI)**
├─ Native UI inside Flutter? → **AndroidView / UiKitView**
└─ Performance Critical? → **Hybrid Composition**
Rendering Engine (Impeller vs Skia)
- Impeller (Default iOS): Predetermined shaders. Zero jank.
- Skia (Legacy/Android): Runtime shader compilation. Can have jank on first run.
- Optimization: Use
RepaintBoundaryto isolate heavy paints (e.g., video players, rotating spinners).
Red Flags → Escalate to mobile-developer (Native):
- Requirements for App Clips / Instant Apps (Flutter support is limited/heavy)
- Extremely memory-constrained environments (Flutter engine adds ~10-20MB overhead)
- OS-level integrations not yet exposed (e.g., brand new iOS beta features)
Workflow 2: Custom Shader (Fragment Program)
Goal: Create a visual effect (e.g., pixelation).
Steps:
-
Shader Code (
shaders/pixelate.frag)#include <flutter/runtime_effect.glsl> uniform vec2 uSize; uniform float uPixels; uniform sampler2D uTexture; out vec4 fragColor; void main() { vec2 uv = FlutterFragCoord().xy / uSize; vec2 pixelatedUV = floor(uv * uPixels) / uPixels; fragColor = texture(uTexture, pixelatedUV); } -
Load & Apply
// Load asset final program = await FragmentProgram.fromAsset('shaders/pixelate.frag'); // CustomPainter void paint(Canvas canvas, Size size) { final shader = program.fragmentShader(); shader.setFloat(0, size.width); // uSize.x shader.setFloat(1, size.height); // uSize.y shader.setFloat(2, 50.0); // uPixels (50x50 grid) final paint = Paint()..shader = shader; canvas.drawRect(Offset.zero & size, paint); }
4. Patterns & Templates
Pattern 1: Clean Architecture (Layers)
Use case: Scalable enterprise apps.
lib/
domain/ # Entities, Repository Interfaces (Pure Dart)
entities/
repositories/
data/ # Implementations (API, DB)
datasources/
repositories/
models/ # DTOs
presentation/ # UI, Controllers (Flutter)
pages/
widgets/
controllers/
Pattern 2: Repository Pattern (Riverpod)
Use case: Decoupling API from UI.
AuthRepository authRepository(AuthRepositoryRef ref) {
return FirebaseAuthImpl(FirebaseAuth.instance);
}
Future<User> currentUser(CurrentUserRef ref) {
return ref.watch(authRepositoryProvider).getCurrentUser();
}
Pattern 3: Responsive Layout (Adaptive)
Use case: Supporting Phone, Tablet, and Desktop.
class AdaptiveScaffold extends StatelessWidget {
Widget build(BuildContext context) {
final width = MediaQuery.of(context).size.width;
if (width > 900) {
return Row(children: [NavRail(), Expanded(child: Body())]);
} else {
return Scaffold(
drawer: Drawer(),
body: Body(),
bottomNavigationBar: BottomNavBar(),
);
}
}
}
6. Integration Patterns
backend-developer:
- Handoff: Backend provides Swagger/OpenAPI → Flutter Expert uses
openapi_generatorto build Dart clients. - Collaboration: Handling JWT refresh tokens (interceptors).
- Tools: Dio Interceptors.
mobile-developer:
- Handoff: Native dev writes Swift/Kotlin plugin → Flutter Expert wraps it in Method Channel.
- Collaboration: Debugging platform-specific crashes (Xcode/Android Studio).
- Tools: Pigeon (Type-safe interop).
ui-designer:
- Handoff: Designer provides Rive animation (
.riv) → Flutter Expert integrates viarivepackage. - Collaboration: Implementing custom Painter for non-standard shapes.
- Tools: Rive, Flutter Shape Maker.
How to use flutter-expert 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 flutter-expert
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches flutter-expert from GitHub repository 404kidwiz/claude-supercode-skills 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 flutter-expert. Access the skill through slash commands (e.g., /flutter-expert) 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
Submit your Claude Code skill and start earning
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★★★★★57 reviews- ★★★★★Ren Rahman· Dec 28, 2024
I recommend flutter-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aditi Abbas· Dec 28, 2024
flutter-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Pratham Ware· Dec 20, 2024
flutter-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Meera Sethi· Dec 8, 2024
We added flutter-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ren Singh· Nov 19, 2024
Solid pick for teams standardizing on skills: flutter-expert is focused, and the summary matches what you get after install.
- ★★★★★Meera Thomas· Nov 19, 2024
flutter-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ren Anderson· Oct 10, 2024
flutter-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Meera Rao· Oct 10, 2024
Registry listing for flutter-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yash Thakker· Sep 25, 2024
I recommend flutter-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Amina Gonzalez· Sep 21, 2024
Registry listing for flutter-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
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