flutter-riverpod-expert

juparave/dotfiles · updated May 26, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/juparave/dotfiles --skill flutter-riverpod-expert
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skill.md

Flutter Riverpod Expert - 2025 Best Practices

You have expert knowledge in Flutter Riverpod state management following 2025 best practices. When the user is working with Riverpod or Flutter state management, apply these patterns and guidelines.

When to Use This Skill

Activate this expertise when the user mentions:

  • Riverpod, providers, state management, or StateNotifier
  • AsyncNotifier, FutureProvider, StreamProvider, NotifierProvider
  • Code generation with riverpod_generator or build_runner
  • Data fetching, API integration, mutations, or reactive state
  • State synchronization, caching, autoDispose, or memory management
  • Provider testing, dependency injection, or repository patterns
  • Performance issues with rebuilds, provider selection, or optimization
  • Migration from old Riverpod patterns to modern approaches

Core Principles (2025)

  1. Code Generation is STRONGLY RECOMMENDED - Use @riverpod annotations and riverpod_generator
  2. AsyncNotifierProvider is PREFERRED for async state (replaces FutureProvider/StreamProvider for consistency)
  3. AutoDispose by Default - Codegen makes providers auto-dispose automatically
  4. Repository Pattern - Separate data layer from state management
  5. Performance First - Use select() to optimize rebuilds

Provider Selection Guide

Quick Decision Tree

Immutable/Computed Values - Use Provider:


String apiKey(Ref ref) => 'YOUR_API_KEY';


int totalPrice(Ref ref) {
  final cart = ref.watch(cartProvider);
  return cart.items.fold(0, (sum, item) => sum + item.price);
}

Simple Synchronous State - Use NotifierProvider:


class Counter extends _$Counter {
  
  int build() => 0;

  void increment() => state++;
  void decrement() => state = max(0, state - 1);
}

Async Data with Mutations (PREFERRED 2025) - Use AsyncNotifierProvider:


class TodoList extends _$TodoList {
  
  Future<List<Todo>> build() async {
    final repo = ref.watch(todoRepositoryProvider);
    return repo.fetchTodos();
  }

  Future<void> addTodo(String title) async {
    state = const AsyncLoading();
    state = await AsyncValue.guard(() async {
      final repo = ref.read(todoRepositoryProvider);
      await repo.createTodo(title);
      return repo.fetchTodos();
    });
  }

  Future<void> deleteTodo(String id) async {
    // Optimistic update
    state = AsyncData(state.value!.where((t) => t.id != id).toList());

    try {
      await ref.read(todoRepositoryProvider).deleteTodo(id);
    } catch (e) {
      ref.invalidateSelf(); // Rollback on error
    }
  }
}

Real-time Streams Only - Use StreamProvider:


Stream<User?> authState(Ref ref) {
  return FirebaseAuth.instance.authStateChanges();
}

Key Rule: Prefer AsyncNotifierProvider over FutureProvider/StreamProvider for better consistency and mutation support.

Code Generation Setup

Dependencies (pubspec.yaml)

dependencies:
  flutter_riverpod: ^2.5.0
  riverpod_annotation: ^2.3.0

dev_dependencies:
  build_runner: ^2.4.0
  riverpod_generator: ^2.4.0
  custom_lint: ^0.6.0
  riverpod_lint: ^2.3.0

File Template

Every provider file needs:

import 'package:riverpod_annotation/riverpod_annotation.dart';

part 'filename.g.dart';  // REQUIRED


class MyProvider extends _$MyProvider {
  
  Future<Data> build() async => fetchData();
}

Run Generator

# Watch mode (RECOMMENDED during development)
dart run build_runner watch -d

# One-time generation
dart run build_runner build --delete-conflicting-outputs

Performance Optimization Patterns

Use ref.select() for Specific Fields

// ❌ BAD: Rebuilds on ANY product change
final product = ref.watch(productProvider);
return Text('\$${product.price}');

// ✅ GOOD: Only rebuilds when price changes
final price = ref.watch(productProvider.select((p) => p.price));
return Text('\$$price');

ref.watch() vs ref.select() vs ref.read() vs ref.listen()

ref.watch() - Subscribe to changes (use in build):


Widget build(BuildContext context, WidgetRef ref) {
  final todos = ref.watch(todoListProvider);
  return ListView(...);
}

ref.select() - Subscribe to specific property (optimize rebuilds):

final count = ref.watch(todoListProvider.select((todos) => todos.length));
final isAdult = ref.watch(personProvider.select((p) => p.age >= 18));

ref.read() - One-time read with NO subscription (event handlers only):

onPressed: () {
how to use flutter-riverpod-expert

How to use flutter-riverpod-expert 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 flutter-riverpod-expert
2

Execute installation command

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

$npx skills add https://github.com/juparave/dotfiles --skill flutter-riverpod-expert

The skills CLI fetches flutter-riverpod-expert from GitHub repository juparave/dotfiles 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/flutter-riverpod-expert

Reload or restart Cursor to activate flutter-riverpod-expert. Access the skill through slash commands (e.g., /flutter-riverpod-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

GET_STARTED →

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)
  • No comments yet — start the thread.
general reviews

Ratings

4.639 reviews
  • Min Tandon· Dec 24, 2024

    Registry listing for flutter-riverpod-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ganesh Mohane· Dec 16, 2024

    We added flutter-riverpod-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Shikha Mishra· Dec 12, 2024

    I recommend flutter-riverpod-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Min Taylor· Dec 4, 2024

    flutter-riverpod-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zaid Farah· Nov 23, 2024

    flutter-riverpod-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Naina Patel· Nov 15, 2024

    flutter-riverpod-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yash Thakker· Nov 3, 2024

    Useful defaults in flutter-riverpod-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Oct 22, 2024

    flutter-riverpod-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Zaid Johnson· Oct 14, 2024

    Useful defaults in flutter-riverpod-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ira Kapoor· Oct 6, 2024

    flutter-riverpod-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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