Install
$ agentstack add skill-evanca-flutter-ai-rules-firebase-data-connect ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Firebase Data Connect Skill
This skill defines how to correctly use Firebase Data Connect in Flutter applications.
When to Use
Use this skill when:
- Setting up and configuring Firebase Data Connect in a Flutter project.
- Designing schemas, queries, and mutations for Data Connect.
- Implementing generated SDK calls for typed queries and mutations.
- Handling network failures, data inconsistencies, and offline scenarios.
- Applying security and performance best practices.
1. Setup and Configuration
Step 1: Install the package
flutter pub add firebase_data_connect
Step 2: Import and initialize
import 'package:firebase_data_connect/firebase_data_connect.dart';
import 'package:firebase_core/firebase_core.dart';
import 'firebase_options.dart';
await Firebase.initializeApp(
options: DefaultFirebaseOptions.currentPlatform,
);
Step 3: Define a schema in dataconnect/schema/schema.gql
type Movie @table {
id: UUID! @default(expr: "uuidV4()")
title: String!
releaseYear: Int
genre: String
rating: Float
description: String
}
Step 4: Define queries and mutations in dataconnect/connector/queries.gql
query ListMovies @auth(level: PUBLIC) {
movies {
id
title
releaseYear
genre
rating
}
}
mutation CreateMovie($title: String!, $releaseYear: Int, $genre: String) @auth(level: USER) {
movie_insert(data: {
title: $title
releaseYear: $releaseYear
genre: $genre
})
}
mutation DeleteMovie($id: UUID!) @auth(level: USER) {
movie_delete(id: $id)
}
Step 5: Generate the typed Flutter SDK
flutterfire generate
This produces typed Dart classes for each query and mutation.
Platform support:
| Platform | Support | |---|---| | iOS | Full | | Android | Full | | Web | Full | | Other platforms | Not supported |
2. Executing Queries and Mutations
Use the generated SDK to execute typed queries and mutations:
// Execute a query
final result = await ListMoviesQuery().execute();
final movies = result.data.movies;
// Execute a mutation
await CreateMovieMutation(title: 'Inception', releaseYear: 2010, genre: 'Sci-Fi')
.execute();
// Delete by ID
await DeleteMovieMutation(id: movieId).execute();
Real-Time Listeners
Subscribe to query changes for live updates:
final subscription = ListMoviesQuery().subscribe();
subscription.listen((result) {
final movies = result.data.movies;
// Update UI with latest movie list
});
3. Performance and Caching
- Design efficient queries requesting only the fields needed to minimize data transfer.
- Implement pagination for large datasets:
``graphql query ListMoviesPaginated($limit: Int!, $offset: Int!) @auth(level: PUBLIC) { movies(limit: $limit, offset: $offset) { id title releaseYear } } ``
- Use real-time listeners judiciously to avoid unnecessary network usage.
- Consider offline capabilities for critical app functionality by caching query results locally.
4. Error Handling
Wrap Data Connect calls in try/catch to handle network and validation errors:
try {
final result = await ListMoviesQuery().execute();
return result.data.movies;
} on FirebaseException catch (e) {
if (e.code == 'unavailable') {
// Handle offline — return cached data
return _localCache.getMovies();
}
rethrow;
}
- Implement retry logic with exponential backoff for transient connection errors.
- Provide meaningful error messages for data validation failures.
- Monitor error rates and investigate recurring issues.
5. Security
- Use
@authdirectives in schema to control access levels (PUBLIC,USER,NO_ACCESS). - Integrate Firebase Authentication for user-based access control.
- Validate data on both client and server sides.
- Follow data privacy best practices when handling user information.
References
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: evanca
- Source: evanca/flutter-ai-rules
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.