Use when implementing feature flags, running A/B tests, setting parameter defaults, fetching/activating config, or enabling real-time config updates.
npx skills add https://github.com/evanca/flutter-ai-rules --skill firebase-remote-config
This skill defines how to correctly use Firebase Remote Config in Flutter applications.
Use this skill when:
flutter pub add firebase_remote_config
flutter pub add firebase_analytics # required for conditional targeting of app instances
import 'package:firebase_remote_config/firebase_remote_config.dart';
final remoteConfig = FirebaseRemoteConfig.instance;
Configure settings:
await remoteConfig.setConfigSettings(RemoteConfigSettings(
fetchTimeout: const Duration(minutes: 1),
minimumFetchInterval: const Duration(hours: 1),
));
Set in-app defaults (ensures the app behaves as intended before connecting to the backend):
await remoteConfig.setDefaults(const {
"feature_new_onboarding": false,
"max_retry_attempts": 3,
"welcome_message": "Hello, world!",
"promo_discount_pct": 0.0,
});
Read values with type-specific getters:
final showNewOnboarding = remoteConfig.getBool("feature_new_onboarding");
final maxRetries = remoteConfig.getInt("max_retry_attempts");
final welcomeMsg = remoteConfig.getString("welcome_message");
final discount = remoteConfig.getDouble("promo_discount_pct");
login_timeout, login_attempts_max).await remoteConfig.fetchAndActivate();
fetchAndActivate() to fetch and apply values in a single call.fetch() then activate() separately to control when values take effect.remoteConfig.lastFetchStatus to determine if the fetch was successful, failed, or throttled.remoteConfig.onConfigUpdated.listen((event) async {
await remoteConfig.activate();
// event.updatedKeys contains the changed parameter names
if (event.updatedKeys.contains("feature_new_onboarding")) {
// Refresh UI based on the new value
}
});
await remoteConfig.setConfigSettings(RemoteConfigSettings(
fetchTimeout: const Duration(minutes: 1),
minimumFetchInterval: const Duration(minutes: 5),
));
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take evanca/firebase-remote-config from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.