Browse published AI skills maintained by AVRA-CADAVRA. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
60Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Guides reservation system patterns: quantum states, availability calculation, check-in services, payment integration. Use when implementing reservations, availability management, or reservation workflows.
Guides performance optimization: atomic clock service, performance monitoring, memory optimization, battery optimization. Use when optimizing performance, monitoring metrics, or improving app efficiency.
Standardizes service patterns: constructor injection, error handling, logging with developer.log(), service-to-service communication. Use when creating new services or refactoring existing services.
Enforces offline-first architecture patterns: Sembast database, local-first data sources, sync strategies, offline indicator. Use when implementing features, designing data flow, or ensuring offline functionali...
Enforces comprehensive error handling: explicit catch blocks, user-friendly messages, Result/Either patterns. Use when writing async code, service methods, or handling exceptions.
Guides event system implementation: creation, ticketing, partnerships, sponsorships, check-in, analytics. Use when implementing events, event management, or event-related features.
Enforces Clean Architecture layer separation (core, data, domain, presentation). Use when creating new features, organizing code, or ensuring proper dependency direction.
Validates that features align with "opening doors" concept, meaningful connections, user journey flow. Use when implementing features, reviewing code, or ensuring features serve the doors philosophy.
Enforces async/await patterns over .then() chains, proper error handling, mounted checks. Use when writing async code, handling Futures, or working with async operations.
Guides BLoC state management implementation patterns. Use when creating new BLoCs, handling state changes, or managing application state.
Detects and flags deprecated Flutter/Dart APIs, suggests modern equivalents. Use when reviewing code, refactoring, or ensuring code uses modern APIs.
Guides BLE implementation: device discovery, background scanning, power optimization, platform-specific implementations (Android/iOS). Use when implementing Bluetooth Low Energy features or device discovery.
Guides native code error handling patterns: exception conversion, error propagation to Dart, user-friendly messages. Use when implementing native code error handling, platform channel error handling, or FFI err...
Guides battery-adaptive BLE scheduling: adaptive scanning, power optimization, foreground services, background modes. Use when implementing BLE features, background operations, or battery optimization.
Guides Swift integration patterns: platform channels, method channels, async callbacks, native iOS features. Use when implementing iOS-specific features, native platform channels, or Swift code integration.
Guides Rust FFI bindings implementation: FFI bindings, type conversion, memory management, error handling, Flutter Rust Bridge. Use when implementing Rust FFI bindings, native code integration, or FFI callbacks...
Guides Kotlin/Java Android integration patterns: platform channels, method channels, native Android features, BLE implementation. Use when implementing Android-specific features, native platform channels, or Ko...
Guides controller implementation for complex workflows, reservation creation, quantum matching, group matching. Use when creating controllers for multi-step processes or complex state management.
Guides payment service integration: Stripe integration, event ticketing, revenue splits, refund handling. Use when implementing payment processing, ticketing, or financial transactions.
Guides device discovery implementation patterns for AI2AI connections. Use when implementing device discovery, BLE scanning, or WiFi-based device detection.
Guides connection orchestration patterns: Personality AI Layer routing, compatibility scoring, connection prioritization. Use when implementing AI2AI connections, device communication, or connection management.
Enforces AI2AI privacy validation: anonymized data exchange, no personal identifiers, privacy-preserving learning. Use when implementing AI2AI features, validating privacy, or ensuring privacy compliance.
Guides AI2AI protocol implementation: personality learning, anonymous communication, AI2AI-only (never p2p), Personality AI Layer routing. Use when implementing AI2AI features, network protocols, or device comm...
Enforces 40-minute context gathering protocol for implementation tasks. Use when starting new tasks, implementing features, or beginning development work.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.