patterns▌

Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.

Navigate .NET concurrency from async/await through Channels to Akka.NET based on your specific problem. \n \n Start with async/await for I/O-bound work; escalate only when you hit a concrete limitation that simpler tools can't address cleanly \n Use Parallel.ForEachAsync for CPU-bound parallelism, Channel<T> for producer/consumer decoupling with backpressure, and Reactive Extensions for UI event composition \n Akka.NET Actors handle stateful entity management, state machines with Become() ,

Idiomatic Perl 5.36+ patterns and best practices for building robust, maintainable applications.

$22

Patterns for building shared UI across Android, iOS, Desktop, and Web using Compose Multiplatform and Jetpack Compose. Covers state management, navigation, theming, and performance.

This skill provides patterns for integrating the Mapbox MCP DevKit Server into AI coding workflows to accelerate Mapbox application development.

$22

Comprehensive guide to asyncio, concurrent patterns, and async/await for building high-performance, non-blocking Python applications. \n \n Covers core concepts (event loops, coroutines, tasks, futures) and 10+ fundamental and advanced patterns including concurrent execution, error handling, timeouts, context managers, and producer-consumer workflows \n Includes real-world examples for web scraping with aiohttp, async database operations, and WebSocket servers \n Provides performance best practi

Comprehensive error handling patterns across Python, TypeScript, Rust, and Go with language-specific implementations. \n \n Covers error philosophies (exceptions vs Result types), error categories (recoverable vs unrecoverable), and language-specific patterns including custom exception hierarchies, Result types, and async error handling \n Includes three universal patterns: circuit breaker for preventing cascading failures, error aggregation for collecting multiple errors, and graceful degradati

Comprehensive guidance for writing production-ready Bash scripts using defensive programming techniques, error handling, and safety best practices to prevent common pitfalls and ensure reliability.