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Found 175 Skills
Swift 6.2 Approachable Concurrency — single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.
Reviews Swift code for concurrency correctness, modern API usage, and common async/await pitfalls. Use when reading, writing, or reviewing Swift concurrency code.
Use when working with SwiftData - @Model definitions, @Query in SwiftUI, @Relationship macros, ModelContext patterns, CloudKit integration, iOS 26+ features, and Swift 6 concurrency with @MainActor — Apple's native persistence framework
Python 3.11+ performance optimization guidelines (formerly python-311). This skill should be used when writing, reviewing, or refactoring Python code to ensure optimal performance patterns. Triggers on tasks involving asyncio, data structures, memory management, concurrency, loops, strings, or Python idioms.
Guide for Convex performance optimization including denormalization, index design, avoiding N+1 queries, OCC (Optimistic Concurrency Control), and handling hot spots. Use when optimizing query performance, designing data models, handling high-contention writes, or troubleshooting OCC errors. Activates for performance issues, index optimization, denormalization patterns, or concurrency control tasks.
Go concurrency patterns including goroutine lifecycle management, channel usage, mutex handling, and sync primitives. Use when writing concurrent Go code, spawning goroutines, working with channels, or documenting thread-safety guarantees. Based on Google and Uber Go Style Guides.
Python skill router. Use when planning, implementing, or reviewing Python changes and you need to select focused skills for workflow, design, typing/contracts, reliability, testing, data/state, concurrency, integrations, runtime operations, or notebook async behavior.
Complete guide for asyncio concurrency patterns including event loops, coroutines, tasks, futures, async context managers, and performance optimization
Concurrency with Effect.all, forEach concurrency, Fiber lifecycle, race and timeouts. Use for parallelizing tasks safely.
Guidance for implementing proper asyncio task cancellation with signal handling in Python. This skill applies when implementing concurrent task runners that need graceful shutdown, handling KeyboardInterrupt/SIGINT in asyncio contexts, or managing task cleanup when using semaphores for concurrency limiting. Use when tasks involve asyncio.gather, CancelledError handling, or cleanup of tasks that haven't started execution.
Optimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.
Build async message queues with Cloudflare Queues for background processing. Use when: handling async tasks, batch processing, implementing retries, configuring dead letter queues, managing consumer concurrency, or troubleshooting queue timeout, batch retry, message loss, or throughput exceeded. Prevents 13 documented errors including multi-dev limitations, remote binding conflicts, and DLQ issues.