async-programming
Asynchronous programming models including coroutines, async/await, and reactive patterns
fastapi-templates
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
modern-javascript-patterns
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing JavaScript applications.
async-programming-skill
This skill provides async/await patterns and best practices for concurrent programming
mcp-builder-rust
Guide for creating high-quality MCP (Model Context Protocol) servers in Rust using rmcp SDK. Use when building production-grade MCP servers with type safety, performance, and async support.
rust
Rust language expertise for writing safe, performant, production-quality Rust code. Use for Rust development, ownership patterns, error handling, async/await, and cargo management. Triggers: rust, cargo, rustc, ownership, borrowing, lifetime, Result, Option, traits, crates.
python
Python language expertise for writing idiomatic, production-quality Python code. Use for Python development, type hints, async patterns, testing with pytest, packaging, and following PEP 8 standards. Triggers: python, py, pytest, pep8, typing, asyncio, poetry, uv, pyproject.
concurrency
Comprehensive concurrency and parallelism patterns for multi-threaded and async programming. Use when implementing async/await, parallel processing, thread safety, worker pools, or debugging race conditions and deadlocks. Triggers: async, await, concurrent, parallel, threads, race condition, deadlock, mutex, semaphore, worker pool, queue.
moai-lang-swift
Swift 6.0 enterprise development with async/await, SwiftUI, Combine, and Swift Concurrency. Advanced patterns for iOS, macOS, server-side Swift, and enterprise mobile applications with Context7 MCP integration.
Swift Concurrency Expert Guide
Deep dive into Swift's async/await runtime, Sendable enforcement, actors, and migration strategies.
async-python-patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
fastmcp-creator
Build Model Context Protocol (MCP) servers - comprehensive coverage of generic MCP protocol AND FastMCP framework specialization. Use when creating any MCP server (Python FastMCP preferred, TypeScript/Node also covered). Includes agent-centric design principles, evaluation creation, Pydantic/Zod validation, async patterns, STDIO/HTTP/SSE transports, FastMCP Cloud deployment, .mcpb packaging, security patterns, and mid-2025+ community practices. Standalone skill with no external dependencies.
Convex Agents Streaming
Streams agent responses in real-time to clients without blocking. Use this for responsive UIs, long-running generations, and asynchronous streaming to multiple clients.
argentic-framework-development
Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration
python-testing
Python-specific testing practices with pytest, fixtures, mocking, async testing, coverage configuration, and uv execution rules. Activate when working with pytest files, conftest.py, test directories, pyproject.toml testing configuration, or Python test-related tasks.
testing-patterns
Testing patterns and standards for this codebase, including async effects, fakes vs mocks, and property-based testing.
pytest-code-review
Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture usage, or mock patterns.
python-code-review
Reviews Python code for type safety, async patterns, error handling, and common mistakes. Use when reviewing .py files, checking type hints, async/await usage, or exception handling.
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