概要
This skill provides a comprehensive library of design patterns for the Model Context Protocol (MCP), enabling developers to build more robust and responsive AI tools. It covers critical implementation details such as incremental result streaming for long-running tasks, multi-tool orchestration with dependency resolution, and advanced concurrency management using modern Python async features. By standardizing progress reporting, cancellation logic, and stateful session management, it ensures that Claude can interact with complex backend systems reliably and efficiently while avoiding common pitfalls like blocking operations or race conditions.
