{"skill":{"slug":"performance-tuning","displayName":"Performance Tuning","summary":"Deep performance tuning workflow—goals and measurement, profiling, hotspots, caching and concurrency trade-offs, system-specific tuning (DB, GC, network), an...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":244,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1774397228875,"updatedAt":1774399911748},"latestVersion":{"version":"1.0.0","createdAt":1774397228875,"changelog":"Initial release of the performance-tuning skill.\n\n- Introduces a six-stage, measurement-driven workflow for deep performance tuning.\n- Covers goal setting, baseline measurement, profiling, implementation, verification, and regression prevention.\n- Includes supporting checklists, profiling tool examples, and tips for various system types (e.g., DB, GC, network).\n- Designed for addressing latency, throughput, resource saturation, or efficiency/cost concerns.","license":"MIT-0"},"metadata":null,"owner":{"handle":"mikeclaw007","userId":"s173n2mnssqbs3ebpdz3b52ssh83gshx","displayName":"mikeclaw007","image":"https://avatars.githubusercontent.com/u/265502950?v=4"},"moderation":null}