Browse Secure Claude Skills
Search verified agent skills and review security grades before installing · full A–Z index
- Performance MethodologyThe investigation process for performance work: defining measurable goals, recording a baseline, characterising before diagnosing, falsifiability, fixed-work speedup bounds, experimental design, and validating by mechanism rather than by coincidence. Use when starting a performance investigation, when a fix is credited to a deploy that also restarted the process, when an optimisation is proposed without a measurement, when a benchmark result changes with the duration of the run, when an inves...Votes: 0GitHub stars: 2
- Performance ProfilingPerformance profiling principles. Measurement, analysis, and optimization techniques.Votes: 0GitHub stars: 126
- Ag Performance ProfilingPerformance profiling principles. Measurement, analysis, and optimization techniques. Use when you need help with performance profiling.Votes: 0GitHub stars: 8
- Performance OptimizationOptimize application performance with profiling. TRIGGERS - Use when user needs help with performance-optimization related tasks.Votes: 0GitHub stars: 26
- Performance ProfilingMeasure before optimizing and confirm the gain after.Votes: 0GitHub stars: 3
- PerformanceUse for identifying and resolving performance bottlenecks.Votes: 0GitHub stars: 3
- Performance OptimizerUse —Votes: 0GitHub stars: 2
- Performance ProfilingPerformance profiling principles. Measurement, analysis, and optimization techniques.Votes: 0GitHub stars: 227
- Common Performance EngineeringStart with a baseline: measure endpoint latency (including p50/p95/p99), database query count and duration, CPU, memory, and payload size for representative users and order counts. The observed bottleneck is an N+1 query pattern. Replace per-order product lookups with a bounded batch operation: 1. Fetch the user’s orders with pagination and a stable ordering. 2. Extract the distinct product IDs from those orders. 3. Fetch all required products in one query, for example `WHERE id IN (...)`, or...Votes: 0GitHub stars: 549
- Common Performance EngineeringFirst establish a baseline for the page: navigation-to-interactive and largest-contentful-paint timings, JavaScript and network waterfalls, CPU and memory profiles, bundle sizes, table-render time, and scroll/input latency. Test with the real 5000-row dataset on representative hardware and network conditions. The likely bottleneck is rendering and retaining 5000 rows during initial load. Virtualize the table so only the visible viewport plus a small overscan window is mounted. Prefer a table/...Votes: 0GitHub stars: 549
- Application Performance Performance Optimizationcondition: Código não disponível para análiseVotes: 0GitHub stars: 2
- Performance Review对代码变更、Pull Request、分支或工作区 diff 进行聚焦性能评审，关注算法复杂度、数据库查询模式、N+1 风险、分页、缓存、批处理、内存使用、同步 I/O、延迟和负载行为；当 Codex 被要求做性能评审、可扩展性评审、性能剖析计划、基准测试计划或延迟风险评估时使用。Votes: 0GitHub stars: 75
- Performance ScalingCross-model performance optimization and scaling configurations for autonomous agentsVotes: 0GitHub stars: 28
- Performance ProfilerPerformance ProfilerVotes: 0GitHub stars: 2
- Performance ThinkerPerformance optimization mindset - knowing when to optimize, how to measure, where bottlenecks hide, and when "fast enough" is the right answerUse when "slow, performance, optimize, profiling, benchmark, latency, throughput, cache, n+1, bottleneck, memory leak, too slow, speed up, response time, performance, optimization, profiling, caching, latency, throughput, big-o, benchmarking" mentioned.Votes: 0GitHub stars: 137