Browse Secure Claude Skills
Search verified agent skills and review security grades before installing · full A–Z index
- PerformanceRendimiento Flutter. Use when optimizing performance or profiling code.Votes: 0GitHub stars: 105
- Performance OptimizationDiagnoses and improves measured latency, throughput, memory, CPU, bundle, rendering, query, or resource performance by defining a target, profiling a representative workload, locating the bottleneck, making one change at a time, and comparing before/after evidence. Use for performance work or regressions. Not for guessing optimizations without a reproducible workload or for generic refactoring.Votes: 0GitHub stars: 95
- Performance BenchmarkerEstablishes, measures, and validates performance benchmarks for APIs, AI systems, and application infrastructure — ensuring every component meets its SLA thresholds and no regression escapes into production.Votes: 0GitHub stars: 2
- PerformanceUse when optimizing performance — measure before you optimize: profile, identify bottlenecks, then improve. Triggers on "webperf", "performance regression", "慢", "性能优化", "性能调优" — also when user says "太慢了" / "卡顿".Votes: 0GitHub stars: 3
- Performance EngineerExpert performance engineer specializing in modern observability, applicationVotes: 0GitHub stars: 6
- PerformanceDiagnose and improve runtime performance including N+1 queries, slow queries, caching, latency, memory, throughput, and resource efficiency using framework-agnostic principles.Votes: 0GitHub stars: 3
- Ag Performance EngineerExpert performance engineer specializing in modern observability,. Use when you need help with performance engineer.Votes: 0GitHub stars: 8
- Performance OptimizationMake code measurably faster by profiling first and fixing the actual bottleneck. Use when something is slow, uses too much memory, or needs to handle more load.Votes: 0GitHub stars: 7
- PerformancePerformance Optimization - React Native. Use when optimizing performance or profiling code.Votes: 0GitHub stars: 105
- Performance EngineerExpert performance engineer specializing in modern observability,Votes: 0GitHub stars: 46,327
- Performance EngineerExpert performance engineer specializing in modern observability,Votes: 0GitHub stars: 45,848
- Performance OptimizationAct as a senior performance engineer optimizing a production application used by millions of users: maximize speed, lower memory usage, improve scalability, speed up rendering, and clean up execution. Identifies performance bottlenecks, inefficient logic, unnecessary rendering, expensive operations, and memory leaks, then delivers a performance issue breakdown, optimization strategies, improved production-ready code, and scalability recommendations. Use when the user asks to optimize performa...Votes: 0GitHub stars: 3
- Performance Profiler分析代码性能，识别瓶颈并提供优化建议。Votes: 0GitHub stars: 14
- Ag Performance ProfilingPerformance profiling principles. Measurement, analysis, and optimization techniques. Use when you need help with performance profiling.Votes: 0GitHub stars: 8
- Performance ReviewGenerate performance review documentation and facilitate evaluation processesVotes: 0GitHub stars: 1,760
- Performance TestingBenchmark code so the numbers mean something: warm up, fix inputs, report variance, and gate regressions in CI. Use when measuring the speed of a function or comparing two implementations.Votes: 0GitHub stars: 7
- PerformancePerformance work as measurement discipline — baseline first, one change at a time, beat the noise, and a keep/revert verdict where neutral is a revert. INVOKE when making anything faster or lighter, investigating slowness, or reviewing an optimization — "optimize", "too slow", "reduce latency/bundle size" — even mid-build. NOT for diagnosing functional bugs ([[debugging]]) or query-shape hygiene while writing ordinary code ([[code-standards]] §5).Votes: 0GitHub stars: 3
- Performance CapacityPlan, diagnose, and verify performance budgets, latency targets, load tests, capacity estimates, bottleneck analysis, caching strategy, query efficiency, queue throughput, and regression gates. Use when a feature may be slow, a system must scale, a performance regression is suspected, or release readiness depends on throughput, cost, memory, CPU, or response time.Votes: 0GitHub stars: 286
- Performance HunterPerformance optimization specialist — profiling, caching, latency, N+1, connection pools, p99 tail latency, async, load-testing. Use when performance, slow queries, profiling, caching, optimization, or database latency are mentioned.Votes: 0GitHub stars: 4
- PerformanceStack-agnostic performance: measure first, find the bottleneck, then optimise. N+1, needless allocation, wrong async boundary, missing index/cache, heavy payload. No premature optimisation. Use when something is slow, before optimising anything, and when a change touches a hot path.Votes: 0GitHub stars: 24