“performance”

Performance profiling and SwiftUI debugging skills — Instruments guidance, hangs, memory issues, slow launches, energy drain, unnecessary re-renders, and view…

Optimization patterns (lazy loading, caching, batching), database and frontend performance.

Use for memory, CPU, latency, and query-performance investigations, plus dependency-upgrade blast-radius analysis.

Measure and improve frontend loading, rendering, interaction, asset, and bundle performance.

Change hot paths, workloads, benchmarks or performance baselines (make perf-smoke, make perf-ci, make perf-baseline-propose).

Diagnose and improve frontend, backend, database, build, memory, CPU, and network performance.

Optimize web performance for faster loading and better user experience.

Diagnose and improve application performance using measurement, profiling, query analysis, bundle/runtime inspection, and regression verification.

Use when a task is large enough to press the context window, when choosing plan mode or extended thinking, or when a build fails and needs incremental…

Use when designing or building an API, a query, a list or a page that reads data.

Audit and prioritize performance work through bounded-work and forward-progress checks.

Run an evaluator-gated performance optimization workflow over Codex goal mode with durable OMX artifacts and safe goal handoffs.

Profile and optimize Rust CPU, memory, I/O, async, and build performance with representative benchmarks.

Profile and optimize Python CPU, memory, I/O, concurrency, and numerical performance.

Official GSAP skill for performance — prefer transforms, avoid layout thrashing, will-change, batching.

Profile and optimize Go CPU, allocations, GC, concurrency, and I/O with benchmarks and pprof.

Diagnose GSAP and ScrollTrigger performance.

Check live performance KPIs from connected analytics: RAG status, trends, actions.

Go performance analysis: memory allocation, CPU bottlenecks, concurrency contention, struct alignment, escape analysis, and benchmarking patterns.

Performance optimization patterns for Mandu applications.

Generate affiliate performance reports with KPIs and recommendations.

Write a stakeholder performance report from data.

Optimizes Tackl apps for Web Vitals, reduced motion, and scroll performance.

Performance work in OpenClaw: a slow or heavy flow (latency, CPU, memory, SQL, RPC, renders), writing or reviewing a perf PR, or adding a cache.