Agent skill · software engineering · aiskillstore

optimizing-performance

Analyzes and optimizes application performance across frontend, backend, and database layers. Use when diagnosing slowness, improving load times, optimizing queries, reducing bundle size, or when asked about performance issues.

Why this skill is useful

Provides specific performance optimization techniques and commands across frontend, backend, and database layers that the AI wouldn't reliably generate on its own.

What it needs

About 3k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

Optimizing Performance Performance Optimization Workflow Copy this checklist and track progress: Critical Rule: Never optimize without data. Always profile before and after changes. Step 1: Measure Baseline Profiling Commands Step 2: Identify Bottlenecks Common Bottleneck Categories Category Symptoms Tools ---------- ---------- ------- CPU High CPU usage, slow computation Profiler, flame graphs Memory High RAM, GC pauses, OOM Heap snapshots, memory profiler I/O Slow disk/network, waiting strace, network inspector Database Slow queries, lock contention Query analyzer, EXPLAIN Step 3: Apply Optimizations Frontend Optimizations Bundle Size: Rendering: Images: Backend Optimizations Database Queries: Caching Strategy: Async Processing: Algorithm Optimizations Step 4: Measure Again After applying optimizations, re-run profiling and compare: Performance Targets Web Vitals Metric Good Needs Work Poor -------- ------ ------------ ------ LCP < 2.5s 2.5-4s > 4s FID < 100ms 100-300ms > 300ms CLS < 0.1 0.1-0.25 > 0.25 TTFB < 800ms 800ms-1.8s > 1.8s API Performance Metric Target -------- -------- P50 Latency < 100ms P95 Latency < 500ms P99 Latency < 1s Error Rate < 0.1% Validation After optimization, validate results: If targets not met, return to Step 2 and identify remaining bottlenecks.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/optimizing-performance

View the source on GitHub

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