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performance-engineer

Diagnose and optimize application performance using observability, profiling, and load testing.

1|Updated May 10, 2026
Search Tags:#caching#performance optimization#profiling#observability#load testing#opentelemetry#core web vitals
One-click install
npx skills add https://github.com/Tgoldi/claude-skills --skill performance-engineer-tgoldi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-engineer
Source: https://github.com/Tgoldi/claude-skills/tree/main/performance-engineer
Command: npx skills add https://github.com/Tgoldi/claude-skills --skill performance-engineer-tgoldi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Slow applications, hidden bottlenecks, and unmonitored systems degrade user experience and inflate infrastructure costs. This Skill provides a structured performance engineering workflow to measure baselines, isolate bottlenecks, and implement validated optimizations across frontend, backend, and infrastructure layers. ## Core Features & Use Cases - Observability & Monitoring: Set up OpenTelemetry distributed tracing, Prometheus/Grafana metrics, APM platforms, and Real User Monitoring with Core Web Vitals tracking. - Profiling & Load Testing: Analyze CPU, memory, and I/O with flame graphs and heap analysis, then validate with k6, JMeter, Gatling, or Locust load tests. - Multi-Tier Optimization: Optimize caching layers (Redis, CDN, browser), database queries, frontend bundles, and cloud auto-scaling configurations. - Use Case: Your API latency spiked after a release. Use this Skill to correlate distributed traces, profile the slow endpoints, propose caching and query optimizations, and set performance budgets to prevent regression. ## Quick Start Ask the assistant to analyze your application's performance bottlenecks and propose an optimization plan with monitoring and load testing.

Frequently Asked Questions about performance-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose performance bottlenecks in a web application?▼

Start by establishing a baseline with metrics and profiling, then use distributed tracing to isolate slow services or endpoints. This Skill guides CPU, memory, and I/O profiling with flame graphs and heap analysis to pinpoint the highest-impact bottlenecks first.

What load testing tools should I use for API performance testing?▼

k6, JMeter, Gatling, Locust, and Artillery are all supported for load testing REST, GraphQL, and WebSocket APIs. The Skill helps design realistic traffic scenarios, set performance budgets, and integrate regression detection into CI/CD pipelines.

How do I set up OpenTelemetry distributed tracing?▼

OpenTelemetry instrumentation collects traces and metrics across services, which can be exported to platforms like Jaeger, Honeycomb, Prometheus, or Grafana. The Skill covers correlation across services, SLI/SLO tracking, and alerting configuration.

Can this help improve Core Web Vitals scores?▼

Yes, it covers LCP, FID, and CLS optimization through image optimization, lazy loading, bundle splitting, critical CSS, and HTTP/2 or HTTP/3 delivery. It also sets up Real User Monitoring to track user-perceived performance over time.

When should I not run load tests against production?▼

Avoid load testing production without explicit approvals and safeguards such as traffic isolation and rate limits. The Skill recommends staging environments, staged rollouts, and rollback plans for high-risk performance changes.

What caching strategy works for high-traffic applications?▼

Multi-tier caching combines application-level in-memory caches, distributed stores like Redis or Memcached, database query caching, CDN edge caching, and browser cache headers. The Skill helps choose layers and define invalidation strategies per workload.

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