Analyze and optimize system performance under load with k6 or Artillery.
npx skills add https://github.com/ryan-nguyen-01/agent-platform --skill agent-perf
Please help me install this Agent Skill. Skill: agent-perf Source: https://github.com/ryan-nguyen-01/agent-platform/tree/main/.claude/Agents/agent-perf Command: npx skills add https://github.com/ryan-nguyen-01/agent-platform --skill agent-perf
Performance bottlenecks drain user experience and hinder growth. This Skill helps teams identify and optimize performance across APIs, frontend bundles, and infrastructure to meet SLAs.
Run the performance workflow starting with a budget, then execute load tests and profiling to validate system performance.
High-intent search queries and answers about installing and using this skill.
You can test API performance under load by executing load tests with k6 or Artillery to simulate normal, peak, spike, and soak conditions. This validates whether your system meets the defined performance budget and SLA targets.
Setting a performance budget involves defining explicit targets for API latency, frontend Core Web Vitals, and database query execution times. This establishes baseline thresholds to enforce before running subsequent load testing and profiling phases.
The best way to profile system bottlenecks is by analyzing traces, flame graphs, and heap snapshots after executing load tests. This identifies specific performance constraints in backend APIs, frontend bundles, or infrastructure components.
Yes, this performance workflow supports capacity planning by projecting scaling needs based on load test results. It guides resource allocation to ensure infrastructure handles normal, peak, spike, and soak traffic conditions effectively.
Yes, you can analyze frontend bundle size and improve code-splitting through dedicated bundle analysis. This identifies optimization opportunities to reduce payload size and meet frontend performance budgets for Core Web Vitals.
System performance degrades during spike load testing when bottlenecks exceed capacity limits defined in your performance budget. Profiling tools like traces and flame graphs identify the specific infrastructure or API constraints causing the degradation.
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