Runs load tests, profiles application bottlenecks, analyzes response time metrics, and generates performance optimization recommendations. Use when you need to benchmark a system, run load or stress tests, measure latency or throughput, identify performance bottlenecks, optimize Core Web Vitals (LCP, FID, CLS), plan capacity, enforce performance budgets in CI/CD pipelines, or investigate slow API response times, database query performance, or frontend rendering delays.
90
88%
Does it follow best practices?
Impact
92%
1.08xAverage score across 3 eval scenarios
Risky
Do not use without reviewing
k6 load test script structure
Uses k6 tool
100%
100%
Stage: warm-up
100%
100%
Stage: peak and stress
100%
100%
Stage: cool-down
100%
100%
p95 threshold value
0%
100%
Error rate threshold value
0%
100%
handleSummary output file
0%
0%
BASE_URL env var
100%
100%
sleep for think time
100%
100%
k6 run command with JSON output
100%
100%
checks on responses
100%
100%
Performance report and optimization workflow
SLA fail determination
100%
100%
p50/p95/p99 in report
100%
100%
Error rate in report
100%
100%
Throughput in report
100%
100%
Database bottleneck identified
100%
100%
EXPLAIN ANALYZE recommendation
100%
100%
One change at a time
100%
100%
Statistical significance: 3 iterations
100%
100%
Variance threshold
100%
100%
Test configuration section
100%
100%
Next steps section
100%
100%
Reproduce before fixing
75%
75%
CI/CD performance gates and Core Web Vitals
LCP: preload hero image
100%
100%
LCP: WebP or AVIF format
0%
0%
CLS: reserved space for images
100%
100%
CLS: no above-fold injection
100%
100%
FID/INP: break up long task
100%
77%
FID/INP: defer non-critical JS
100%
100%
Measurement tools mentioned
100%
100%
CI p95 threshold
55%
100%
CI error rate threshold
100%
100%
CI build fails on threshold breach
100%
100%
CI runs on pull requests
100%
100%
k6 JSON output flag
100%
100%
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Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.