performance-testing

Plan SLOs, run k6 load tests, and analyze bottlenecks across application layers.

Updated Jan 4, 2026
One-click install
npx skills add https://github.com/natea/ai-news-influencer --skill performance-testing-natea
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-testing
Source: https://github.com/natea/ai-news-influencer/tree/main/.claude/skills/performance-testing
Command: npx skills add https://github.com/natea/ai-news-influencer --skill performance-testing-natea

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performance testing helps ensure applications meet reliability and scalability goals by proactively identifying bottlenecks, latency, and resource constraints before release.

Core Features & Use Cases

  • Agent-assisted load and stress testing using k6 and CI integrations.
  • Scenario modeling for realistic traffic patterns and end-to-end workflows.
  • Bottleneck analysis and baseline comparisons against production.

Quick Start

Run a representative performance test in your CI pipeline to generate a baseline for p95 latency and throughput.

Frequently Asked Questions about performance-testing

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

FAQPage Schema
How do I identify performance bottlenecks and establish latency baselines for my application?

Performance bottlenecks are identified by running agent-assisted load tests with k6 to measure p95 latency, throughput, and error rate, establishing clear baselines for your system under varying traffic conditions.

How do I design realistic load testing scenarios for end-to-end API workflows?

Realistic load testing scenarios are designed by modeling actual traffic patterns and end-to-end workflows, allowing k6 to simulate varying load conditions against your frontend, API, and database layers.

Can I run k6 performance tests automatically in my CI CD pipeline?

Yes, k6 performance tests can be integrated and executed automatically within your CI CD pipeline to ensure reproducible test setups and generate consistent performance baselines before release.

What metrics should I track to measure scalability and latency during stress testing?

Scalability and latency are measured using key metrics like p95 response times, overall throughput, and error rate, which are collected during stress testing to analyze system behavior under varying load.

How do I plan SLOs for performance testing against production workloads?

SLOs for performance testing are planned by defining acceptable thresholds for p95 latency, throughput, and error rate, then comparing baseline test results against production performance expectations.

What is the best way to analyze database and frontend bottlenecks found during load testing?

Bottlenecks across frontend, API, and database layers are analyzed by collecting metrics during k6 test execution and comparing baseline results to isolate latency and resource constraints under load.