Agent skill

performance-benchmark

Comprehensive performance testing framework for load testing, stress testing, and benchmarking. Measures throughput, latency percentiles (p50, p95, p99), and resource utilization. Identifies bottlenecks and detects performance regressions across releases.

View SKILL.md on GitHub Repository
Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/performance-benchmark-chaserbreitenbach-claude-skills-and-ag

Metadata

Additional technical details for this skill

tags
performance load-testing stress-testing benchmarking latency
author
QuantQuiver AI R&D
version
1.0.0
category
testing

SKILL.md

Performance Benchmark Suite

Purpose

Comprehensive performance testing framework for load testing, stress testing, and benchmarking. Measures throughput, latency percentiles, and resource utilization. Identifies bottlenecks and detects performance regressions.

Triggers

Use this skill when:

  • "load test"
  • "benchmark"
  • "performance test"
  • "stress test"
  • "profile this code"
  • "find performance bottlenecks"
  • "measure latency"
  • "check for performance regression"

When to Use

  • Pre-production performance validation
  • Capacity planning
  • SLA verification
  • Release comparison
  • Cost optimization
  • Latency-sensitive applications

When NOT to Use

  • Functional testing (use unit-test-generator)
  • Security testing (use security-test-suite)
  • Data quality validation (use data-validation)

Core Instructions

Performance Test Types

Type Purpose Duration Load Pattern
Baseline Reference metrics Minutes Constant
Load Test Normal capacity Minutes Constant
Stress Test Breaking point Minutes Ramp-up
Spike Test Burst handling Minutes Sudden bursts
Soak Test Memory leaks Hours Constant

Metrics Collected

Metric Description Target
Throughput Requests per second Maximize
Latency (p50) Median response time Minimize
Latency (p95) 95th percentile < SLA
Latency (p99) 99th percentile < SLA
Error Rate Failed requests < 0.1%
CPU Usage Processor utilization < 80%
Memory RAM consumption Stable

Test Scenarios

yaml
scenarios:
  baseline:
    rps: 100
    duration: 300s

  load_test:
    stages:
      - duration: 60s
        target_rps: 100
      - duration: 300s
        target_rps: 500
      - duration: 60s
        target_rps: 100

  stress_test:
    start_rps: 100
    step_rps: 50
    step_duration: 60s
    stop_on_error_rate: 5.0

Templates

Performance Report

markdown
# Performance Benchmark Report

**Target:** {target_url}
**Generated:** {timestamp}

## Executive Summary

| Metric | Value |
| ------ | ----- |
| Total Requests | {total_requests} |
| Best Throughput | {best_rps} RPS |
| Worst p99 Latency | {worst_p99}ms |

## {test_name}

**Duration:** {duration}s
**Throughput:** {rps} RPS
**Error Rate:** {error_rate}%

### Latency Distribution

| Percentile | Latency (ms) |
| ---------- | ------------ |
| p50 | {p50} |
| p95 | {p95} |
| p99 | {p99} |
| Max | {max} |

### Threshold Violations

- {violation_description}

## Recommendations

- {recommendation}

Example

Input: Load test REST API endpoint

Output:

markdown
## Executive Summary

**Overall Status:** PASSED

| Metric | Value |
| ------ | ----- |
| Total Requests | 45,230 |
| Best Throughput | 523.4 RPS |
| Worst p99 Latency | 187.3ms |

## Baseline Test

**Throughput:** 100.0 RPS
**Error Rate:** 0.03%

### Latency Distribution

| Percentile | Latency (ms) |
| ---------- | ------------ |
| p50 | 23.4 |
| p95 | 67.8 |
| p99 | 98.2 |

Validation Checklist

  • System under test is isolated
  • Warmup period completed before measurement
  • Sufficient test duration for statistical significance
  • Resource monitoring data collected
  • Baseline comparison performed (if available)
  • All threshold violations documented
  • Recommendations actionable and specific

Related Skills

  • unit-test-generator - For function-level testing
  • api-contract-validator - For API correctness
  • test-health-monitor - For tracking performance trends

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

majiayu000/claude-skill-registry

agent-ops-spec

Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-state

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-spec

Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-testing

Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-testing

Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.

163 31
Explore
majiayu000/claude-skill-registry

agent-ops-state

Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.

163 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results