Performance benchmark suite

Skill a5c-ai/babysitter/library/specializations/sdk-platform-development/skills/performance-benchmark-suite

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Install

npx -y skills add a5c-ai/babysitter --skill performance-benchmark-suite

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SDK performance benchmarking and regression detection

SKILL.md

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Performance Benchmark Suite Skill

Overview

This skill implements comprehensive SDK performance benchmarking, tracking latency, throughput, memory usage, and detecting performance regressions across versions.

Capabilities

Measure latency percentiles (p50, p95, p99)
Track memory usage and allocation patterns
Detect performance regressions automatically
Generate visual benchmark reports
Compare performance across SDK versions
Implement microbenchmarks for critical paths
Configure continuous benchmarking in CI
Support load testing scenarios

Target Processes

Performance Benchmarking
SDK Testing Strategy
SDK Versioning and Release Management

Integration Points

k6 for load testing
Artillery for HTTP benchmarking
hyperfine for CLI benchmarking
Benchmark.js for JavaScript
pytest-benchmark for Python
Continuous benchmark systems (Bencher)

Input Requirements

Performance requirements (SLOs)
Benchmark scenarios
Baseline versions for comparison
Environment specifications
Reporting requirements

Output Artifacts

Benchmark test suite
Performance baseline data
Regression detection rules
Visual benchmark reports
CI benchmark configuration
Historical trend analysis

Usage Example

skill:
  name: performance-benchmark-suite
  context:
    tool: k6
    scenarios:
      - name: basic-crud
        operations: ["create", "read", "update", "delete"]
        vus: 10
        duration: "30s"
      - name: high-load
        vus: 100
        duration: "5m"
    slos:
      p95_latency: "100ms"
      p99_latency: "500ms"
      error_rate: "0.1%"
    compareWith: "v1.0.0"
    regressionThreshold: "10%"

Best Practices

Establish baselines before optimization
Track percentiles, not just averages
Run benchmarks in consistent environments
Automate regression detection in CI
Monitor memory alongside latency
Document benchmark methodology