Performance Baseline Capturer Skill

SkillDev tools

Capture performance baselines before migration for regression comparison and SLA verification

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Performance Baseline Capturer Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/code-migration-modernization/skills/performance-baseline-capturer/SKILL.md and read by ahel’s review.

Captures comprehensive performance baselines before migration to enable post-migration regression comparison and SLA verification.

Purpose

Enable performance benchmarking for:

  • Response time measurement
  • Throughput baseline
  • Resource utilization tracking
  • Load test execution
  • Percentile calculation

Capabilities

1. Response Time Measurement

  • Capture response times
  • Measure latency percentiles
  • Track by endpoint
  • Document SLA targets

2. Throughput Baseline

  • Measure requests per second
  • Track concurrent users
  • Document peak capacity
  • Establish limits

3. Resource Utilization Tracking

  • Monitor CPU usage
  • Track memory consumption
  • Measure disk I/O
  • Record network usage

4. Load Test Execution

  • Run baseline load tests
  • Execute stress tests
  • Perform soak tests
  • Document results

5. Percentile Calculation

  • Calculate P50/P90/P95/P99
  • Track distribution
  • Identify outliers
  • Set thresholds

6. Regression Threshold Setting

  • Define acceptable ranges
  • Set alert thresholds
  • Document tolerances
  • Create comparison criteria

Tool Integrations

ToolPurposeIntegration Method
JMeterLoad testingCLI
GatlingPerformance testingCLI
k6Modern load testingCLI
LocustPython load testingCLI
ArtilleryNode.js testingCLI
wrkHTTP benchmarkingCLI

Output Schema

{
  "baselineId": "string",
  "timestamp": "ISO8601",
  "environment": {
    "name": "string",
    "resources": {}
  },
  "metrics": {
    "responseTime": {
      "p50": "number",
      "p90": "number",
      "p95": "number",
      "p99": "number",
      "mean": "number"
    },
    "throughput": {
      "requestsPerSecond": "number",
      "peakRps": "number",
      "concurrentUsers": "number"
    },
    "resources": {
      "cpu": {},
      "memory": {},
      "disk": {},
      "network": {}
    }
  },
  "thresholds": {
    "responseTime": {},
    "throughput": {},
    "errors": {}
  }
}

Integration with Migration Processes

  • migration-testing-strategy: Baseline establishment
  • performance-optimization-migration: Performance tracking

Related Skills

  • migration-validator: Post-migration comparison
  • test-coverage-analyzer: Test planning

Related Agents

  • performance-validation-agent: Performance verification
  • migration-testing-strategist: Test planning

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
performance-baseline-capturer
Source
github.com/a5c-ai/babysitter