performance-baseline-capturer
Capture performance baselines before migration for regression comparison and SLA verification
Best use case
performance-baseline-capturer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Capture performance baselines before migration for regression comparison and SLA verification
Teams using performance-baseline-capturer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/performance-baseline-capturer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How performance-baseline-capturer Compares
| Feature / Agent | performance-baseline-capturer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Capture performance baselines before migration for regression comparison and SLA verification
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Performance Baseline Capturer Skill
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
| Tool | Purpose | Integration Method |
|------|---------|-------------------|
| JMeter | Load testing | CLI |
| Gatling | Performance testing | CLI |
| k6 | Modern load testing | CLI |
| Locust | Python load testing | CLI |
| Artillery | Node.js testing | CLI |
| wrk | HTTP benchmarking | CLI |
## Output Schema
```json
{
"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 planningRelated Skills
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