perf-benchmarker
$
npx mdskill add ComposioHQ/awesome-claude-plugins/perf-benchmarkerRun sequential performance benchmarks with strict duration rules for validating regressions or establishing baselines.
- Helps with running performance benchmarks, establishing baselines, or validating regressions using sequential runs.
- Integrates with or depends on following documented performance requirements and enforcing specific runtime constraints.
- Decides based on enforcing minimum run durations and sequential execution, with exceptions for binary search phases.
- Presents results in a structured output format with JSON metrics blocks for clear data reporting.
SKILL.md
.github/skills/perf-benchmarkerView on GitHub ↗
---
name: perf-benchmarker
description: "Use when running performance benchmarks, establishing baselines, or validating regressions with sequential runs. Enforces 60s minimum runs (30s only for binary search) and no parallel benchmarks."
version: 1.0.0
argument-hint: "<command> [duration]"
---
# perf-benchmarker
Run sequential benchmarks with strict duration rules.
Follow `docs/perf-requirements.md` as the canonical contract.
## Required Rules
- Benchmarks MUST run sequentially (never parallel).
- Minimum duration: 60s per run (30s only for binary search).
- Warmup: 10s minimum before measurement.
- Re-run anomalies.
## Output Format
```
command: <benchmark command>
duration: <seconds>
warmup: <seconds>
results: <metrics summary>
notes: <anomalies or reruns>
```
## Output Contract
Benchmarks MUST emit a JSON metrics block between markers:
```
PERF_METRICS_START
{"scenarios":{"low":{"latency_ms":120},"high":{"latency_ms":450}}}
PERF_METRICS_END
```
## Constraints
- No short runs unless binary-search phase.
- Do not change code while benchmarking.
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