benchmark
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after comparison stored in git-tracked .ecc/benchmarks JSON. Use when checking page speed, responding to 'it feels slow' reports, verifying launch performance targets, or comparing stack alternatives.
Target: Software development & testing. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
Read the original English text
Topics in the source
- Benchmark — Performance Baseline & Regression Detection
- When to Use
- How It Works
- Mode 1: Page Performance
- Mode 2: API Performance
- Mode 3: Build Performance
- Mode 4: Before/After Comparison
- Output
Before and after a PR to measure performance impact Setting up performance baselines for a project When users report "it feels slow" Before a launch — ensure you meet performance targets Comparing your stack against alternatives Measures real browser metrics via browser MCP: Benchmarks API endpoints: Measures development feedback loop: Run before and after a change to measure impact: Output: Stores baselines in .ecc/benchmarks/ as JSON. Git-tracked so the team shares baselines. CI: run /benchmark compare on every PR Pair with /canary-watch for post-deploy monitoring Pair with /browser-qa for full pre-ship checklist
- Source repository
- affaan-m/ECC
- Source file
- pi/core/skills/benchmark/SKILL.md
- Fixed revision
- d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
Requirements
- Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.
A small first task
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Author: affaan-m/ECC · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T15:01:42.853Z.
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License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
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