A comprehensive performance monitoring tool for tracking Core Web Vitals, API latency, and build speeds to prevent code regressions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install performance-benchmark
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install performance-benchmark using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Performance Benchmark?
The Performance Benchmark skill is a specialized utility for Openclaw Skills that enables developers to establish technical baselines and monitor performance deltas over time. By providing deep insights into both frontend and backend metrics, it helps teams identify exactly how code changes impact the user experience and system efficiency. Whether you are optimizing a React application's bundle size or testing the p99 latency of a Node.js API, this skill provides the structured data needed to make informed architectural decisions.
Designed to integrate seamlessly into modern development workflows, it bridges the gap between coding and performance engineering. It ensures that every change is measured against a known baseline, transforming performance from an afterthought into a primary development metric within the Openclaw Skills ecosystem.
Performance Benchmark Use Cases
- Establishing a performance baseline before starting major architectural refactors.
- Detecting regressions in Core Web Vitals such as LCP, CLS, and INP during frontend development.
- Comparing API latency metrics across different library versions or infrastructure providers.
- Monitoring the growth of JS bundle sizes and their impact on network request counts.
- Measuring the development feedback loop including hot reload (HMR) and TypeScript check times.
How Performance Benchmark Works
- Run the baseline command to capture a snapshot of current performance metrics across your stack.
- Apply code modifications, refactors, or dependency updates to your local environment.
- Execute the comparison mode to measure the new performance state against the previously saved baseline.
- Generate a detailed delta report that highlights changes in latency, file size, and execution speed.
- Review the automated verdict to determine if the changes meet performance SLAs or require further optimization.
Performance Benchmark Setup
To utilize this skill within Openclaw Skills, you should have your preferred benchmarking engine installed, such as k6 for load testing or hyperfine for CLI speed. Use the following commands to manage your metrics:
# Capture current performance as a baseline
benchmark baseline
# Run comparison after making code changes
benchmark compare
Performance Benchmark Data Schema & Taxonomy
The skill organizes performance data within the .benchmarks/ directory, which should be tracked in your version control system. This ensures a historical record of performance evolution.
| Component | Tracked Metrics |
|---|---|
| Page Performance | LCP, CLS, INP, TTFB, Bundle Size, Network Requests |
| API Latency | p50, p95, p99 response times, Status Codes, Load Capacity |
| Build Progress | Cold Build, HMR, Test Suite Duration, Lint/Type-check Time |
| Reports | Markdown tables with Before, After, Delta, and Verdict columns |
Performance Benchmark Advanced Features
- Multi-mode measurement support covering browser, API, and build-time metrics.
- Automated regression alerts based on configurable performance thresholds.
- Integration-ready architecture for CI/CD pipelines and automated canary watching.
- Support for real-browser environment measurements using standard web vitals.
- Comparative analysis for evaluating different technology stack alternatives side-by-side.
SKILL.md
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