Webperf
- 199 installs
- 1.4k repo stars
- Updated August 2, 2026
- nucliweb/webperf-snippets
Helps with ai & agent building tasks.
About
webperf is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- webperf
- AI & Agent Building
- AI-coding skill
Webperf by the numbers
- 199 all-time installs (skills.sh)
- +4 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #2,897 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/nucliweb/webperf-snippets --skill webperfAdd your badge
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| Installs | 199 |
|---|---|
| repo stars | ★ 1.4k |
| Last updated | August 2, 2026 |
| Repository | nucliweb/webperf-snippets ↗ |
What it does
Helps with ai & agent building tasks.
Files
WebPerf Snippets Toolkit
A collection of 49 JavaScript snippets for measuring and debugging web performance in Chrome DevTools. Each snippet runs in the browser console and outputs structured, color-coded results.
Quick Reference
| Skill | Snippets | Trigger phrases |
|---|---|---|
| webperf-core-web-vitals | 7 | "debug LCP", "slow LCP", "CLS", "layout shifts", "INP", "interaction latency", "responsiveness" |
| webperf-loading | 29 | "TTFB", "slow server", "FCP", "render blocking", "font loading", "script loading", "resource hints", "service worker" |
| webperf-interaction | 9 | "jank", "scroll performance", "long tasks", "animation frames", "INP debug" |
| webperf-media | 3 | "image audit", "lazy loading", "image optimization", "video audit" |
| webperf-resources | 1 | "network quality", "bandwidth", "connection type", "save-data" |
Workflow
1. Identify the relevant skill based on the user's question (see Quick Reference above) 2. Load the skill's skill.md to see available snippets and thresholds 3. Execute with Chrome DevTools MCP:
mcp__chrome-devtools__navigate_page→ navigate to target URLmcp__chrome-devtools__evaluate_script→ run the snippetmcp__chrome-devtools__get_console_message→ read results
4. Interpret results using the thresholds defined in the skill 5. Provide actionable recommendations based on findings
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