webperf-core-web-vitals
Intelligent Core Web Vitals analysis with automated workflows and decision trees. Measures LCP, CLS, INP with guided debugging that automatically determines follow-up analysis based on results.
Install / Use
npx skills add nucliweb/webperf-snippets --skill webperf-core-web-vitalsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Tags
Our assessment of webperf-core-web-vitals
webperf-core-web-vitals scores 86/100 on our quality scale, 1900th of 2,916 Automation skills we index.
Its SKILL.md is 12 KB long, well organised into 26 sections and no code examples: a thorough specification that gives an agent plenty to work with.
With 1,453 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so webperf-core-web-vitals is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
webperf-core-web-vitals compared with similar skills
All 4 of these similar skills score higher than webperf-core-web-vitals; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| webperf-core-web-vitals (this skill)by nucliweb | 86 | 1.5k | 6d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 101.9k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.6k | 2d ago | MCP Server |
| rufloby ruvnet | 100 | 79.1k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 32d ago | SKILL.md |
Frequently asked questions
- How do I install webperf-core-web-vitals?
- Run
npx skills add nucliweb/webperf-snippets --skill webperf-core-web-vitals. The install tabs above show the steps for each supported agent. - Which AI agents does webperf-core-web-vitals work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is webperf-core-web-vitals safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is webperf-core-web-vitals still maintained?
- The repository was last updated 6 days ago, so webperf-core-web-vitals is actively maintained.
Skill content
View source on GitHubname: webperf-core-web-vitals description: Intelligent Core Web Vitals analysis with automated workflows and decision trees. Measures LCP, CLS, INP with guided debugging that automatically determines follow-up analysis based on results. Includes workflows for LCP deep dive (5 phases), CLS investigation (loading vs interaction), INP debugging (latency breakdown + attribution), and cross-skill integration with loading, interaction, and media skills. Use when the user asks about Core Web Vitals, LCP optimization, layout shifts, or interaction responsiveness. Compatible with Chrome DevTools MCP. license: MIT metadata: author: Joan Leon | @nucliweb version: 2.0.1 mcp-server: chrome-devtools category: web-performance repository: https://github.com/nucliweb/webperf-snippets
WebPerf: Core Web Vitals
JavaScript snippets for measuring web performance in Chrome DevTools.
Running a script
- Run the script with
mcp__chrome-devtools__evaluate_scriptand read the object it returns. The scripts have no console output, so the returned object is the result:script,statusand the metric data (value,rating,details,items,issues), as described inreferences/schema.md. - When
statusis"tracking", the script keeps observing the page. After the interactions, call the function named ingetDataFnwith anothermcp__chrome-devtools__evaluate_scriptcall, for examplegetINP(), and read the object it returns. - When
statusis"error"or"unsupported", readerror: the page may not have loaded yet, or the browser lacks the API.
Without Chrome DevTools MCP, run the same snippet with the webperf-snippets CLI, which loads the page in headless Chromium and prints the same result objects: npx webperf-snippets <url> --snippet <Name> --json, where <Name> is the script name without .js. It needs Playwright and Chromium (npm install --save-dev webperf-snippets playwright, then npx playwright install chromium), and tracking snippets take --interact-script <file> to drive the interactions.
Scripts
scripts/CLS.js— Cumulative layout shift (CLS)scripts/INP.js— Interaction to next paint (INP)scripts/LCP-Image-Entropy.js— LCP image entropyscripts/LCP-Subparts.js— LCP subpartsscripts/LCP-Trail.js— LCP trailscripts/LCP-Video-Candidate.js— LCP video candidatescripts/LCP.js— Largest contentful paint (LCP)
Common Workflows
Complete Core Web Vitals Audit
When the user asks for a comprehensive Core Web Vitals analysis or "audit CWV":
- LCP.js - Measure Largest Contentful Paint
- CLS.js - Measure Cumulative Layout Shift
- INP.js - Measure Interaction to Next Paint
- LCP-Subparts.js - Break down LCP timing phases
- LCP-Trail.js - Track LCP candidate evolution
LCP Deep Dive
When LCP is slow or the user asks "debug LCP" or "why is LCP slow":
- LCP.js - Establish baseline LCP value
- LCP-Subparts.js - Break down into TTFB, resource load, render delay
- LCP-Trail.js - Identify all LCP candidates and changes
- LCP-Image-Entropy.js - Check if LCP image has visual complexity issues
- LCP-Video-Candidate.js - Detect if LCP is a video (poster or video element)
CLS Investigation
When layout shifts are detected or the user asks "debug CLS" or "layout shift issues":
- CLS.js - Measure overall CLS score
- Layout-Shift-Loading-and-Interaction.js (pending — available in webperf-interaction skill)
- Cross-reference with webperf-loading skill:
- Find-Above-The-Fold-Lazy-Loaded-Images.js (lazy images causing shifts)
- Fonts-Preloaded-Loaded-and-used-above-the-fold.js (font swap causing shifts)
INP Debugging
When interactions feel slow or the user asks "debug INP" or "slow interactions":
- INP.js - Measure overall INP value; call
getINP()after interactions,getINPDetails()for the 15 slowest interactions - Interactions.js (pending — available in webperf-interaction skill)
- Input-Latency-Breakdown.js (pending — available in webperf-interaction skill)
- Long-Animation-Frames.js (pending — available in webperf-interaction skill)
- Long-Animation-Frames-Script-Attribution.js (pending — available in webperf-interaction skill)
Video as LCP Investigation
When LCP is a video element (detected by LCP-Video-Candidate.js):
- LCP-Video-Candidate.js - Identify video as LCP candidate
- Video-Element-Audit.js (from Media skill) - Audit video loading strategy
- LCP-Subparts.js - Analyze video loading phases
- Cross-reference with webperf-loading skill:
- Resource-Hints-Validation.js (check for video preload)
- Priority-Hints-Audit.js (check for fetchpriority on video)
Image as LCP Investigation
When LCP is an image (most common case):
- LCP.js - Measure LCP timing
- LCP-Subparts.js - Break down timing phases
- LCP-Image-Entropy.js - Analyze image complexity
- Cross-reference with webperf-media skill:
- Image-Element-Audit.js (check format, dimensions, lazy loading)
- Cross-reference with webperf-loading skill:
- Find-Above-The-Fold-Lazy-Loaded-Images.js (check if incorrectly lazy)
- Priority-Hints-Audit.js (check for fetchpriority="high")
- Resource-Hints-Validation.js (check for preload)
Decision Tree
Use this decision tree to automatically run follow-up snippets based on results:
After LCP.js
- If LCP > 2.5s → Run LCP-Subparts.js to diagnose which phase is slow
- If LCP > 4.0s (poor) → Run full LCP deep dive workflow (5 snippets)
- If LCP candidate is an image → Run LCP-Image-Entropy.js and webperf-media:Image-Element-Audit.js
- If LCP candidate is a video → Run LCP-Video-Candidate.js and webperf-media:Video-Element-Audit.js
- Always run → LCP-Trail.js to understand candidate evolution
After LCP-Subparts.js
- If TTFB phase > 600ms → Switch to webperf-loading skill and run TTFB-Sub-Parts.js
- If Resource Load Time > 1500ms → Run:
- webperf-loading:Resource-Hints-Validation.js (check for preload/preconnect)
- webperf-loading:Priority-Hints-Audit.js (check fetchpriority)
- webperf-loading:Find-render-blocking-resources.js (competing resources)
- If Render Delay > 200ms → Run:
- webperf-loading:Find-render-blocking-resources.js (blocking CSS/JS)
- webperf-loading:Script-Loading.js (parser-blocking scripts)
- webperf-interaction:Long-Animation-Frames.js (main thread blocking)
After LCP-Trail.js
- If many LCP candidate changes (>3) → This causes visual instability, investigate:
- webperf-loading:Find-Above-The-Fold-Lazy-Loaded-Images.js (late-loading images)
- webperf-loading:Fonts-Preloaded-Loaded-and-used-above-the-fold.js (font swaps)
- CLS.js (layout shifts contributing to LCP changes)
- If final LCP candidate appears late → Run webperf-loading:Resource-Hints-Validation.js
- If early candidate was replaced → Understand why initial content was pushed down (likely CLS issue)
After LCP-Image-Entropy.js
- If entropy is very high → Image is visually complex, recommend:
- Modern formats (WebP, AVIF)
- Appropriate compression
- Potentially a placeholder strategy
- If entropy is low → Image may be over-optimized or placeholder-like
- If large file size detected → Run webperf-media:Image-Element-Audit.js for format/sizing analysis
After LCP-Video-Candidate.js
- If video is LCP → Run:
- webperf-media:Video-Element-Audit.js (check poster, preload, formats)
- webperf-loading:Priority-Hints-Audit.js (check fetchpriority on poster)
- LCP-Subparts.js (analyze video loading phases)
- If poster image is LCP → Treat as image LCP (run image workflows)
After CLS.js
- If CLS > 0.1 → Run webperf-interaction:Layout-Shift-Loading-and-Interaction.js (pending — available in webperf-interaction skill)
- If CLS > 0.25 (poor) → Run comprehensive shift investigation:
- webperf-loading:Find-Above-The-Fold-Lazy-Loaded-Images.js (images without dimensions)
- webperf-loading:Fonts-Preloaded-Loaded-and-used-above-the-fold.js (font loading strategy)
- webperf-loading:Critical-CSS-Detection.js (late-loading styles)
- webperf-media:Image-Element-Audit.js (missing width/height)
- If CLS = 0 → Confirm with multiple page loads (might be timing-dependent)
After INP.js
- If INP > 200ms → Run webperf-interaction:Interactions.js to identify slow interactions
- If INP > 500ms (poor) → Run full INP debugging workflow:
- webperf-interaction:Interactions.js (list all interactions)
- webperf-interaction:Input-Latency-Breakdown.js (phase breakdown)
- webperf-interaction:Long-Animation-Frames.js (blocking frames)
- webperf-interaction:Long-Animation-Frames-Script-Attribution.js (culprit scripts)
- If specific interaction type is slow (e.g., keyboard) → Focus analysis on that interaction type
- After INP data is collected → call
getINPDetails()for the 15 slowest interactions, slowest first (useful for identifying patterns across multiple slow interactions)
Error Recovery
- If any script returns
status: "error"→ Check if the page has finished loading:- If early in load: wait and re-run the script
- If page is an SPA: user may need to navigate to the target route first
- If LCP.js / LCP-Subparts.js returns
status: "error"→ Tell the user: "LCP data is not available yet. Please ensure the page has fully loaded, then run the analysis again." - If INP.js
getINP()returnsstatus: "error"→ ThegetDataFn: "getINP"field signals the agent can retry after user interaction. Prompt the user to click, type, or scroll, then callgetINP()again.
Cross-Skill Triggers
Context fork note: This skill runs with
context: fork. Cross-skill triggers below are recommendations to report back to the parent agent, not direct calls this subagent can execute. When a cross-skill trigger fires, tell the user which skill and script to run next. Scripts marked (pending) are not yet available — skip them and note the limitation.
These triggers recommend using snippets from other skills:
From LCP to Loading Skill
-
If LCP > 2.5s and TTFB phase is dominant → Use webperf-loading skill:
- TTFB.js, TTFB-Sub-Parts.js, Service-Worker-Analysis.js
-
If LCP image is lazy-loaded → Use webperf-loading skill:
- Find-Above-The-Fold-Lazy-Loaded-Images.js
-
If LCP has no fetchpriority → Use webperf-loading skill:
- Priority-Hints-Audit.js
From CLS to Loading Skill
-
If CLS caused by fonts → Use webperf-loading skill:
- Fonts-Preloaded-Loaded-and-used-above-the-fold.js
- Resource-Hints-Validation.js (for font preload)
-
If CLS caused by images → Use webperf-media skill:
- Image-Element-Audit.js (check for width/height attributes)
From INP to Interaction Skill
- If INP > 200ms → Use webperf-interaction skill for full debugging:
- Interactions.js, Input-Latency-Breakdown.js
- Long-Animation-Frames.js, Long-Animation-Frames-Script-Attribution.js
- LongTask.js (if pre-interaction blocking suspected)
From LCP/INP to Interaction Skill
- If render delay or interaction delay is high → Use webperf-interaction skill:
- Long-Animation-Frames.js (main thread blocking)
- LongTask.js (long tasks delaying rendering)
Multi-Metric Correlation
When multiple CWV metrics are poor, prioritize investigation:
-
If LCP > 2.5s AND CLS > 0.1 → Likely shared root cause:
- Check for late-loading content pushing LCP element
- Run LCP-Trail.js to see LCP candidate changes
- Run Layout-Shift-Loading-and-Interaction.js to correlate timing
-
If LCP > 2.5s AND INP > 200ms → Main thread congestion:
Truncated for display — read the full file on GitHub.
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