Lighthouse-based performance optimization with budgets, critical rendering path guidance, and Core Web Vitals alignment.
Works with
Defines resource budgets (1.5 MB total, <300 KB JS, <100 KB CSS) and provides server response optimization (TTFB <800ms, HTTP/2, edge caching)
Covers resource loading strategies: preconnect/preload directives, deferred CSS, script deferral patterns, and code splitting techniques
Includes image optimization (AVIF/WebP selection, responsive markup, LCP
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionperformanceExecute the skills CLI command in your project's root directory to begin installation:
Fetches performance from addyosmani/web-quality-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate performance. Access via /performance in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Deep performance optimization based on Lighthouse performance audits. Focuses on loading speed, runtime efficiency, and resource optimization.
| Resource | Budget | Rationale |
|---|---|---|
| Total page weight | < 1.5 MB | 3G loads in ~4s |
| JavaScript (compressed) | < 300 KB | Parsing + execution time |
| CSS (compressed) | < 100 KB | Render blocking |
| Images (above-fold) | < 500 KB | LCP impact |
| Fonts | < 100 KB | FOIT/FOUT prevention |
| Third-party | < 200 KB | Uncontrolled latency |
Preconnect to required origins:
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://cdn.example.com" crossorigin>
Preload critical resources:
<!-- LCP image -->
<link rel="preload" href="/hero.webp" as="image" fetchpriority="high">
<!-- Critical font -->
<link rel="preload" href="/font.woff2" as="font" type="font/woff2" crossorigin>
Defer non-critical CSS:
<!-- Critical CSS inlined -->
<style>/* Above-fold styles */</style>
<!-- Non-critical CSS -->
<link rel="preload" href="/styles.css" as="style" onload="this.onload=null;this.rel='stylesheet'">
<noscript><link rel="stylesheet" href="/styles.css"></noscript>
Defer non-essential scripts:
<!-- Parser-blocking (avoid) -->
<script src="/critical.js"></script>
<!-- Deferred (preferred) -->
<script defer src="/app.js"></script>
<!-- Async (for independent scripts) -->
<script async src="/analytics.js"></script>
<!-- Module (deferred by default) -->
<script type="module" src="/app.mjs"></script>
Code splitting patterns:
// Route-based splitting
const Dashboard = lazy(() => import('./Dashboard'));
// Component-based splitting
const HeavyChart = lazy(() => import('./HeavyChart'));
// Feature-based splitting
if (user.isPremium) {
const PremiumFeatures = await import('./PremiumFeatures');
}
Tree shaking best practices:
// ❌ Imports entire library
import _ from 'lodash';
_.debounce(fn, 300);
// ✅ Imports only what's needed
import debounce from 'lodash/debounce';
debounce(fn, 300);
| Format | Use case | Browser support |
|---|---|---|
| AVIF | Photos, best compression | 92%+ |
| WebP | Photos, good fallback | 97%+ |
| PNG | Graphics with transparency | Universal |
| SVG | Icons, logos, illustrations | Universal |
<picture>
<!-- AVIF for modern browsers -->
<source
type="image/avif"
srcset="hero-400.avif 400w,
hero-800.avif 800w,
hero-1200.avif 1200w"
sizes="(max-width: 600px) 100vw, 50vw">
<!-- WebP fallback -->
<source
type="image/webp"
srcset="hero-400.webp 400w,
hero-800.webp 800w,
hero-1200.webp 1200w"
sizes="(max-width: 600px) 100vw, 50vw">
<!-- JPEG fallback -->
<img
src="hero-800.jpg"
srcset="hero-400.jpg 400w,
hero-800.jpg 800w,
hero-1200.jpg 1200w"
sizes="(max-width: 600px) 100vw, 50vw"
width="1200"
height="600"
alt="Hero image"
loading="lazy"
decoding="async">
</picture>
<!-- Above-fold LCP image: eager loading, high priority -->
<img
src="hero.webp"
fetchpriorityMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
We added performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
performance has been reliable in day-to-day use. Documentation quality is above average for community skills.
performance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: performance is focused, and the summary matches what you get after install.
performance has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
performance has been reliable in day-to-day use. Documentation quality is above average for community skills.
performance has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: performance is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: performance is focused, and the summary matches what you get after install.
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