Framer Performance Tuning
SkillDev tools'Optimize Framer API performance with caching, batching, and connection
Use Framer Performance Tuning in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Framer Performance Tuning and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Framer Performance Tuning skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/framer-performance-tuning/SKILL.md and read by Ahel’s review.
Prerequisites
A staging site, aggregate performance baseline, approved content/assets, a change owner, and rollback path.
Error Handling
Revert changes that harm accessibility, publishing, privacy, or agreed performance thresholds; retain only redacted telemetry for review.
Examples
Optimize a fictional staging page, compare aggregate performance metrics, and roll back if a synthetic form or route check regresses.
Overview
Optimize Framer plugin, component, and Server API performance. Key areas: CMS sync speed, component render performance, and plugin responsiveness.
Instructions
Step 1: Batch CMS Operations
// Process large collections in batches to avoid timeouts
async function batchSync(collection: any, items: any[], batchSize = 50) {
const total = items.length;
for (let i = 0; i < total; i += batchSize) {
await collection.setItems(items.slice(i, i + batchSize));
const progress = Math.min(i + batchSize, total);
framer.notify(`Synced ${progress}/${total}`);
}
}
Step 2: Optimize Code Component Rendering
import { memo, useMemo } from 'react';
// Memoize expensive components
export default memo(function DataGrid({ data, columns }) {
const processedData = useMemo(() =>
data.map(row => columns.reduce((acc, col) => ({ ...acc, [col.key]: row[col.key] }), {})),
[data, columns]
);
return (
<div style={{ display: 'grid', gridTemplateColumns: `repeat(${columns.length}, 1fr)` }}>
{processedData.map((row, i) => columns.map(col => (
<div key={`${i}-${col.key}`} style={{ padding: 8 }}>{row[col.key]}</div>
)))}
</div>
);
});
Step 3: Persistent WebSocket Connection
// Reuse Server API connection instead of reconnecting each time
let clientInstance: any = null;
async function getClient() {
if (!clientInstance) {
const { framer } = await import('framer-api');
clientInstance = await framer.connect({
apiKey: process.env.FRAMER_API_KEY!,
siteId: process.env.FRAMER_SITE_ID!,
});
}
return clientInstance;
}
Step 4: Image Optimization
// Pre-optimize image URLs before syncing to CMS
function optimizeImageUrl(url: string, width = 800): string {
// Use image CDN if available
if (url.includes('cloudinary.com')) {
return url.replace('/upload/', `/upload/w_${width},q_auto,f_auto/`);
}
if (url.includes('imgix.net')) {
return `${url}?w=${width}&auto=format,compress`;
}
return url;
}
Output
- Batched CMS operations avoiding timeouts
- Memoized components for render performance
- Persistent WebSocket connections
- Image optimization before CMS sync
Resources
Next Steps
For cost optimization, see framer-cost-tuning.
Signals
- GitHub stars
- 3k
- Forks
- 415
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
framer-performance-tuning- Source
- github.com/jeremylongshore/tons-of-skills-marketplace
github.com/jeremylongshore/tons-of-skills-marketplace
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