New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Framer Performance Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Optimize Framer API performance with caching, batching, and connection pooling.

MITAuto-check passedBackend & APIs

Install Framer Performance Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill framer-performance-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace framer-performance-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/framer-performance-tuning .claude/skills/framer-performance-tuning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
framer-performance-tuning
GitHub stars
2.8k
Token cost
~882 tokens
SKILL.md length
130 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize Framer API performance with caching, batching, and connection pooling.

  • Works in 4 steps: Batch CMS Operations → Optimize Code Component Rendering → Persistent WebSocket Connection → …
  • Experiencing slow API responses
  • SKILL.md covers Prerequisites, Error Handling, Examples and Overview, plus 4 more sections
  • Needs FRAMER_API_KEY

What it does

Framer Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Framer API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Framer integrations. Trigger with phrases like "framer performance", "optimize framer", "framer latency", "framer caching", "framer slow", "framer batch".

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Backend & APIs, covering Caching and Database administration. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Experiencing slow API responses
  • Implementing caching strategies
  • Optimizing request throughput for Framer integrations
  • With phrases like framer performance

Example prompts

  • “framer performance”
  • “optimize framer”
  • “framer latency”
  • “/framer-performance-tuning”

Requirements

  • A credential in FRAMER_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Batch CMS Operations
  2. Optimize Code Component Rendering
  3. Persistent WebSocket Connection
  4. Image Optimization

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • framer.com
    • react.dev

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • FRAMER_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Framer Performance Tuning loads about 882 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 130 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~882

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 130 words, ~882 tokens.

Download SKILL.mdSave it as .claude/skills/framer-performance-tuning/SKILL.md (or your agent's skills folder).
name
framer-performance-tuning
description
Optimize Framer API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Framer integrations. Trigger with phrases like "framer performance", "optimize framer", "framer latency", "framer caching", "framer slow", "framer batch".
allowed-tools
Read, Write, Edit
compatibility
Designed for Claude Code
version
1.5.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, framer

Framer Performance Tuning

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
typescript
// 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
tsx
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
typescript
// 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
typescript
// 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.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/framer-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Framer Performance Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Framer Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Framer Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~882Automated safety check: PassMIT
Golang Samber Hotsamber/cc-skills-golang3.4k—~2kAutomated safety check: PassMIT
Upstash Redissickn33/agentic-awesome-skills47k1 repos~1.5kAutomated safety check: PassMIT
Redis Connectionsredis/agent-skills1661 repos~1.3kAutomated safety check: PassMIT
Frappe Core DatabaseImpertio-Studio/Frappe_Claude_Skill_Package189—~3.8kAutomated safety check: PassMIT
Golang Samber Hotcontext-labs/whip1.1k—~1.9kAutomated safety check: PassMIT

Similar skills

  • Golang Samber Hot

    samber/cc-skills-golang

    In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing…

    3.4k GitHub stars~2k tokensUpdated 9 days ago
    DevOps & CloudAuto-check passed

  • Upstash Redis

    sickn33/agentic-awesome-skills

    Use the @upstash/redis HTTP client for caching, sessions, counters, and Redis data structures from serverless and edge runtimes without connection pooling.

    47k GitHub starsUsed in 1 repo~1.5k tokens
    Backend & APIsAuto-check passed

  • Redis Connections

    redis/agent-skills

    Official

    Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket…

    166 GitHub starsUsed in 1 repo~1.3k tokens
    DatabasesAuto-check passed

  • Frappe Core Database

    Impertio-Studio/Frappe_Claude_Skill_Package

    A skill your agent uses when performing database operations in ERPNext/Frappe v14-v16.

    189 GitHub stars~3.8k tokensUpdated 24 days ago
    DatabasesAuto-check passed

  • Golang Samber Hot

    context-labs/whip

    In-memory caching in Go using samber/hot — eviction (LRU, LFU, TinyLFU, S3FIFO, ARC, SIEVE), TTL, loaders, sharding, stale-while-revalidate, missing-key caching, metrics.

    1.1k GitHub stars~1.9k tokensUpdated 6 days ago
    DatabasesAuto-check passed

  • Designing Distributed Systems

    ancoleman/ai-design-components

    When designing distributed systems for scalability, reliability, and consistency.

    525 GitHub stars~4.3k tokensUpdated 10 mo ago
    Backend & APIsAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo

  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes

  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed

  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed

  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Categories

Questions about Framer Performance Tuning

What does Framer Performance Tuning do?

Optimize Framer API performance with caching, batching, and connection pooling. Framer Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Framer API performance with caching, batching, and connection pooling.

When should I use Framer Performance Tuning?

Framer Performance Tuning fits situations like: experiencing slow API responses; implementing caching strategies; optimizing request throughput for Framer integrations; with phrases like framer performance.

How do I install Framer Performance Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill framer-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/framer-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/framer-performance-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Framer Performance Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill framer-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/framer-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/framer-performance-tuning in your project. Codex loads it when a task matches its description.

Can I use Framer Performance Tuning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill framer-performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/framer-performance-tuning, .gemini/skills/framer-performance-tuning, .github/skills/framer-performance-tuning and .opencode/skills/framer-performance-tuning in your project.

What does Framer Performance Tuning need to run?

Going by SKILL.md and its folder, Framer Performance Tuning needs credentials named FRAMER_API_KEY. Our summary lists: A credential in FRAMER_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Framer Performance Tuning access the network?

SKILL.md names 2 domains. As links in the text: framer.com and react.dev. This is read from the text; nothing was executed.

Is Framer Performance Tuning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Framer Performance Tuning use?

Framer Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Framer Performance Tuning use?

About 882 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Framer Performance Tuning?

Skills that share tags, products or a category with Framer Performance Tuning: Golang Samber Hot (samber/cc-skills-golang, 3.4k stars), Upstash Redis (sickn33/agentic-awesome-skills, 47k stars), Redis Connections (redis/agent-skills, 166 stars) and Frappe Core Database (Impertio-Studio/Frappe_Claude_Skill_Package, 189 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Framer Performance Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.