analytics

Performance-Bookmarklet: Fast Page Analysis

Name: Performance-Bookmarklet: Fast Page Analysis
Author: micmro

Get instant page performance insights with Performance-Bookmarklet, trusted by 1.1k+ GitHub stars, ideal for startup founders optimizing website speed.

intermediate⏱ 5 minutes💵 Free

1,154 stars84 forksJavaScriptGuide quality 8/10Updated 3/3/2023100% free · open source

What it is

Click a bookmarklet to instantly analyze this webpage's speed and performance.

Real use case example

"A startup founder wants to improve their website's loading speed. They click the Performance Bookmarklet on their homepage. The analysis reveals multiple resource loading issues. They use the insights to optimize images and caching, reducing load times by 30% within a week."

Best insideCursorCodex CLIAny AI Client

When to use it

•When you need to quickly identify performance bottlenecks on your website
•When you want to compare the performance of different webpage elements, such as images or scripts
•When you need a lightweight alternative to more comprehensive web performance testing tools

Ready-to-paste prompt

https://example.com #?performance-bookmarklet to run the Performance-Bookmarklet analysis on a specific webpage

Heads up: The Performance-Bookmarklet requires a modern browser that supports the Resource Timing API and Navigation Timing API, so ensure your browser is up-to-date before using the tool

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/performance-bookmarklet && curl -fsSL https://workflowstacks.com/api/skills/performance-bookmarklet/claude-skill -o ~/.claude/skills/performance-bookmarklet/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Performance-Bookmarklet: Fast Page Analysis works

Codeflow

Free to inspect

Performance-Bookmarklet: Fast Page Analysis is a small JavaScript project (~1.7k lines across 23 code files). Setup is light: install Node.js, run one command. Last commit 43 months ago, MIT license, no tests found.

Size

Small codebase

~1.7k lines · 23 code files · 14 min skim

Setup

Light setup

Install Node.js, run one command.

Runs on

Node.js

No API keys detected

JavaScript 91%CSS 9%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
package.json
Dependencies and the commands it exposes
3
src/data.js
Inside src/ — the main logic begins here

What's in each folder

src/Core code — the actual logic23 files

READMENo tests foundThin docsNo CIMIT licenseLast update 43 mo ago

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/performance-bookmarklet && curl -fsSL https://workflowstacks.com/api/skills/performance-bookmarklet/claude-skill -o ~/.claude/skills/performance-bookmarklet/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

micmro

Language

JavaScript