Webperf

CommunityPopular

nucliweb

webperf

Web performance measurement and debugging toolkit. Use when the user asks about web performance, wants to audit a page, or says "analyze performance", "debug lcp", "check ttfb", "measure core web vitals", "audit images", or similar.

Overview

Publisher	nucliweb
Repository	`webperf-snippets`
Skill name	`webperf`
Stars	1.5K
Forks	90
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by nucliweb on GitHub. Read the source before you install it.

Installation

Install the Webperf AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/nucliweb/webperf-snippets/tree/main/.claude/skills/webperf
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/nucliweb/webperf-snippets.git /tmp/webperf-snippets
mkdir -p .claude/skills
cp -r /tmp/webperf-snippets/.claude/skills/webperf .claude/skills/webperf

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Webperf in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Webperf on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Webperf is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WebPerf Snippets Toolkit

A collection of 56 JavaScript snippets for measuring and debugging web performance in Chrome DevTools. Each snippet runs in the page and returns a structured result object.

Quick Reference

Skill	Snippets	Trigger phrases
webperf-core-web-vitals	7	"debug LCP", "slow LCP", "CLS", "layout shifts", "INP", "interaction latency", "responsiveness"
webperf-loading	34	"TTFB", "slow server", "FCP", "render blocking", "font loading", "script loading", "resource hints", "service worker"
webperf-interaction	10	"jank", "scroll performance", "long tasks", "animation frames", "INP debug"
webperf-media	4	"image audit", "lazy loading", "image optimization", "video audit"
webperf-resources	1	"network quality", "bandwidth", "connection type", "save-data"

Workflow

Identify the relevant skill based on the user's question (see Quick Reference above)
Load the skill's SKILL.md to see available snippets and thresholds
Execute with Chrome DevTools MCP:
- mcp__chrome-devtools__navigate_page → navigate to target URL
- mcp__chrome-devtools__evaluate_script → run the snippet and read the returned object, which is the result (the scripts have no console output)
- status: "tracking" → call the function named in getDataFn with another mcp__chrome-devtools__evaluate_script call after the interactions
- Without Chrome DevTools MCP, run the snippet with the CLI: npx webperf-snippets <url> --snippet <Name> --json
Interpret results using the thresholds defined in the skill
Provide actionable recommendations based on findings

Frequently asked questions

What does the Webperf AI skill do?

Why use Webperf on TypingMind?

Because you install it once and use it with any model. Webperf is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Webperf in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nucliweb/webperf-snippets/tree/main/.claude/skills/webperf. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Webperf?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Webperf?

As many as you like. As long as a model supports skills, you can use Webperf with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Webperf AI skill free?

Yes. It is published on GitHub by nucliweb under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

WebPerf Snippets Toolkit

Quick Reference

Workflow

Frequently asked questions

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