Auditing Performance logo

Auditing Performance

Community
spencerpauly
auditing-performance

Audit and optimize application performance, including bundle size, rendering, database queries, and Core Web Vitals.

Overview

Publisherspencerpauly
Repositoryawesome-cursor-skills
Skill nameauditing-performance
Stars
848
Forks
169
Bundled files
Instructions only
LicenseCC0-1.0
Links
  • 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 spencerpauly on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/auditing-performance
  4. 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.
2

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/spencerpauly/awesome-cursor-skills.git /tmp/awesome-cursor-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-cursor-skills/resources/auditing-performance .claude/skills/auditing-performance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Auditing Performance 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 Auditing Performance 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 Auditing Performance 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.

Performance Audit

Use this skill when the user asks to optimize performance, reduce load times, fix slow pages, or audit Core Web Vitals.

Steps

  1. Analyze bundle size

    • Run npx @next/bundle-analyzer (Next.js) or npx vite-bundle-visualizer (Vite) to identify large dependencies.
    • Look for large libraries that could be replaced with lighter alternatives (e.g. moment → date-fns, lodash → individual imports or native methods).
    • Check for duplicated dependencies in the bundle.
    • Verify tree-shaking is working (no barrel file re-exports pulling in unused code).
  2. Audit rendering performance

    • Identify components that re-render unnecessarily — look for inline object/array/function creation in JSX props.
    • Check for expensive computations in render paths that should use useMemo.
    • Verify lists use proper key props (not array index for dynamic lists).
    • Look for layout thrashing (reading DOM measurements then writing styles in a loop).
  3. Check data fetching

    • Identify request waterfalls — sequential API calls that could be parallelized with Promise.all.
    • Look for data fetched on the client that could be fetched on the server.
    • Check for missing pagination on large data sets.
    • Verify API responses aren't over-fetching (returning fields the client doesn't need).
  4. Database query optimization

    • Look for N+1 query patterns (a query per item in a list).
    • Check for missing indexes on columns used in WHERE, ORDER BY, and JOIN clauses.
    • Identify queries that could use SELECT with specific columns instead of SELECT *.
    • Look for missing connection pooling.
  5. Check assets

    • Verify images use modern formats (WebP/AVIF) and are properly sized.
    • Check for missing loading="lazy" on below-the-fold images.
    • Verify fonts use font-display: swap and are preloaded.
    • Check for render-blocking CSS or JavaScript.
  6. Generate recommendations — produce a prioritized list of optimizations ranked by impact (High / Medium / Low) with estimated effort for each.

Notes

  • Focus on measurable improvements — use Lighthouse, WebPageTest, or the Performance tab in DevTools.
  • Don't prematurely optimize — profile first, optimize bottlenecks.
  • For React apps, use React DevTools Profiler to identify slow components.

Frequently asked questions

What does the Auditing Performance AI skill do?

Audit and optimize application performance, including bundle size, rendering, database queries, and Core Web Vitals.

Why use Auditing Performance on TypingMind?

Because you install it once and use it with any model. Auditing Performance 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 Auditing Performance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/auditing-performance. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Auditing Performance?

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 Auditing Performance?

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

Is the Auditing Performance AI skill free?

Yes. It is published on GitHub by spencerpauly under the CC0-1.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇