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Web Performance Optimization

Listed
bobmatnyc·vlatest·frontend·MIT

Helps with web development, performance optimization, optimization as part of building frontend UIs and user experiences workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bobmatnyc/claude-mpm-skills --skill web-performance-optimization -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bobmatnyc

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: www.webpagetest.org.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    www.webpagetest.orgundeclared

    What it found

    • universal/web/web-performance-optimization/references/monitoring.md:675contacts www.webpagetest.org
      curl "https://www.webpagetest.org/runtest.php?url=https://example.com&k=YOUR_API_KEY&f=json"

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
718070a7d6
Manifest
universal/web/web-performance-optimization/SKILL.md
Scanned
8 files, 6,041 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to analyze and improve the loading speed, responsiveness, and overall efficiency of web applications. It focuses on identifying performance bottlenecks and implementing strategies to reduce render-blocking resources and optimize asset delivery.

When to use it

  • Diagnosing slow Time to Interactive (TTI) or First Contentful Paint (FCP) metrics in production environments.
  • Optimizing large-scale e-commerce sites where image and script loading delays impact conversion rates.
  • Reducing Cumulative Layout Shift (CLS) by analyzing resource loading order and sizing attributes.
  • Preparing websites for Core Web Vitals updates to ensure search engine ranking stability.

Key capabilities

  • Analyzing network waterfall data to identify render-blocking resources.
  • Recommending code splitting and lazy loading strategies for JavaScript bundles.
  • Optimizing image formats, compression, and delivery methods (e.g., WebP, AVIF).
  • Evaluating CSS critical path extraction opportunities.

Example prompts

  • "Analyze this React application's Lighthouse report and suggest specific changes to improve its Largest Contentful Paint score."
  • "Identify render-blocking resources in this HTML file and propose a refactoring plan to prioritize above-the-fold content."
  • "Optimize the image delivery strategy for this landing page to reduce Total Blocking Time by at least 30%."

Tips & gotchas

Ensure you have access to real-world performance data (e.g., Lighthouse, WebPageTest) before asking for optimization strategies, as generic advice may not address specific bottlenecks. Always test changes in a staging environment first, as aggressive optimizations like code splitting can introduce new runtime complexity if not implemented carefully.