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Web Performance Optimization

Checked
aj-geddes·vlatest·frontend·MIT

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

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 aj-geddes/useful-ai-prompts --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

aj-geddes

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Scanned
7 files, 445 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

The web-performance-optimization skill empowers AI agents to analyze website metrics, identify bottlenecks, and generate actionable strategies for improving load times and user experience. It bridges the gap between raw performance data and practical implementation steps for developers.

When to use it

  • Diagnosing why a specific landing page is failing Core Web Vitals audits.
  • Generating a prioritized checklist of optimizations for a slow e-commerce checkout flow.
  • Analyzing Lighthouse reports to suggest code-level fixes for render-blocking resources.
  • Creating performance budgets and monitoring guidelines for new frontend feature development.

Key capabilities

  • Interprets standard web performance metrics (LCP, FID, CLS).
  • Identifies specific technical debt causing latency issues.
  • Formulates concrete optimization plans based on analysis.

Example prompts

  • "Analyze these Lighthouse results and tell me the top three changes to improve my site's Largest Contentful Paint."
  • "Generate a step-by-step guide to optimize image delivery for a slow-loading portfolio website."
  • "What are the best practices for reducing JavaScript bundle size in a React application?"

Tips & gotchas

Ensure you provide relevant performance data (like Lighthouse scores or specific error logs) alongside your request, as the skill relies on context to offer precise recommendations rather than generic advice.