Web Performance Optimization
CheckedHelps 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
Run this in your project
terminal$ npx skills add aj-geddes/useful-ai-prompts --skill web-performance-optimization -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- 3f5182cfd7
- Scanned
- 7 files, 445 lines
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.