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Performance Optimization

Checked
laurenceputra·vlatest·frontend·MIT

Helps with 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 laurenceputra/agent-skills --skill 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

laurenceputra

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 laurenceputra/agent-skills at edb4d9dfd7.

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

Scanned
1 file, 114 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 optimizes frontend performance. It analyzes web pages to identify and suggest improvements for loading times, rendering efficiency, and overall user experience. The skill aims to reduce resource consumption and improve responsiveness on various devices and network conditions.

When to use it

  • Slow website: When users report slow page load times or sluggish interactions.
  • Mobile optimization: To ensure a smooth experience for mobile users with limited bandwidth.
  • Large image files: To identify opportunities for compressing or optimizing large images impacting performance.
  • Complex JavaScript: To analyze and suggest improvements to complex JavaScript code that might be slowing down the page.

Key capabilities

  • Performance analysis
  • Image optimization suggestions
  • JavaScript efficiency recommendations
  • Loading time reduction strategies

Example prompts

  • "Analyze this website [URL] for performance bottlenecks."
  • "Suggest ways to optimize image loading on [URL]."
  • "What JavaScript code changes can improve the responsiveness of [URL]?"

Tips & gotchas

The skill's recommendations should be reviewed and tested thoroughly before implementation, as some optimizations might have unintended consequences. Consider the trade-offs between performance gains and potential impact on visual fidelity or functionality.