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Performance Optimization

Checked
thibautbaissac·vlatest·testing·MIT

Helps with 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 thibautbaissac/rails_ai_agents --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

thibautbaissac

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 thibautbaissac/rails_ai_agents at 03622f23b4.

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

Commit
03622f23b4
Manifest
.agents/skills/performance-optimization/SKILL.md
Scanned
8 files, 1,048 lines
Copies in repo
2 — all of them scanned
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 focuses on optimizing frontend performance. It provides tools and techniques to improve website loading speed, reduce resource consumption, and enhance the overall user experience. The skill aims to address common bottlenecks in web applications, leading to faster rendering and smoother interactions.

When to use it

  • Slow page load times: When users are complaining about slow websites or pages taking too long to load.
  • High bounce rate: If a website has a high bounce rate, indicating visitors leave quickly due to poor performance.
  • Resource-intensive applications: For web apps with complex animations, large datasets, or heavy reliance on JavaScript.
  • Mobile optimization: To ensure websites perform well on mobile devices with limited bandwidth and processing power.

Key capabilities

  • Frontend performance optimization
  • Website loading speed improvement
  • Resource consumption reduction
  • User experience enhancement

Example prompts

  • "Analyze this website's frontend performance and suggest optimizations."
  • "Identify the biggest bottlenecks affecting page load time on [website URL]."
  • "Suggest ways to reduce JavaScript bundle size for a React application."

Tips & gotchas

This skill is most effective when applied to existing web applications. It may require access to website code or performance metrics to provide accurate recommendations.