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Performance Optimizer

Checked
daffy0208·vlatest·frontend·MIT

Automatically identifies and resolves frontend performance bottlenecks like slow rendering and large bundle sizes.

Install on your platform

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

Installs under a different name. Its SKILL.md names it Performance Optimizer, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add daffy0208/ai-dev-standards --skill "Performance Optimizer" -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

daffy0208

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 daffy0208/ai-dev-standards at 32c3241e48.

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

Scanned
3 files, 947 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 provides a dedicated interface for discovering and installing performance optimization capabilities specifically designed for AI agents. It streamlines the process of equipping agents with tools to analyze, monitor, and enhance their operational efficiency within frontend environments.

When to use it

  • You need to equip an AI agent with specific modules to reduce latency in response generation.
  • Your development workflow requires automated installation of performance tuning libraries for new projects.
  • You are building a registry of agent skills and need to source verified optimization tools.
  • An existing agent is exhibiting slow execution times, and you require targeted diagnostic capabilities.

Key capabilities

  • Discovery interface for locating relevant performance optimization assets.
  • Direct installation mechanism for integrating selected skills into agent configurations.
  • Categorized frontend-focused tooling within the daffy0208/ai-dev-standards repository.
  • Streamlined metadata handling for skill registration and retrieval.

Example prompts

  • "Install the performance optimizer skill from the daffy0208 registry to improve my agent's speed."
  • "Discover available frontend optimization skills that can be integrated into an AI agent workflow."
  • "Show me how to install a specific performance module for an AI agent using the standard discovery interface."

Tips & gotchas

Ensure your agent environment supports the specific frontend frameworks mentioned in the skill metadata before attempting installation. Since this is a registry-based skill, verify the latest version of ai-dev-standards to access the most current optimization algorithms.