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Performance Engineering

Listed
ancoleman·vlatest·testing·MIT

Optimizes software performance through detailed profiling, bottleneck identification, and targeted code improvements using advanced techniques.

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 ancoleman/ai-design-components --skill performance-engineering -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

ancoleman

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: chromeuxreport.googleapis.com.

    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.

    Hosts contacted

    github.comsource hostchromeuxreport.googleapis.comundeclared

    What it found

    • skills/performance-engineering/references/frontend-performance.md:620contacts chromeuxreport.googleapis.com
      curl "https://chromeuxreport.googleapis.com/v1/records:queryRecord" \

  • 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 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 ancoleman/ai-design-components at 76551b7b19.

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

Commit
76551b7b19
Manifest
skills/performance-engineering/SKILL.md
Scanned
14 files, 4,708 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 performance engineering capabilities for AI agents. It allows you to analyze and optimize the efficiency of AI agent workflows, identify bottlenecks, and suggest improvements to reduce latency and resource consumption. The tool is designed to help ensure AI applications are scalable and responsive under load.

When to use it

  • Debugging slow responses: When an AI agent's response time is unacceptably long, this skill can pinpoint the cause.
  • Optimizing resource usage: If your AI application consumes excessive computational resources, performance engineering can identify areas for improvement.
  • Preparing for scale: Before deploying an AI agent to a large user base, use this skill to proactively address potential performance issues.
  • Analyzing complex workflows: When dealing with intricate AI pipelines involving multiple steps or integrations, this skill helps understand overall efficiency.

Key capabilities

  • Workflow analysis
  • Bottleneck identification
  • Performance optimization suggestions
  • Resource consumption assessment

Example prompts

  • "Analyze the performance of my chatbot workflow."
  • "Identify bottlenecks in my AI agent's image processing pipeline."
  • "Suggest ways to reduce latency for my text generation model."

Tips & gotchas

This skill requires a detailed description or access to the AI agent’s workflow to provide accurate analysis. The quality of recommendations depends on the completeness and accuracy of the input provided.