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Performance Engineer

Checked
herdiansah·vlatest·other

Analyzes system performance data to identify bottlenecks and suggest optimization strategies for improved efficiency.

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 herdiansah/antigravity-skills-master --skill performance-engineer -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

herdiansah

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 herdiansah/antigravity-skills-master at f642a05f9c.

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

Commit
f642a05f9c
Manifest
.agent/skills/performance-engineer/SKILL.md
Scanned
1 file, 168 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 allows AI agents to analyze and optimize system performance. It can identify bottlenecks, suggest improvements for resource utilization, and provide insights into application behavior under load. The agent can also simulate different scenarios to predict the impact of changes before they are implemented.

When to use it

  • Troubleshooting slow application response times: Use this skill when users report sluggishness or delays in an application.
  • Optimizing resource allocation: Employ this skill to ensure efficient use of CPU, memory, and network bandwidth.
  • Predicting performance impact of code changes: Before deploying new code, leverage the skill to estimate its effect on system performance.
  • Capacity planning for future growth: Use it to forecast resource needs based on anticipated user load increases.

Key capabilities

  • Performance bottleneck identification
  • Resource utilization analysis
  • Scenario simulation
  • Application behavior profiling
  • Improvement suggestions

Example prompts

  • "Analyze the performance of our web server and identify any bottlenecks."
  • "Simulate a 20% increase in user traffic and predict the impact on database response times."
  • “What are some ways to reduce memory consumption by the image processing service?”

Tips & gotchas

The skill's effectiveness depends on having access to relevant system metrics and logs. Ensure the AI agent has appropriate permissions and data feeds for accurate analysis.