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Performance Engineer

Checked
sidetoolco·vlatest·testing

Optimizes application performance through automated profiling, bottleneck identification, and targeted code recommendations.

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 sidetoolco/org-charts --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

sidetoolco

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 sidetoolco/org-charts at 1ab75acf5a.

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

Commit
1ab75acf5a
Manifest
skills/agents/specialized/performance-engineer/SKILL.md
Scanned
1 file, 39 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 access to a Performance Engineer. It can analyze system bottlenecks, identify areas for optimization, and suggest improvements to enhance overall performance. The tool aims to improve efficiency and responsiveness by addressing underlying technical issues.

When to use it

  • Troubleshooting slow application response times: Identify the root cause of delays in user interactions.
  • Optimizing database queries: Analyze query execution plans and recommend indexing strategies for faster data retrieval.
  • Improving server resource utilization: Detect CPU, memory, or I/O bottlenecks impacting system performance.
  • Preparing for increased traffic loads: Proactively identify potential scaling issues before they impact users.

Key capabilities

  • Performance bottleneck analysis
  • Query optimization recommendations
  • Resource utilization monitoring
  • Scalability assessment

Example prompts

  • "Analyze the slow response time of our checkout page and suggest optimizations."
  • "Can you review this SQL query and recommend ways to improve its performance?"
  • "What are the potential bottlenecks we should address before launching the new feature?"

Tips & gotchas

This skill requires access to system logs, metrics data, or application code for effective analysis. The accuracy of recommendations depends on the quality and completeness of the provided information.