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Performance Engineer

Checked
claudchereji·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 claudchereji/visualverses --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

claudchereji

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 claudchereji/visualverses at 5971350ec1.

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

Commit
5971350ec1
Manifest
.opencode/skills/performance-engineer/SKILL.md
Scanned
1 file, 281 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 (CPU, memory, disk I/O), and provide insights into application behavior under load. The agent can also generate reports detailing performance metrics over time.

When to use it

  • Troubleshooting slow application response times: Use the skill to pinpoint the cause of sluggishness in a web service or desktop application.
  • Optimizing server resource allocation: Determine if existing servers are adequately sized for current and projected workloads.
  • Analyzing database query performance: Identify inefficient queries that contribute to overall system slowdowns.
  • Preparing for peak load periods: Simulate increased user traffic to proactively address potential performance issues before they impact users.

Key capabilities

  • Performance bottleneck identification
  • Resource utilization analysis (CPU, memory, disk I/O)
  • Application behavior profiling under load
  • Performance metric reporting over time
  • Suggestion of optimization strategies

Example prompts

  • "Analyze the performance of my web server and identify any bottlenecks."
  • "Generate a report showing CPU usage for my application over the last 24 hours."
  • "Suggest ways to improve database query performance for this specific SQL statement."

Tips & gotchas

The skill's effectiveness relies on access to system metrics and logs. Ensure the AI agent has appropriate permissions and connectivity to monitor the target systems.