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Performance Profiling

Checked
xfstudio·vlatest·testing

Analyze XFStudio project performance, identifying bottlenecks and suggesting optimizations through detailed resource usage profiling.

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 xfstudio/skills --skill performance-profiling -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

xfstudio

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 xfstudio/skills at 1bf6044db2.

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

Commit
1bf6044db2
Manifest
performance-profiling/SKILL.md
Scanned
2 files, 219 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

The xfstudio-performance-profiling skill allows AI agents to analyze and understand the performance characteristics of code. It can identify bottlenecks, measure execution times of specific functions, and provide insights into resource utilization. This enables optimization efforts for improved efficiency and responsiveness in applications.

When to use it

  • Debugging slow applications: Use this skill when an application is performing poorly or taking longer than expected.
  • Optimizing critical code paths: Identify and optimize sections of code that are consuming the most resources.
  • Analyzing resource usage: Understand how memory, CPU, and other resources are being utilized by a program.
  • Performance regression testing: Ensure new changes don't negatively impact existing performance metrics.

Key capabilities

  • Code profiling
  • Bottleneck identification
  • Execution time measurement
  • Resource utilization analysis

Example prompts

  • "Profile the execution of this Python script and identify any bottlenecks."
  • "Measure the runtime of the calculate_complex_data function in milliseconds."
  • "Analyze the memory usage of this Java application during startup."

Tips & gotchas

The skill's effectiveness depends on providing accurate code snippets or access to the running program. Results should be interpreted within the context of the specific environment and hardware being used.