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Cpu Profiling

Checked
aj-geddes·vlatest·testing·MIT

This CPU Profiling skill analyzes your code to pinpoint performance bottlenecks and identify areas needing optimization for faster execution.

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 aj-geddes/useful-ai-prompts --skill cpu-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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/cpu-profiling/SKILL.md
Scanned
6 files, 313 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

The cpu-profiling skill enables AI agents to analyze system performance by generating CPU usage profiles. It helps identify bottlenecks and inefficient processes within a computing environment through detailed metric collection.

When to use it

  • Diagnosing slow application response times on local or remote servers.
  • Identifying resource-heavy tasks during batch processing jobs.
  • Optimizing code execution by pinpointing functions that consume excessive cycles.
  • Monitoring system health before deploying heavy workloads.

Key capabilities

  • Captures real-time CPU utilization data across multiple cores.
  • Generates structured reports highlighting peak usage periods.
  • Correlates process IDs with specific resource consumption patterns.
  • Supports both interactive and automated profiling sessions.

Example prompts

"Analyze the current CPU usage of my development server and list the top three processes consuming resources." "Generate a CPU profile report for the last hour to identify any performance spikes during peak traffic." "Help me optimize this script by profiling its CPU consumption and suggesting which functions need refactoring."

Tips & gotchas

Ensure the target system has sufficient permissions to access process-level metrics, as some environments restrict detailed CPU data. Profiling can introduce slight overhead; avoid running it on production systems during critical operations unless necessary.