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Performance Profiler

Checked
k1lgor·vlatest·testing·MIT

Analyzes k1lgor agent actions to identify performance 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 k1lgor/virtual-company --skill performance-profiler -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

k1lgor

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 k1lgor/virtual-company at 394eeac958.

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

Commit
394eeac958
Manifest
skills/06-performance-profiler/SKILL.md
Scanned
1 file, 316 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 k1lgor-performance-profiler skill allows AI agents to analyze and identify performance bottlenecks in code. It provides detailed profiling data, including function call timings and resource usage. This enables developers to optimize their applications for speed and efficiency by pinpointing areas needing improvement.

When to use it

  • Debugging slow scripts: Use the profiler when an AI agent's script is taking longer than expected to complete a task.
  • Optimizing resource-intensive operations: Identify functions or processes consuming excessive memory or CPU cycles.
  • Analyzing complex workflows: Understand the performance characteristics of intricate sequences of actions within an AI agent’s workflow.
  • Comparing different code implementations: Evaluate which version of a function or algorithm performs better under specific conditions.

Key capabilities

  • Function call timing analysis
  • Resource usage tracking (CPU, memory)
  • Bottleneck identification
  • Detailed profiling reports

Example prompts

  • "Profile the execution time of my process_image function."
  • "Show me a breakdown of CPU usage for the last 10 seconds."
  • "Generate a report comparing the performance of version A and version B of the sorting algorithm."

Tips & gotchas

The skill requires access to code execution environments. Ensure the AI agent has appropriate permissions to profile the target processes or scripts.