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Performance Profiler

Checked
jmsktm·vlatest·testing

Analyzes jmsktm application performance, identifying bottlenecks and optimization opportunities through detailed resource profiling.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Performance Profiler, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add jmsktm/claude-settings --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

jmsktm

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 jmsktm/claude-settings at c113b0d7e1.

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

Commit
c113b0d7e1
Manifest
skills/performance-profiler/SKILL.md
Scanned
1 file, 46 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 Performance Profiler skill allows you to analyze and understand the performance characteristics of AI agent workflows. It provides insights into resource usage, identifies bottlenecks, and helps optimize execution speed. This skill is designed for Claude agents and aims to improve overall efficiency.

When to use it

  • Debugging slow workflows: If an agent task takes longer than expected, use this skill to pinpoint the cause of the delay.
  • Optimizing resource consumption: Identify areas where the agent is using excessive memory or processing power.
  • Comparing different approaches: Evaluate the performance impact of alternative strategies within a workflow.
  • Understanding Claude's limitations: Gain insight into how Claude handles specific tasks and identify potential scaling issues.

Key capabilities

  • Performance analysis of Claude workflows
  • Bottleneck identification
  • Resource usage tracking (memory, processing power)
  • Workflow optimization suggestions

Example prompts

  • "Profile the execution time of my 'summarize_article' workflow."
  • "Show me a breakdown of resource consumption for the 'generate_report' task."
  • "Compare the performance of two different approaches to data extraction."

Tips & gotchas

This skill is specifically designed for Claude agents. Ensure your agent environment is properly configured before attempting to use it.