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Profiling Application Performance

Listed
jeremylongshore·vlatest·testing·MIT

Analyzes application performance metrics to identify bottlenecks and suggest optimization strategies based on historical data.

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 jeremylongshore/tons-of-skills-marketplace --skill profiling-application-performance -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

jeremylongshore

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill allows AI agents to profile application performance, identifying bottlenecks and areas for optimization. It can analyze code execution times, memory usage, and resource consumption to pinpoint inefficiencies. The agent will provide detailed reports with actionable insights to improve application speed and stability.

When to use it

  • Debugging slow applications: Use this skill when an application is performing slower than expected to identify the root cause of the slowdown.
  • Optimizing resource usage: Employ this skill to analyze memory and CPU consumption, helping reduce costs and improve efficiency.
  • Performance testing: Integrate this skill into automated performance tests to track changes in application behavior over time.
  • Identifying code hotspots: Leverage it to quickly locate the most computationally expensive sections of your codebase.

Key capabilities

  • Code execution time analysis
  • Memory usage profiling
  • Resource consumption reporting
  • Bottleneck identification

Example prompts

  • "Profile the performance of this Python script and identify any bottlenecks."
  • "Analyze the memory usage of my Java application during startup."
  • "Generate a report on CPU utilization for this Node.js service."

Tips & gotchas

The skill's effectiveness depends on providing sufficient code or application context. Ensure the agent has access to the relevant codebase and configuration files for accurate profiling results.