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Exa Performance Tuning

Listed
jeremylongshore·vlatest·other·MIT

Optimizes AI model performance across diverse hardware & software configurations using advanced algorithmic adjustments.

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 exa-performance-tuning -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.

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Automated safety checks

scanned

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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, exa-performance-tuning, analyzes and optimizes the performance of exa command line tools. It identifies bottlenecks in execution time by profiling commands and suggesting improvements to arguments or usage patterns. The tool can also generate reports detailing resource consumption for efficient debugging.

When to use it

  • Slow Command Execution: When exa commands are taking an unexpectedly long time to complete, especially with large directories or complex filters.
  • Resource Intensive Operations: To understand and reduce the CPU and memory usage of exa during file listing and analysis tasks.
  • Script Optimization: To improve the performance of scripts that rely on exa for file manipulation or reporting.
  • Debugging Performance Issues: When investigating why a specific exa command is behaving slowly or consuming excessive resources.

Key capabilities

  • Command profiling to identify bottlenecks
  • Resource consumption analysis (CPU, memory)
  • Report generation with performance metrics
  • Suggestion of argument and usage improvements

Example prompts

  • "Profile the execution time of exa -l --tree . and suggest optimizations."
  • "Analyze the resource usage when running exa --icons | less."
  • "Generate a report detailing the CPU and memory consumption for the command exa -a --hidden /var/log."

Tips & gotchas

This skill requires that the exa tool is already installed on your system. The accuracy of performance suggestions depends on the complexity of the directory structure being analyzed.