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Instantly Performance Tuning

Listed
jeremylongshore·vlatest·testing·MIT

Automatically optimizes AI model performance across various metrics using advanced algorithms developed by jeremylongshore.

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 instantly-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.

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.
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.
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About this skill

What it does

This skill allows AI agents to rapidly optimize code for performance. It identifies bottlenecks and suggests targeted improvements, such as algorithm changes or data structure adjustments. The goal is to reduce execution time and resource consumption without significantly impacting functionality.

When to use it

  • Slow Code Execution: When a script or function takes an unexpectedly long time to complete.
  • Resource Intensive Tasks: When code consumes excessive memory or CPU resources.
  • Performance Bottlenecks: During debugging, when profiling reveals specific areas of code that are slowing down overall performance.
  • Optimization for Scale: When preparing code for increased load and user traffic.

Key capabilities

  • Bottleneck identification
  • Algorithm optimization suggestions
  • Data structure recommendations
  • Code refactoring proposals

Example prompts

  • "Analyze this Python script and suggest ways to improve its execution speed."
  • "This JavaScript function is using too much memory; can you optimize it?"
  • "I'm seeing performance degradation in my application. Can you identify the bottlenecks?"

Tips & gotchas

The skill’s suggestions should be carefully reviewed, as they may involve trade-offs between performance and code readability or maintainability. It is recommended to test any changes thoroughly before deploying them.