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Memory Optimization

Checked
aj-geddes·vlatest·agents·MIT

Reduces agent memory usage and improves efficiency by intelligently pruning less relevant past interactions.

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 aj-geddes/useful-ai-prompts --skill memory-optimization -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/memory-optimization/SKILL.md
Scanned
6 files, 324 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

This skill, Memory Optimization, focuses on improving application performance, stability, and reducing infrastructure costs by optimizing memory usage. It helps identify and address issues like high memory consumption, suspected memory leaks, slow performance, out-of-memory crashes, and scaling challenges. The skill provides tools and techniques for profiling memory within browser environments (JavaScript heap size), React applications, Node.js, and Chrome DevTools to pinpoint areas of inefficiency.

When to use it

  • When experiencing high memory usage in an application.
  • If you suspect a memory leak is impacting performance.
  • To diagnose slow application performance potentially caused by memory issues.
  • When encountering out-of-memory crashes or errors.
  • During scaling efforts where memory constraints are limiting growth.

Key capabilities

  • JavaScript Heap Size Profiling: Provides metrics like jsHeapSizeLimit, totalJSHeapSize, and usedJSHeapSize.
  • React DevTools Profiler Integration: Allows for identifying unnecessary component renders.
  • Chrome DevTools Memory Analysis: Facilitates heap snapshot comparison to identify retained objects and their sizes.
  • Node.js Profiling Support: Enables memory profiling using the Node.js inspector.

Example prompts

While this skill doesn't directly respond to natural language prompts, it provides tools that can be invoked through code or development workflows. Examples include:

  • performance . memory (to check JavaScript heap size)
  • Using React DevTools Profiler to record and analyze component rendering.
  • Initiating a Chrome DevTools Memory snapshot for comparison.

Tips & gotchas

  • This skill requires familiarity with browser developer tools (Chrome DevTools, React DevTools) and Node.js debugging techniques.
  • Refer to the "Reference Guides" directory within the skill's repository for detailed implementation instructions for each profiling method.
  • Thorough testing and validation are crucial before deploying any memory optimization changes.