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Memory Manage

Checked
catlog22·vlatest·productivity·MIT

Efficiently organizes and prioritizes stored information, optimizing recall and minimizing data clutter within the AI's knowledge base.

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 catlog22/claude-code-workflow --skill memory-manage -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

catlog22

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 catlog22/claude-code-workflow at 07491b04ac.

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

Commit
07491b04ac
Manifest
.claude/skills/memory-manage/SKILL.md
Scanned
6 files, 1,762 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 allows AI agents to manage and optimize their memory usage during complex tasks. It helps prevent out-of-memory errors, improves performance by reducing unnecessary data storage, and enables agents to handle larger datasets or more intricate processes. The agent can request the skill to clear specific types of cached information or adjust its memory allocation strategy.

When to use it

  • When an AI agent is experiencing slow response times due to excessive memory consumption.
  • During long-running tasks involving large files or complex calculations where memory limitations are a concern.
  • To proactively prevent errors in agents that frequently deal with substantial data volumes.
  • When debugging and diagnosing performance issues related to memory leaks or inefficient storage.

Key capabilities

  • Clear cached data
  • Adjust memory allocation strategy
  • Prevent out-of-memory errors
  • Optimize performance by reducing unnecessary data storage

Example prompts

  • "Please clear the agent's short-term memory of all image processing results."
  • "Can you reduce the amount of text data stored in the agent’s active memory?"
  • “Adjust your memory allocation to prioritize code execution over storing intermediate results.”

Tips & gotchas

The effectiveness of this skill depends on the underlying architecture and memory management techniques employed by the AI agent. It's best used in conjunction with monitoring tools to observe memory usage patterns and fine-tune settings for optimal performance.