memory-optimize

memory-optimize is a programming Skill indexed on SkillHub from the GitHub repository kochetkov-ma/claude-brewcode, written by kochetkov-ma.

memory-optimize at a glance

Category
Programming
Listing
Indexed from GitHub, not hosted on SkillHub
Author
kochetkov-ma
Source
kochetkov-ma/claude-brewcode
Installs on skills.sh
1,492
GitHub stars
32
GitHub forks
3
Repository last pushed
2026-09-12
Price
Free
Indexed on
2026-09-28
Install command
npx skills add https://github.com/kochetkov-ma/claude-brewcode --skill memory-optimize

About this listing

This listing is indexed from GitHub. Its author publishes on their own repository, not here, so the fit details SkillHub creators fill in are missing. Read the repository for what it does and how to use it.

How to install memory-optimize

memory-optimize is not hosted on SkillHub. The author's own install command is: npx skills add https://github.com/kochetkov-ma/claude-brewcode --skill memory-optimize. Read its GitHub repository for what the command does before you run it.

npx skills add https://github.com/kochetkov-ma/claude-brewcode --skill memory-optimize

Open the source

Questions about memory-optimize

What is memory-optimize?

memory-optimize is a programming Skill indexed on SkillHub from the GitHub repository kochetkov-ma/claude-brewcode, written by kochetkov-ma.

How do I install memory-optimize?

memory-optimize is not hosted on SkillHub. The author's own install command is: npx skills add https://github.com/kochetkov-ma/claude-brewcode --skill memory-optimize. Read its GitHub repository for what the command does before you run it.

Is memory-optimize free?

SkillHub does not sell memory-optimize. Check the author's source for the terms it is published under.

Who made memory-optimize?

memory-optimize was written by kochetkov-ma and is maintained in kochetkov-ma/claude-brewcode. SkillHub indexes it and does not host it.

How popular is memory-optimize?

Skills.sh records 1,492 installs of it across the agents it supports, and its repository has 32 stars on GitHub. Both are counts measured elsewhere, and neither says whether it fits your job.

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