About
Pymoo is a Python framework for solving multi-objective optimization problems using algorithms like NSGA-II and MOEA/D. It's ideal for finding Pareto-optimal trade-off solutions in engineering design and supports constraint handling and benchmarks. Use this skill when you need to implement evolutionary algorithms or analyze conflicting objectives.
Quick Install
Claude Code
Recommendednpx skills add sanand0/scientific-research -a claude-code/plugin add https://github.com/sanand0/scientific-researchgit clone https://github.com/sanand0/scientific-research.git ~/.claude/skills/pymooCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the pymoo skill?
pymoo is a Claude Skill by sanand0. Skills package instructions and resources that Claude loads on demand, so Claude can perform pymoo-related tasks without extra prompting.
How do I install pymoo?
Use the install commands on this page: add pymoo to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does pymoo belong to?
pymoo is in the Design category, tagged ai and design.
Is pymoo free to use?
Yes. pymoo is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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