pymoo (Claude Skill)

Multi-objective optimization framework.

Type	Claude Skill
Supplier	K-Dense Inc. (community OSS)
Availability	GA — part of the actively maintained K-Dense scientific-agent-skills collection
Pricing	Free / OSS (Apache-2.0)
Capabilities	Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool

How to install

• Also packaged in the SciAgent-Skills collection (jaechang-hits (community OSS, CC BY 4.0)): clone jaechang-hits/SciAgent-Skills and run /plugin install sciagent-skills in Claude Code (or copy skills/scientific-computing/pymoo into ~/.claude/skills/).
• Claude Code / Claude.ai — Skills CLI (recommended):

  npx skills add K-Dense-AI/scientific-agent-skills
  

  Installs the K-Dense collection; enable the pymoo skill when prompted. Works across Claude Code, Cursor, and Codex via the Agent Skills spec (requires Node ≥ 18).

• Claude Code / Claude Desktop — manual clone:

  git clone https://github.com/K-Dense-AI/scientific-agent-skills
  cp -r scientific-agent-skills/skills/pymoo ~/.claude/skills/
  

  Project-scoped alternative: copy into .claude/skills/ instead of ~/.claude/skills/. The skill declares its own Python dependencies in its SKILL.md; install them (the K-Dense skills generally use uv / pip) when prompted on first use.

What it does

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

Primary use cases: Multi-objective optimization framework.

Notes

Distributed as a SKILL.md (plus code examples) in the K-Dense collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: Apache-2.0. The skill name to enable after install is pymoo.

Sources

• K-Dense-AI/scientific-agent-skills
• skills/pymoo/SKILL.md

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