scientific-pkg-pymoo
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install jackspace-claudeskillz-scientific-pkg-pymoo
Repository
Skill path: skills/scientific-pkg-pymoo
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
Open repositoryBest for
Primary workflow: Design Product.
Technical facets: Full Stack, Designer.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: jackspace.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install scientific-pkg-pymoo into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/jackspace/ClaudeSkillz before adding scientific-pkg-pymoo to shared team environments
- Use scientific-pkg-pymoo for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.