pymoo
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymoo --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Pymoo - Multi-Objective Optimization in Python ## Routing Boundary Use this skill only for pymoo, NSGA-II/NSGA, Pareto-front analysis, multi-objective optimization, constrained optimization, and pymoo algorithm implementation. Do not use it for generic optimization planning, experiment design, gradient descent, Bayesian modeling, PyMC, or causal analysis. ## Overview Pymoo is a comprehensive Pyt
What does the pymoo skill do?
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
How do I install it?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill pymoo --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.