Skill · em Dados, IA e pesquisa

pymoo

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

Procedência

Antes de instalar

11 arquivos · 71,9 KB · inclui 5 scripts que executam: scripts/custom_problem_example.py, scripts/decision_making_example.py, scripts/many_objective_example.py, scripts/multi_objective_example.py, scripts/single_objective_example.py

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/pymoo/.

d=".claude/skills/pymoo"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/pymoo"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/algorithms.md" "$u/references/algorithms.md" \
  -o "$d/references/constraints_mcdm.md" "$u/references/constraints_mcdm.md" \
  -o "$d/references/operators.md" "$u/references/operators.md" \
  -o "$d/references/problems.md" "$u/references/problems.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/scripts/custom_problem_example.py" "$u/scripts/custom_problem_example.py" \
  -o "$d/scripts/decision_making_example.py" "$u/scripts/decision_making_example.py" \
  -o "$d/scripts/many_objective_example.py" "$u/scripts/many_objective_example.py" \
  -o "$d/scripts/multi_objective_example.py" "$u/scripts/multi_objective_example.py" \
  -o "$d/scripts/single_objective_example.py" "$u/scripts/single_objective_example.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/pymoo/.

d="$HOME/.claude/skills/pymoo"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/pymoo"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/algorithms.md" "$u/references/algorithms.md" \
  -o "$d/references/constraints_mcdm.md" "$u/references/constraints_mcdm.md" \
  -o "$d/references/operators.md" "$u/references/operators.md" \
  -o "$d/references/problems.md" "$u/references/problems.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/scripts/custom_problem_example.py" "$u/scripts/custom_problem_example.py" \
  -o "$d/scripts/decision_making_example.py" "$u/scripts/decision_making_example.py" \
  -o "$d/scripts/many_objective_example.py" "$u/scripts/many_objective_example.py" \
  -o "$d/scripts/multi_objective_example.py" "$u/scripts/multi_objective_example.py" \
  -o "$d/scripts/single_objective_example.py" "$u/scripts/single_objective_example.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/pymoo/.

d=".agents/skills/pymoo"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/pymoo"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/algorithms.md" "$u/references/algorithms.md" \
  -o "$d/references/constraints_mcdm.md" "$u/references/constraints_mcdm.md" \
  -o "$d/references/operators.md" "$u/references/operators.md" \
  -o "$d/references/problems.md" "$u/references/problems.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/scripts/custom_problem_example.py" "$u/scripts/custom_problem_example.py" \
  -o "$d/scripts/decision_making_example.py" "$u/scripts/decision_making_example.py" \
  -o "$d/scripts/many_objective_example.py" "$u/scripts/many_objective_example.py" \
  -o "$d/scripts/multi_objective_example.py" "$u/scripts/multi_objective_example.py" \
  -o "$d/scripts/single_objective_example.py" "$u/scripts/single_objective_example.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/pymoo/.

d="$HOME/.agents/skills/pymoo"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/pymoo"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/algorithms.md" "$u/references/algorithms.md" \
  -o "$d/references/constraints_mcdm.md" "$u/references/constraints_mcdm.md" \
  -o "$d/references/operators.md" "$u/references/operators.md" \
  -o "$d/references/problems.md" "$u/references/problems.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/scripts/custom_problem_example.py" "$u/scripts/custom_problem_example.py" \
  -o "$d/scripts/decision_making_example.py" "$u/scripts/decision_making_example.py" \
  -o "$d/scripts/many_objective_example.py" "$u/scripts/many_objective_example.py" \
  -o "$d/scripts/multi_objective_example.py" "$u/scripts/multi_objective_example.py" \
  -o "$d/scripts/single_objective_example.py" "$u/scripts/single_objective_example.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/pymoo/.

d=".agents/skills/pymoo"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/pymoo"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/algorithms.md" "$u/references/algorithms.md" \
  -o "$d/references/constraints_mcdm.md" "$u/references/constraints_mcdm.md" \
  -o "$d/references/operators.md" "$u/references/operators.md" \
  -o "$d/references/problems.md" "$u/references/problems.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/scripts/custom_problem_example.py" "$u/scripts/custom_problem_example.py" \
  -o "$d/scripts/decision_making_example.py" "$u/scripts/decision_making_example.py" \
  -o "$d/scripts/many_objective_example.py" "$u/scripts/many_objective_example.py" \
  -o "$d/scripts/multi_objective_example.py" "$u/scripts/multi_objective_example.py" \
  -o "$d/scripts/single_objective_example.py" "$u/scripts/single_objective_example.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/pymoo/.

d="$HOME/.gemini/antigravity-cli/skills/pymoo"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/pymoo"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/algorithms.md" "$u/references/algorithms.md" \
  -o "$d/references/constraints_mcdm.md" "$u/references/constraints_mcdm.md" \
  -o "$d/references/operators.md" "$u/references/operators.md" \
  -o "$d/references/problems.md" "$u/references/problems.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/scripts/custom_problem_example.py" "$u/scripts/custom_problem_example.py" \
  -o "$d/scripts/decision_making_example.py" "$u/scripts/decision_making_example.py" \
  -o "$d/scripts/many_objective_example.py" "$u/scripts/many_objective_example.py" \
  -o "$d/scripts/multi_objective_example.py" "$u/scripts/multi_objective_example.py" \
  -o "$d/scripts/single_objective_example.py" "$u/scripts/single_objective_example.py" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.pymoo

Prévia do SKILL.md

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

# Pymoo - Multi-Objective Optimization in Python

## Overview

Pymoo is a comprehensive Python framework for optimization with emphasis on multi-objective problems. Solve single and multi-objective optimization using state-of-the-art algorithms (NSGA-II/III, MOEA/D), benchmark problems (ZDT, DTLZ), customizable genetic operators, and multi-criteria decision making methods. Excels …

## When to Use This Skill

This skill should be used when:
- Solving optimization problems with one or multiple objectives
- Finding Pareto-optimal solutions and analyzing trade-offs
- Implementing evolutionary algorithms (GA, DE, PSO, NSGA-II/III)
- Working with constrained optimization problems
- Benchmarking algorithms on standard test problems (ZDT, DTLZ, WFG)
- Customizing genetic operators (crossover, mutation, selection)
- Visualizing high-dimensional optimization results
- Making decisions from multiple competing solutions
- Handling binary, discrete, continuous, or mixed-variable problems

## Core Concepts

### The Unified Interface

Pymoo uses a consistent `minimize()` function for all optimization tasks:

```python
from pymoo.optimize import minimize

result = minimize(
    problem,        # What to optimize
    algorithm,      # How to optimize
    termination,    # When to stop
    seed=1,
    verbose=True
)
…

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