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pymoo

8.3

by K-Dense-AI

160Favorites
310Upvotes
0Downvotes

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

optimization

8.3

Rating

0

Installs

Machine Learning

Category

Quick Review

Exceptional skill for multi-objective optimization. The SKILL.md provides comprehensive, actionable guidance with 7 distinct workflows covering single-objective, multi-objective, many-objective, custom problems, constraints, decision-making, and visualization. Each workflow includes clear steps, code examples, and references to detailed documentation. The description perfectly captures capabilities for a CLI agent to invoke appropriately. Structure is excellent with concise overview in SKILL.md and details delegated to reference files and scripts. Task knowledge is outstanding with complete examples, algorithm selection guides, troubleshooting, and best practices. Novelty is strong: multi-objective optimization with Pareto fronts, NSGA-II/III algorithms, and constraint handling would require substantial tokens for a CLI agent to implement from scratch. Minor deduction on novelty as single-objective optimization is more standard. The skill meaningfully reduces cost for complex optimization problems that would otherwise require extensive algorithmic knowledge and implementation.

LLM Signals

Description coverage10
Task knowledge10
Structure9
Novelty8

GitHub Signals

6,871
818
49
3
Last commit 1 days ago

Publisher

K-Dense-AI

K-Dense-AI

Skill Author

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Publisher

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K-Dense-AI

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