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python-optimization

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Expert guidance for Python optimization problems.

Data & Analytics#optimization#Python#scipy#cvxpy#GEKKO#pyomo
Authorjkitchin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you classify optimization problems and choose the right Python tools (scipy, pyomo, cvxpy, GEKKO), configure solvers, and implement robust patterns for LP, QP, NLP, MIP, convex, and global optimization.

Core Features & Use Cases

  • Problem Classification: Guidance to identify LP, QP, NLP, MIP, or global optimization.
  • Library Selection: Recommends scipy, pyomo, cvxpy, or GEKKO based on problem type and scale.
  • Implementation Patterns: Provides end-to-end patterns for unconstrained and constrained optimization, including common solvers and interfaces.

Quick Start

Ask Claude to classify a given optimization problem (e.g., "minimize c'x subject to Ax ≤ b with nonlinear constraints") and receive a recommended library, solver, and a starter code pattern.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: python-optimization
Download link: https://github.com/jkitchin/skillz/archive/main.zip#python-optimization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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