Mixed-Integer Optimization

SkillProductivity

Mixed-integer linear and nonlinear programming

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Mixed-Integer Optimization skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mathematics/skills/mixed-integer-optimization/SKILL.md and read by ahel’s review.

Purpose

Provides capabilities for formulating and solving mixed-integer linear and nonlinear programming problems.

Capabilities

Branch and bound/cut algorithms
MIP formulation techniques
Indicator constraints
Big-M reformulations
Lazy constraints
Solution pool generation

Usage Guidelines

Formulation: Use tight formulations with valid inequalities
Big-M Selection: Choose appropriate Big-M values
Branching: Configure branching priorities
Solution Pool: Generate diverse feasible solutions

Tools/Libraries

Gurobi
CPLEX
SCIP
CBC

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: mixed-integer-optimization
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter

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