How to Get Started with Operations Research Modeling in Your AI Workflow

Operations Research Modeling is a powerful AI agent skill that extends your assistant with new capabilities. Operations research and optimization mathematical modeling aids. It is used when users need to convert actual problems into mathematical optimization models, including: (1) inputting operations research optimization problems and requiring the establishment of a mathematical model; (2) needing to convert text descriptions into objective functions and constraints; (3) requiring mathematical formulation of the problem; (4) needing to verify or improve the mathematical model of the optimization problem; (5) searching for relevant academic papers to understand the current research status. Supported scenarios: linear programming, integer... This guide walks you through installing Operations Research Modeling, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Operations Research Modeling: npx clawhub@latest --dir ~/.claude/skills install or-modeling

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to general tools to trigger Operations Research Modeling

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Operations Research Modeling with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Operations Research Modeling

More Use Cases for Operations Research Modeling