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openrocket-sim

Run headless OpenRocket rocket simulations and design optimization on .ork files.

3|2|Updated Mar 17, 2026
Search Tags:#python#optimization#simulation#java#aerospace#rocketry
One-click install
npx skills add https://github.com/broomva/skills --skill openrocket-sim
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openrocket-sim
Source: https://github.com/broomva/skills/tree/main/skills/aerospace/openrocket-sim
Command: npx skills add https://github.com/broomva/skills --skill openrocket-sim

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires java-17, python3, gradle, and includes references (resource) components.

What problem does it solve?

This skill solves the complexity of manual rocket design and iterative flight testing by providing a programmatic, headless interface to the OpenRocket engine for rapid simulation and design optimization.

Core Features & Use Cases

  • Headless Simulation: Run batch flight simulations and parameter sweeps without needing the GUI.
  • AI-Driven Optimization: Use an iterative loop to automatically refine rocket designs to meet specific performance goals like altitude or stability.
  • Use Case: A user can programmatically sweep through 100 different fin configurations to find the optimal design that maximizes apogee while maintaining a stability margin above 1.5 calibers.

Quick Start

Use the openrocket-sim skill to run a headless simulation on the rocket design file named simple-model.ork.

Frequently Asked Questions about openrocket-sim

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run headless rocket flight simulations on .ork files?▼

Headless rocket flight simulation processes .ork files without a GUI by utilizing the OpenRocket Java core engine for batch processing. This enables rapid, automated flight testing and parameter sweeps directly from the command line.

What is AI-driven rocket design optimization?▼

AI-driven rocket design optimization uses an iterative Python loop to automatically refine rocket parameters. It adjusts designs to meet specific performance goals like maximizing apogee while maintaining a stability margin above 1.5 calibers.

Do I need Java 17 and Python 3 to run OpenRocket simulations programmatically?▼

Yes, you need Java 17 and Python 3 to run OpenRocket simulations programmatically. Java 17 powers the simulation engine, while Python 3 drives the optimization loop and batch processing scripts.

Can I sweep through 100 different fin configurations to find the optimal rocket design?▼

Yes, you can sweep through 100 different fin configurations to find the optimal rocket design. The skill facilitates automated design sweeps across batch .ork files to maximize apogee and verify stability margins.

What's the best way to automate aerospace parameter sweeps without the OpenRocket GUI?▼

The best way to automate aerospace parameter sweeps without the GUI is using a headless interface to the OpenRocket engine. This allows programmatic batch processing of design files for rapid simulation and performance tuning.

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