A comprehensive aerodynamics and fluid dynamics knowledge tool mapping everything from basic airfoil lift formulas to supersonic shock waves and CFD modeling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-aerodynamics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-aerodynamics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Aerodynamics Guide?
The AI Aerodynamics Guide is a domain-specific core skill designed to help engineers, students, and automotive or aerospace enthusiasts understand, calculate, and analyze fluid dynamics problems. It covers essential foundations such as the Navier-Stokes equations, Reynolds number thresholds, and Mach speed behaviors, extending straight to practical aerodynamics applications like airfoil engineering and wind tunnel workflows.
By leveraging this guide within Openclaw Skills, users gain an interactive educational and research companion. It dissects complex concepts like boundary layer transitions, laminar flow airfoils, and the mathematics of lift generation without oversimplifying the underlying physics, unlocking actionable computational fluid dynamics insights.
AI Aerodynamics Guide Use Cases
- Investigating real-world aerodynamic phenomena such as how airplanes generate physical lift via circulation and the Kutta condition.
- Analyzing vehicle drag coefficients to optimize electric vehicle driving range or Formula 1 downforce dynamics.
- Studying advanced boundary layer transitions, separation bubbles, and laminar flow configurations for aircraft wing design.
- Evaluating supersonic flight challenges including sound barrier wave drag, shock waves, and supercritical airfoils.
- Reviewing Computational Fluid Dynamics guidelines across DNS, LES, and RANS turbulence models for simulation validation.
How AI Aerodynamics Guide Works
- The user inputs an aerodynamics query or physical scenario (e.g., investigating airfoil stall or subsonic vs. supersonic behaviors).
- The skill references its built-in fluid mechanics engine containing Navier-Stokes formulations, similarity principles, and empirical design data.
- It cross-references velocity regimes based on Mach and Reynolds number criteria to ensure mathematical and physical alignment.
- The system outputs structured breakdowns complete with core variables, physical limitations, and computational considerations.
AI Aerodynamics Guide Setup
To install and activate the fluid dynamics capabilities inside your Openclaw environment, execute the plugin management tool:
claw-cli install ai-aerodynamics
Verify that the environment variable configurations or local model routing profiles are updated to support physics-based reasoning prompts.
AI Aerodynamics Guide Data Schema & Taxonomy
The skill manages information taxonomy across the following key aerodynamic domains:
| Domain Block | Core Concepts Managed | Metrics & Formulas Covered |
|---|---|---|
| Fluid Foundations | Navier-Stokes equations, Incompressible vs. Compressible flow | $Re = \frac{\rho VL}{\mu}$, $Ma = \frac{V}{a}$, Bernoulli Principle |
| Lift & Airfoils | Circulation, Angle of Attack, Stall, NACA Profiles | $L = \rho V \Gamma$, Kutta condition |
| Boundary Layers | Laminar vs. Turbulent layers, Transition, Separation | Adverse pressure gradient, Skin friction drag |
| Compressible Flow | Sound barrier, Shock waves, Mach angle, Area rule | $\mu = \arcsin(\frac{1}{Ma})$, Supercritical airfoils |
| CFD Engineering | Hexahedral/Tetrahedral Mesh, Model Validation (V&V) | DNS vs. LES vs. RANS models ($k-\epsilon$, $k-\omega$ SST) |
| Wind Tunnel Labs | Flow visualization (Schlieren, PIV, Oil flow), Force balances | 6-component balance, Similarity parameters |
| Industrial Design | Automotive Cd management, Sports ball drag, Wind turbines | Downforce, Dimple effects, Tip-speed ratio ($\lambda$) |
AI Aerodynamics Guide Advanced Features
- Direct integration with multi-agent workflows to supply engineering agents with precise thermodynamic and aerodynamic boundary constraints.
- Specialized modules for sports physics analysis including baseball knuckleball erratic separation and cycling time-trial posture optimization.
- Comprehensive validation and verification checklist generators to prevent common simulation errors before starting costly mesh grid generation.
SKILL.md
Loading
Related Openclaw Skills
TDX Formula Assistant
A specialized AI assistant designed to write, check, and optimize TongDaXin (TDX) stock selection and indicator formulas based on official function manuals.
Code Audit Pro
An expert AI-powered code review engine designed to detect traditional bugs, security flaws, and unique AI hallucinations across multiple programming languages.
Dev Toolkit
A comprehensive, full-featured development agent toolbox designed to streamline Git assistant actions, template scaffolding, testing, and system architecture reviews.
TDX Formula Master
An expert AI coding agent skill for creating, optimizing, and evaluating TongDaXin (TDX) stock selection, indicator, and main graph formulas across diverse market scenarios.
AI Biogeography Guide
An expert AI knowledge framework mapping global biodiversity patterns, species migrations, island biogeography theories, and ecological conservation strategies.
AI Photonics Guide
An advanced AI-powered assistant specialized in photonics, laser physics, non-linear optics, fiber communications, and quantum optical technologies.
Featured*
