vehicle-dynamics-sim

Deep integration with vehicle dynamics simulation tools for handling, ride, and stability analysis

509 stars

Best use case

vehicle-dynamics-sim is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Deep integration with vehicle dynamics simulation tools for handling, ride, and stability analysis

Teams using vehicle-dynamics-sim should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/vehicle-dynamics-sim/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/automotive-engineering/skills/vehicle-dynamics-sim/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/vehicle-dynamics-sim/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How vehicle-dynamics-sim Compares

Feature / Agent	vehicle-dynamics-sim	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Deep integration with vehicle dynamics simulation tools for handling, ride, and stability analysis

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Vehicle Dynamics Simulation Skill

## Purpose
Provide deep integration with vehicle dynamics simulation tools for comprehensive handling, ride comfort, and stability analysis across various driving conditions.

## Capabilities
- Adams/Car, CarSim, IPG CarMaker model setup
- Suspension kinematics and compliance (K&C) analysis
- Tire model configuration (MF-Tyre, FTire, CDTire)
- Handling metrics calculation (understeer gradient, yaw gain)
- Ride comfort analysis (ISO 2631 comfort metrics)
- Stability control system simulation
- Driver model configuration and tuning
- Maneuver library execution (ISO lane change, steady-state cornering)

## Usage Guidelines
- Validate tire models against available test data before simulation
- Use appropriate road profiles for ride comfort analysis
- Configure driver models based on intended use case (normal, aggressive)
- Apply standard maneuvers for objective handling assessment
- Correlate simulation results with physical testing
- Document vehicle parameters and model assumptions

## Dependencies
- Adams/Car
- CarSim
- IPG CarMaker
- dSPACE ASM

## Process Integration
- VDC-001: Suspension System Development
- VDC-002: Steering System Development
- VDC-003: Brake System Development
- TVL-001: Vehicle-Level Validation Testing

Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.

Workflow & Productivity

babysitter

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from a5c-ai/babysitter

Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)

yolo

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from a5c-ai/babysitter

Run Babysitter autonomously with minimal manual interruption.

user-install

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from a5c-ai/babysitter

Install the user-level Babysitter Codex setup.

team-install

509

from a5c-ai/babysitter

Install the team-pinned Babysitter Codex workspace setup.

retrospect

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from a5c-ai/babysitter

Summarize or retrospect on a completed Babysitter run.