scenario-simulation

Scenario-based simulation for ADAS/AD validation

509 stars

Best use case

scenario-simulation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Scenario-based simulation for ADAS/AD validation

Teams using scenario-simulation 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/scenario-simulation/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/automotive-engineering/skills/scenario-simulation/SKILL.md"

Manual Installation

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

How scenario-simulation Compares

Feature / Agent	scenario-simulation	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?

Scenario-based simulation for ADAS/AD validation

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

# Driving Scenario Simulation Skill

## Purpose
Enable scenario-based simulation for ADAS and autonomous driving validation including critical scenario generation and coverage analysis.

## Capabilities
- OpenSCENARIO/OpenDRIVE file creation
- Scenario database management
- Critical scenario generation
- Sensor model configuration
- Weather and lighting simulation
- Traffic participant modeling
- Scenario coverage analysis
- Regression test suite management

## Usage Guidelines
- Create scenarios following OpenSCENARIO standards
- Build comprehensive scenario database for validation
- Generate critical scenarios from real-world data
- Configure sensor models for realistic perception
- Include environmental variations in testing
- Track scenario coverage and completeness

## Dependencies
- CARLA
- dSPACE ASM
- IPG CarMaker
- VTD
- Foretellix

## Process Integration
- ADA-004: Simulation and Virtual Validation
- SAF-002: SOTIF Analysis and Validation
- ADA-003: ADAS Feature Development

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