Driving Scenario Simulation Skill
SkillDev toolsScenario-based simulation for ADAS/AD validation
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Driving Scenario Simulation Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/automotive-engineering/skills/scenario-simulation/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
scenario-simulation- Source
- github.com/a5c-ai/babysitter