AUTOSAR Configuration Skill
SkillDev toolsAUTOSAR Classic and Adaptive Platform configuration and implementation expertise
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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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/autosar-config/SKILL.md and read by Ahel’s review.
Purpose
Provide AUTOSAR Classic and Adaptive Platform configuration and implementation expertise for automotive ECU software development.
Capabilities
- Software component (SWC) design and modeling
- RTE configuration and code generation
- Basic Software (BSW) module configuration
- AUTOSAR COM stack setup
- Memory stack configuration (NvM, Fee, Ea)
- Diagnostic stack configuration (Dcm, Dem)
- AUTOSAR Adaptive Platform services
- ARXML file generation and validation
Usage Guidelines
- Design SWC interfaces following AUTOSAR methodology
- Configure RTE for proper scheduling and communication
- Set up BSW modules according to ECU requirements
- Implement diagnostic services per UDS standards
- Validate ARXML against AUTOSAR schema
- Document configuration decisions and rationale
Dependencies
- Vector DaVinci
- ETAS ISOLAR
- EB tresos
- Artop
Process Integration
- ASD-001: AUTOSAR Architecture Implementation
- ASD-002: ECU Software Development and Testing
- ASD-003: Diagnostic Implementation (UDS/OBD)
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
autosar-config- Source
- github.com/a5c-ai/babysitter