AUTOSAR Configuration Skill

SkillDev tools

AUTOSAR Classic and Adaptive Platform configuration and implementation expertise

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 AUTOSAR Configuration 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/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: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: autosar-config
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter