Automotive Syseng

Automotive Systems Engineering Skill

**Version 1.0** — A comprehensive AI-powered analysis skill for automotive safety-critical systems engineering. Works with Claude Code, ChatGPT (Custom GPTs), Cursor, Gemini, or any AI tool that accepts system prompts.

Covers the full automotive V-model lifecycle — from requirements quality analysis through code compliance, ADAS classification, functional safety, and architecture review.

What This Skill Does

Mode	Purpose
breakdown	Decompose stakeholder requirements into system/subsystem/component hierarchy with traceability matrix
ears / incose	Score requirements 1-5 against INCOSE GfWR 42 rules + EARS pattern conformance (16 problem types)
misra	Static review of C code against MISRA-C:2012 (mandatory/required/advisory rules)
adas	Classify systems against SAE J3016 levels L0-L5 with sensor and redundancy checklists
vmodel	Verify project artifacts against V-model / W-model lifecycle phases
asil	ISO 26262 HARA and ASIL determination (S/E/C parameters, decomposition rules)
autosar	Review SW architecture for AUTOSAR Classic / Adaptive compliance
sotif	ISO 21448 analysis — hazards from functional insufficiencies (Areas 1-4 classification)

Standards Covered

• ISO 26262 — Functional safety for automotive E/E systems (ASIL A-D)
• ISO 21448 (SOTIF) — Safety of the Intended Functionality
• ISO 21434 — Automotive cybersecurity engineering
• SAE J3016 — Driving automation levels (L0-L5)
• MISRA-C:2012 — C coding standard for safety-critical embedded systems
• AUTOSAR — Classic Platform + Adaptive Platform architectures
• INCOSE GfWR — 42 requirements quality rules, 14 quality characteristics
• EARS — 6 requirement syntax patterns (Ubiquitous, Event, State, Unwanted, Optional, Complex)
• UNECE R157 — Automated Lane Keeping System regulation

Installation

Claude Code

# Clone