jherrodthomas/automotive-skills-suite
100+ installable Claude skills covering Engineering areas such as, ISO 26262 functional safety, ISO/SAE 21434 cybersecurity, ISO 21448 SOTIF, AIAG-VDA quality (APQP/PPAP/FMEA), Automotive SPICE, and continuous improvement tools — every builder paired with a confirmation reviewer.
What it solves
This project automates the creation and review of the massive volume of structured documentation (specifically .xlsx deliverables) required for automotive engineering. It eliminates the manual effort of hand-editing spreadsheets and reduces consistency errors across the complex safety, cybersecurity, and quality lifecycles of vehicle development.
How it works
The suite consists of 152 installable "skills" for Claude (AI agent), organized into builder and reviewer pairs.
- Builders take JSON inputs and upstream artifacts to generate structured Excel files following specific automotive standards.
- Reviewers analyze those outputs against checklists to produce visual dashboards with KPIs, charts, and findings tables.
These skills are linked in a "chain," meaning the output of one skill (e.g., a Hazard Analysis) serves as the stable input for the next (e.g., Functional Safety Concept), ensuring that changes propagate through the entire engineering pipeline.
Who it’s for
Automotive safety, cybersecurity, and quality engineers who need to produce compliant documentation for industry standards such as ISO 26262, ISO/SAE 21434, and ASPICE.
Highlights
- Comprehensive Standard Coverage: Supports ISO 26262 (Safety), ISO/SAE 21434 (Cybersecurity), ISO 21448 (SOTIF), IATF 16949 (Quality), and AUTOSAR.
- Builder-Reviewer Architecture: Every artifact-producing skill is paired with a confirmation reviewer to ensure compliance.
- Automated Chain: Artifacts flow from one skill to another, creating a traceable path from item definition to the final safety case.
- Detailed Technical Scope: Covers everything from communication protocols (CAN, LIN, Ethernet) and diagnostics (UDS, ODX) to MBSE and SysML diagrams.
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