electric-motor-design
Electric motor and drive unit design and optimization expertise
Best use case
electric-motor-design is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Electric motor and drive unit design and optimization expertise
Teams using electric-motor-design should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/electric-motor-design/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How electric-motor-design Compares
| Feature / Agent | electric-motor-design | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Electric motor and drive unit design and optimization expertise
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Electric Motor Design Skill ## Purpose Enable electric motor and drive unit design and optimization including electromagnetic analysis, thermal modeling, and control algorithm development. ## Capabilities - Motor topology selection (PMSM, induction, SRM) - Electromagnetic FEA simulation (JMAG, Motor-CAD, ANSYS Maxwell) - Efficiency map generation and analysis - Thermal modeling and cooling design - NVH analysis for electric motors - Demagnetization analysis - Inverter sizing and selection - Field-oriented control (FOC) algorithm development ## Usage Guidelines - Select motor topology based on performance and cost requirements - Optimize efficiency across typical drive cycles - Design cooling for continuous and peak power requirements - Analyze NVH characteristics for acceptable noise levels - Validate demagnetization resistance at extreme temperatures - Document motor specifications and control parameters ## Dependencies - JMAG - Motor-CAD - ANSYS Maxwell - MATLAB/Simulink ## Process Integration - PTE-002: Electric Drive Unit Development - PTE-003: Hybrid Powertrain Integration - PTE-004: Powertrain Calibration and Optimization
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