electric-motor-design
Electric motor and drive unit design and optimization expertise
npx skills add a5c-ai/babysitter --skill electric-motor-design --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the electric-motor-design skill do?
Electric motor and drive unit design and optimization expertise
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill electric-motor-design --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.