motor-control
Motor control algorithms and driver implementation
npx skills add a5c-ai/babysitter --skill motor-control --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.
# Motor Control Skill ## Overview This skill provides motor control algorithm implementation and driver development expertise for embedded systems controlling DC, BLDC, stepper, and AC induction motors. ## Capabilities ### PWM Generation - Center-aligned PWM configuration - Dead-time insertion - Complementary output setup - PWM frequency selection - Duty cycle modulation - SVPWM (Space Vector PWM) ### Control Algorithms - FOC (Field-Oriented Control) - Scalar V/f control - Six-step commutation - Sinusoidal commutation - DTC (Direct Torque Control) - Model predictive control ### Position/Speed Feedback - Encoder interface (quadrature) - Hall sensor configuration - Resolver interface - Sensorless algorithms - Back-EMF zero-crossing - Observer-based estimation ### Current Sensing - Shunt resistor configuration - Current amplifier setup - ADC synchronization with PWM - Oversampling strategies - DC offset compensation - Phase reconstruction ### Control Loops - Current loop (torque control) - Speed loop (velocity control) - Position loop (servo control) - Anti-windup strategies - Feed-forward compensation - Gain tuning methods ### Motor Identification - Parameter measurement - Auto-tunin
- Overview
- Capabilities
- PWM Generation
- Control Algorithms
- Position/Speed Feedback
- Current Sensing
- Control Loops
- Motor Identification
- Protection Features
- Target Processes
- Dependencies
- Usage Context
- Motor Types Supported
- FOC Implementation Example
What does the motor-control skill do?
Motor control algorithms and driver implementation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill motor-control --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.