install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/automotive-engineering/skills/regen-braking" ~/.claude/skills/a5c-ai-babysitter-regen-braking && rm -rf "$T"
manifest:
library/specializations/domains/science/automotive-engineering/skills/regen-braking/SKILL.mdsource content
Regenerative Braking Skill
Purpose
Provide regenerative braking system design and blending expertise for optimal energy recovery and pedal feel in electric vehicles.
Capabilities
- Brake blending strategy design
- One-pedal driving implementation
- Regeneration limit management
- Brake-by-wire integration
- Wheel slip control during regen
- Energy recovery optimization
- Pedal feel calibration
- Coast regen tuning
Usage Guidelines
- Design blending strategy for seamless transitions
- Implement one-pedal driving for user convenience
- Manage regeneration limits based on battery state
- Ensure wheel slip control during high regen
- Optimize energy recovery for range extension
- Calibrate pedal feel for consistent response
Dependencies
- Brake system simulation tools
- dSPACE HIL
Process Integration
- VDC-003: Brake System Development
- PTE-001: Battery System Design and Validation
- PTE-002: Electric Drive Unit Development