regen-braking

Regenerative braking system design and blending expertise

509 stars

bya5c-ai

View on GitHub Installation ↓

Best use case

regen-braking is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Regenerative braking system design and blending expertise

Teams using regen-braking 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

$curl -o ~/.claude/skills/regen-braking/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/automotive-engineering/skills/regen-braking/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/regen-braking/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How regen-braking Compares

Feature / Agent	regen-braking	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?

Regenerative braking system design and blending 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

# 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

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