Electric Power Steering Skill
SkillDev toolsElectric power steering calibration and control development
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Electric Power Steering Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/automotive-engineering/skills/eps-calibration/SKILL.md and read by ahel’s review.
Purpose
Provide electric power steering calibration and control development capabilities for optimal steering feel and driver assistance integration.
Capabilities
- Steering torque map calibration
- Return-to-center tuning
- On-center feel optimization
- Active return function design
- Lane keeping assist integration
- Steering angle sensor calibration
- Rack force estimation
- Steer-by-wire control design
Usage Guidelines
- Calibrate torque maps for vehicle class and brand character
- Tune return-to-center for appropriate self-centering
- Optimize on-center feel for precision and confidence
- Integrate ADAS steering interventions smoothly
- Validate steering response across speed range
- Document calibration parameters and rationale
Dependencies
- Steering test equipment
- CANape
- INCA
Process Integration
- VDC-002: Steering System Development
- ADA-003: ADAS Feature Development
- PTE-004: Powertrain Calibration and Optimization
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
eps-calibration- Source
- github.com/a5c-ai/babysitter