Best use case
eps-calibration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Electric power steering calibration and control development
Teams using eps-calibration 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/eps-calibration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How eps-calibration Compares
| Feature / Agent | eps-calibration | 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?
Electric power steering calibration and control development
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
# Electric Power Steering Skill ## 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
Related Skills
Calibration Tools Skill
Sensor and robot calibration using specialized robotics calibration tools
calibration-analyzer
Hardware calibration data analysis skill for optimal qubit selection
nanosensor-calibration-manager
Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation
emissions-calibration
Engine emissions calibration and aftertreatment optimization expertise
calibration-trainer
Probability calibration training skill for improving forecast accuracy and reducing overconfidence
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
Summarize or retrospect on a completed Babysitter run.
resume
Resume an existing Babysitter run from Codex.