Emissions Calibration Skill

SkillDev tools

Engine emissions calibration and aftertreatment optimization expertise

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 Emissions Calibration 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/emissions-calibration/SKILL.md and read by ahel’s review.

Purpose

Provide engine emissions calibration and aftertreatment optimization expertise for regulatory compliance across WLTP, RDE, and other emissions standards.

Capabilities

Engine map optimization (torque, spark, AFR)
Catalyst light-off calibration
SCR system calibration (urea dosing)
GPF/DPF regeneration strategy
RDE (Real Driving Emissions) compliance
WLTP/FTP cycle optimization
Cold start emissions reduction
OBD-II monitor calibration

Usage Guidelines

Optimize engine maps for emissions and performance balance
Calibrate catalyst systems for rapid light-off
Design regeneration strategies for filter systems
Validate RDE compliance under real-world conditions
Document calibration parameters and rationale
Coordinate with homologation for certification

Dependencies

ETAS INCA
AVL CAMEO
ATI Vision
Emission test cells

Process Integration

PTE-003: Hybrid Powertrain Integration
PTE-004: Powertrain Calibration and Optimization
TVL-003: Homologation and Type Approval

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: emissions-calibration
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter