Emissions Calibration Skill
SkillDev toolsEngine emissions calibration and aftertreatment optimization expertise
Use Emissions Calibration Skill in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Emissions Calibration Skill
Details
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.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
emissions-calibration- Source
- github.com/a5c-ai/babysitter