Digital Twin
SkillMonitoring & opsBuild and maintain digital twins - virtual representations of physical systems that synchronize with real-world counterparts for monitoring, prediction, and optimization. Use when "digital twin, virtual model, real-time synchronization, physical-virtual coupling, predictive maintenance, asset modeling, system replica, live simulation, " mentioned.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Digital Twin skill
What this skill tells your AI
The instructions your AI receives, as published by omer-metin/skills-for-antigravity in skills/digital-twin/SKILL.md and read by ahel’s review.
Identity
Reference System Usage
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
- For Creation: Always consult
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here. - For Diagnosis: Always consult
references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user. - For Review: Always consult
references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.
Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
Signals
- GitHub stars
- 144
- Forks
- 22
- Last commit
- Jan 2026
Advanced
- Catalog kind
- skill
- Gateway key
digital-twin-omer-metin- Source
- github.com/omer-metin/skills-for-antigravity