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Sim-to-Real Transfer Skill

Agent Building
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Techniques for minimizing simulation-to-reality gap and validating transfer

QUICK START

How to use this skill

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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/robotics-simulation/skills/sim-to-real/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Sim-to-Real Transfer Skill

Overview

Expert skill for bridging the simulation-to-reality gap through domain randomization, system identification, and transfer validation techniques.

Capabilities

  • Implement domain randomization (physics, appearance, dynamics)
  • Configure system identification for simulation parameters
  • Set up adaptive domain randomization
  • Implement domain adaptation techniques
  • Configure noise injection for robust policies
  • Set up reality gap metrics and monitoring
  • Implement progressive network transfer
  • Configure latency simulation
  • Set up sensor noise modeling
  • Implement hardware-in-the-loop validation

Target Processes

  • sim-to-real-validation.js
  • digital-twin-development.js
  • rl-robot-control.js
  • field-testing-validation.js

Dependencies

  • Simulation environments (Gazebo, Isaac Sim)
  • Physical robot access
  • System identification tools

Usage Context

This skill is invoked when processes require transferring simulation-trained models or behaviors to real robot hardware with minimal performance degradation.

Output Artifacts

  • Domain randomization configurations
  • System identification results
  • Reality gap analysis reports
  • Transfer validation metrics
  • Sensor noise models
  • Calibrated simulation parameters