Sim-to-Real Transfer Skill
Techniques for minimizing simulation-to-reality gap and validating transfer
npx skills add majiayu000/claude-skill-registry --skill sim-to-real --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 v
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Context
- Output Artifacts
What does the Sim-to-Real Transfer Skill skill do?
Techniques for minimizing simulation-to-reality gap and validating transfer
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill sim-to-real --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.