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Use when a policy or controller trained/tuned in simulation must run on the real robot — close the gap with domain randomization for what you can't measure and system identification for what you can.
sim2real-transfer is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. **When to use.** Before any sim-trained behavior touches hardware. *Why:* the sim-to-real gap fails policies silently; randomize what you can't identify, identi. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding sim2real-transfer to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install diytechy/ai-templateReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
**When to use.** Before any sim-trained behavior touches hardware. *Why:* the sim-to-real gap fails policies silently; randomize what you can't identify, identify what you can. **P