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physical-ai-physics-selection

85 / 100 · Low risk

Fine to try.

By NVIDIA/skills (GitHub) · coding · 3,933 stars · scanned at commit 2630133

Choose a physics engine and integration for robot learning, manipulation, assembly, differentiable optimization, or other Physical AI simulation. Compare Newton, PhysX, MuJoCo/MJX, Bullet/PyBullet, VSim Robotics, Genesis, and Drake. Evaluate Newton first for suitable new workflows, select ovnewton when supported shared-stage integration adds value, then verify setup. Use for simulator comparisons, migration decisions, and Newton/ovnewton first-run issues; preserve an explicitly chosen engine.

Works with any agent that supports SKILL.md skills.

What this skill can do

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'physical-ai-physics-selection' ] || [ -L ~/.agents/skills/'physical-ai-physics-selection' ]; then echo 'A skill folder named physical-ai-physics-selection already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/NVIDIA/skills' "$d" && git -C "$d" checkout --quiet '2630133f22e357f2005886567a39eddcc1b520e2' -- 'skills/physical-ai-physics-selection' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/physical-ai-physics-selection' ~/.agents/skills/'physical-ai-physics-selection' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'physical-ai-physics-selection' ~/.claude/skills/'physical-ai-physics-selection' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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