Skills in this repository are backed up from https://clawdhub.com - check them out there for an easier experience (or have your clawdbot do it!)
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robot...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 42/100. no security policy. 2 open issues make this testable, but not something to trust blind.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if skills belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/NVIDIA/skillsRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/NVIDIA/skillsNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ skills/ ← installs here └─ settings.json
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.. An open-source skill for the AI coding ecosystem.
Source: GitHub repository
Source check: July 23, 2026
Upstream commit: July 19, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.
Skills in this repository are backed up from https://clawdhub.com - check them out there for an easier experience (or have your clawdbot do it!)