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NVIDIA Cosmos — open platform world models cho Physical AI: robotics, autonomous vehicles. Cosmos3-Nano (16B) + Super (64B). Text/video/action I/O. Diffusers/vLLM/NIM. OpenMDW-1.1.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/yanacuti1121/Yana-AI --skill nvidia-cosmosコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Sovereign-grade safety OS for AI coding agents. 62 hooks, 2,025 skills, L1 memory, circuit breakers, and cross-engine enforcement — blocks rm -rf, force push, pipe-to-shell, and 40+ attack vectors before they reach your repo.
Use when the user wants to generate or keep repository documentation up to date via OpenWiki (langchain-ai/openwiki) — an LLM-driven CLI that writes a wiki for a codebase (or a personal knowledge base from Notion/Gmail/Slack/X/web search) and keeps it fresh via a scheduled CI pull request. Examples: "set up OpenWiki for this repo", "keep the docs updated automatically", "generate an agent wiki".
Use when implementing the core AR pipeline (camera pose estimation, marker tracking, projection overlay) from first principles — not when just using ARKit/ARCore/Unity's AR framework as a black box. Triggers on: 'build augmented reality from scratch', 'marker-based AR tracking', 'camera pose estimation', 'implement fiducial marker detection', 'AR projection matrix math', 'markerless AR tracking'. Covers marker-based vs markerless tracking, pose estimation, and the projection math to overlay 3D content on a camera feed.
SOC 職業分類に基づく
SKILL.md を表示中
| name | nvidia--cosmos |
| description | NVIDIA Cosmos — open platform world models cho Physical AI: robotics, autonomous vehicles. Cosmos3-Nano (16B) + Super (64B). Text/video/action I/O. Diffusers/vLLM/NIM. OpenMDW-1.1. |
| allowed-tools | Bash, Read, Write |
| user-invocable | true |
NVIDIA Cosmos: world model platform cho Physical AI — robots và autonomous vehicles hiểu + simulate thế giới vật lý thay vì chỉ generate text.
Cosmos3-Nano (16B) — compact, multimodal understanding + world simulation
Cosmos3-Super (64B) — frontier-scale, advanced capabilities
Specialized:
Text-to-image variants
Image-to-video variants
Robot policy models
Reasoner
Input: text + vision
Output: text
Uses: world understanding, physical reasoning, task planning, autonomous decisions
→ "Is this grasp stable?" / "What happens if I push this box?"
Generator
Input: text + vision + sound + actions
Output: visual content + audio + action sequences
Uses: simulation, synthetic training data, video generation
# Diffusers (research/dev)
pip install diffusers transformers
# huggingface: nvidia/Cosmos3-Nano
# vLLM-Omni (production API)
pip install vllm
vllm serve nvidia/Cosmos3-Nano --task generate
# NIM containers (turnkey)
docker run nvcr.io/nim/nvidia/cosmos3-nano:latest
# Cosmos Framework (training + eval)
git clone https://github.com/NVIDIA/cosmos
pip install -e .
Video captioning + event detection
Embodied reasoning + physical plausibility analysis
Spatial grounding
Text-to-video + image-to-video generation
Action-conditioned simulation
Synthetic training data generation for robotics
OpenMDW-1.1 (custom NVIDIA license, not fully open-source)
https://github.com/NVIDIA/cosmos · OpenMDW-1.1 · +479⭐/week