OpenClaw · Skills: Developer tools

NVIDIA skill for everyday HoloHub app work with the holohub command: scaffold, build, run, test.

NVIDIA skill for diagnosing failing, hanging, or misbehaving HoloHub commands.

NVIDIA skill for installing Holoscan SDK 4.3 or later with Conda on CUDA 13.

NVIDIA skill for installing Holoscan SDK from the NGC Docker container.

NVIDIA skill for installing Holoscan SDK on Ubuntu natively through apt.

NVIDIA skill for compiling Holoscan SDK from source with the run script in the tree.

NVIDIA skill for installing the Holoscan SDK Python wheel with pip into a virtual environment.

NVIDIA skill for guiding Holoscan SDK installs by checking the host and picking a method.

NVIDIA skill for discovering and running Holoscan Sensor Bridge example apps on a devkit.

NVIDIA skill for setting up Holoscan Sensor Bridge from the repo through demo and verification.

NVIDIA skill for running QA test plans against Holoscan Sensor Bridge devices and reporting results.

Command-line tool for managing models, datasets, spaces, repos, and jobs on Hugging Face.

Fetches dataset metadata, rows, and text search results through the Dataset Viewer API.

Builds web interfaces and demos with Gradio, written in Python.

Builds and publishes a Gradio demo on Spaces for a user-supplied LoRA.

Estimates the memory needed to run Safetensors or GGUF models hosted on the Hub.

Reads Hugging Face paper pages and queries the papers API for authors and linked models.

Builds, deploys, and maintains apps on Hugging Face Spaces using Gradio, Docker, or Static SDKs.

Builds AI demos with GPU compute using Gradio Spaces and ZeroGPU.

Entry point for creating, editing, animating, and rendering videos with HyperFrames.