AI Agent Skills

CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.

EVA OS — A real-time multimodal AIOS for next-generation hardware, enabling your devices being “alive” and as intelligent as a real brain.

Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first p…

Ultra-high-performance, secure, all-in-one acceleration engine for developer resources

GUI for remote control of Raspberry Pi GPIO hardware

UPM is a high level repository that provides software drivers for a wide variety of commonly used sensors and actuators. These software drivers interact with the underly…

Hardware Interface for EtherCAT module integration with ros2_control

Modular open-source brain for legged robots. Web UI for teleops, autonomous navigation, mapping & monitoring. 3D-printable hardware that runs on ROS2.

Bringing up a complete ROS2 system on a robot's onboard computer: systemd services, launch file composition, ordered startup, and production monitoring. Use this skill w…

Community maintained hardware plugin for vLLM on Ascend

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

Next-gen AI+IoT framework for T2/T3/T5AI/ESP32/and more – Fast IoT and AI Agent hardware integration

Fastest end-to-end CSV ingestion for Ruby (with C acceleration). SmarterCSV auto-detects formats, applies smart defaults, and returns Rails-ready hashes for seamless use…

A GitHub Action for installing, configuring and running hardware-accelerated Android Emulators on macOS virtual machines.

Open-source private logbook with a local agentic layer. Long-living AI agents read what you record and propose what to do next. Hardware permitting, the models runs loca…

Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best…