vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
A high-throughput and memory-efficient inference and serving engine for LLMs
npx skills add vllm-project/vllmA high-throughput and memory-efficient inference and serving engine for LLMs
Central repository for Codex skill markdown files with inline comments and collaboration
Input execution driver layers translating abstract task steps into native mouse clicks and keyboard key interactions.
Demonstrate best practices for coding with Claude through clear examples and organized workflows to improve skill and efficiency.
Empower agents with professional capabilities in specific fields (such as full-stack development, complex logic planning, multimedia processing, etc.) through modular Skills definitions, allowing agents to solve complex problems systematically like human experts.
Describe any task in natural language — OmniDrive analyzes intent, installs dependencies, and executes automatically.
The local execution runtime for the Yuling ecosystem. An LLM-driven autonomous agent framework designed for native 'Computer Use'. Features a robust thought-action-observation loop, secure WebSocket tunneling, and modular capabilities for file system, shell, and browser automation.