Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
[CoRL 2024] VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/raySWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
$ npx skills add SWE-agent/SWE-agent🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
$ npx skills add camel-ai/camel🙌 OpenHands: AI-Driven Development
$ npx skills add OpenHands/OpenHandsMachine Learning Engineering Open Book
$ npx skills add stas00/ml-engineeringResearch and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
$ npx skills add microsoft/RD-AgentMulti-Agent Harness for Production AI
$ npx skills add aden-hive/hiveUFO³: Weaving the Digital Agent Galaxy
$ npx skills add microsoft/UFO智能闲鱼客服机器人系统:专为闲鱼平台打造的AI值守解决方案,实现闲鱼平台7×24小时自动化值守,支持多专家协同决策、智能议价和上下文感知对话。
$ npx skills add shaxiu/XianyuAutoAgentCreate agents that monitor and act on your behalf. Your agents are standing by!
$ npx skills add huginn/huginnCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
$ npx skills add deepset-ai/haystackTensor library for machine learning
$ npx skills add ggml-org/ggmlThe open-source hub to build & deploy GPT/LLM Agents ⚡️
$ npx skills add botpress/botpress🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
$ npx skills add huggingface/transformersAn open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
$ npx skills add bytedance/deer-flowHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep VLM Grounder if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.