5,394,015 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.
Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.
Computer vision pipeline design and evaluation. Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
Configure a Mac mini as a reliable local LLM server with remote access, observability, and power-safe operation. Use when building an always-on private AI inference server on Apple Silicon.
Run local LLM workloads with Ollama, Open WebUI, and GPU-aware tuning for private development environments.
Frictionless setup. Detects missing daemon, installs it, configures local memory, and verifies the full plugin → MCP → daemon round-trip. Run after `/plugin install origin@7xuanlu`, or any time the user says "set up origin", "is origin working", "fix origin".
Vision-driven desktop automation using Midscene. Control your local desktop (macOS, Windows, Linux) or a remote Windows desktop over RDP with natural language commands. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen r...
Control a connected mobile device (Android/HarmonyOS) via natural language using the gui_execute tool.
Answer user questions about QwenPaw installation and configuration: first locate and read local documentation, then distill the answer; if local information is insufficient, fall back to the official website documentation.
使用 Qwen3-TTS 生成 TTS 语音并通过 HomePod 播放。当用户说"播放语音到HomePod"、"用HomePod对我说话"、"让HomePod播报XXX"时触发。
Maps topics and keywords from user questions to QwenPaw official documentation paths and common source code entry points, reducing blind searching. Intended for the built-in QA Agent to quickly identify which files to read when answering questions about installation, configuration, skills, MCP, m...
当需要其他 agent 的专长、上下文或协作支持，或用户明确要求调用其他 agent 时，使用本 skill。先查询可用 agents，再用 qwenpaw agents chat 进行双向沟通。
Try a broader search or clear some filters.
Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.