Nebula-Stream 是做什麼的？
在邊緣與雲端環境中協調 AI 工作流程，具備為速度與可擴展性而設計的高效能分散式系統。
在邊緣與雲端環境中協調 AI 工作流程，具備為速度與可擴展性而設計的高效能分散式系統。
Nebula-Stream 是一個高效能、分散式的 AI 工作流程協調系統，專為在邊緣運算與雲端環境中無縫運行而設計。它解決了傳統集中式工作流程引擎在延遲、頻寬和資源限制下的瓶頸，讓開發者能夠將 AI 任務動態分配至最佳的運算位置。該系統支援多種平台，包括 Kubernetes、邊緣設備與雲端服務，並透過智慧排程、自動縮放與容錯機制確保工作流程的可靠性與效率。Nebula-Stream 的核心優勢在於其低延遲、高吞吐量的資料處理管道，以及與現有 AI 框架（如 TensorFlow、PyTorch）的深度整合，讓開發者能專注於模型與邏輯，無需處理分散式系統的複雜性。
npx skills add arshad2917/Nebula-Stream在邊緣與雲端環境中協調 AI 工作流程，具備為速度與可擴展性而設計的高效能分散式系統。
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".