Showing 3 open source projects for "trigger"

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    Antigravity Awesome Skills

    Antigravity Awesome Skills

    The Ultimate Collection of 700+ Agentic Skills for Claude Code

    ...Because it aims to reduce cognitive overhead, many skills show how to structure intents, handle context, and orchestrate multi-step reasoning without deep technical complexity. It also serves as inspiration for users looking to prototype new use cases — from conversational helpers that answer questions to workflow automators that trigger actions.
    Downloads: 5 This Week
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  • 2
    Flask-SocketIO

    Flask-SocketIO

    Socket.IO integration for Flask applications

    Flask-SocketIO is an extension for the Flask web framework that enables real-time bi-directional communication between clients and servers using WebSockets or long-polling fallbacks, making it possible to build interactive applications like chat systems, live dashboards, and collaborative tools. It abstracts the complexities of asynchronous sockets by providing a familiar Flask-style API where developers can define event handlers that trigger on client messages, broadcast to connected users, and manage namespaces and rooms. The extension supports multiple asynchronous workers through integrations with popular async servers like eventlet or gevent, allowing scalable handling of concurrent connections. It also includes features such as session and user tracking across socket connections, JSON message support, and simple decorators to bind events to handler functions.
    Downloads: 0 This Week
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  • 3
    SageMaker MXNet Training Toolkit

    SageMaker MXNet Training Toolkit

    Toolkit for running MXNet training scripts on SageMaker

    SageMaker MXNet Training Toolkit is an open-source library for using MXNet to train models on Amazon SageMaker. For inference, see SageMaker MXNet Inference Toolkit. For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow....
    Downloads: 0 This Week
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