Skill UI

Learn to build and deploy event-driven serverless applications using Google Cloud Functions Gen1 and Gen2. This skill covers configuring triggers for Pub/Sub, Cloud Storage, and Eventarc, as well as managing deployments via gcloud CLI. It includes examples for Python and Node.js runtimes, handling HTTP requests, scheduled tasks, and data processing pipelines without maintaining servers. Ideal for implementing serverless workloads on GCP.

Build applications using Google Gemini API hosted models including Gemini and Gemma 4. Covers multimodal content handling (text, images, audio, video), function calling, structured outputs, and current model specifications. Includes SDK usage for Python, JavaScript/TypeScript, Go, and Java with installation instructions.

This comprehensive guide covers all aspects of integrating the Google Gemini API into your applications using Python or Node.js. It details basic text generation, advanced multimodal inputs (text, image, audio), streaming responses, function calling/tool use, multi-turn chat implementation, and production best practices like model selection and robust error handling.

Build real-time bidirectional streaming applications using the Gemini Live API. Supports WebSocket-based audio/video/text streaming, voice activity detection, function calling, and session management. Includes SDKs for Python and JavaScript for low-latency AI interactions.

Lightweight Google Calendar integration with standalone OAuth authentication, no MCP server needed. List, create, update, and delete events, find free time slots, manage attendees, and respond to invitations from local Python scripts in Google Workspace environments.

Expert patterns for HubSpot CRM integration covering OAuth authentication, CRM objects, associations, batch operations, webhooks, custom objects, and Node.js/Python SDKs.

Gradio is a Python library for creating interactive web user interfaces and machine learning demos. This skill covers building Gradio applications, including components, event listeners, layouts, and chatbots. It includes guides on Interface, Blocks, and ChatInterface patterns, along with key component signatures like Textbox, Number, and Slider for rapid prototyping and deployment.

Run Python workloads on Hugging Face Jobs using managed CPUs, GPUs, and TPUs. Supports batch inference, data processing, and recurring tasks without local setup. Securely persist results to the Hugging Face Hub with integrated secrets management for authentication.

Trackio is a library for logging and visualizing machine learning training metrics. It supports Python API for logging metrics and firing alerts during training, and CLI for retrieving data. Metrics sync to Hugging Face Spaces for real-time dashboards. Ideal for autonomous ML workflows and experiment management.

Offensive security skill for hunting insecure deserialization flaws in Java, PHP, Python, .NET and Ruby. Covers ysoserial gadget chains, PHP object injection, pickle payloads, ViewState and JNDI/Log4Shell, with strict authorization gates.

A comprehensive guide covering Internationalization (i18n) and Localization (L10n) best practices. It details how to build applications that can support multiple languages, regions, and text directions (RTL). Covers implementation patterns for React, Next.js, and Python, along with essential guidelines for handling date/number formats and managing translation keys.

Generate and edit images using Gemini's Nano Banana Pro model (gemini-3-pro-image-preview). Supports text-to-image, image editing, multi-image composition, and Google Search grounding. Provides Python, JavaScript, and REST API examples.