Skill UI

Expertise in building production-grade LLM applications, advanced Retrieval-Augmented Generation (RAG) systems, and complex intelligent agents. This skill covers the entire AI lifecycle, including model orchestration, vector search optimization, multimodal integration (vision/audio), MLOps deployment, and robust safety governance for enterprise-level AI solutions.

Expertise in building production-grade LLM applications, advanced Retrieval-Augmented Generation (RAG) systems, and complex intelligent agents. This skill covers the entire AI lifecycle, including model orchestration, vector search optimization, multimodal integration (vision/audio), MLOps deployment, and robust safety governance for enterprise-level AI solutions.

This skill guide is essential for building advanced applications using Gemini and Gemma 4 hosted models. It covers working with multimodal content (text, images, audio, video), implementing complex features like function calling and structured output. It provides up-to-date SDK usage examples for Python, JavaScript, Go, and Java, ensuring developers use the latest, recommended API standards.

Master the art of building complex, production-grade user interfaces for Obsidian plugins. This guide covers implementing custom sidebar views (ItemView), interactive modal dialogs (for forms and confirmations), context menus, status bar widgets, and advanced editor commands. Learn how to interact with the Obsidian Vault API for file manipulation, significantly enhancing your plugin's functionality and user experience.

A comprehensive, hands-on guide to building a minimal working Obsidian plugin. This skill demonstrates the five core building blocks of any Obsidian plugin, including defining typed settings, creating various command types (palette, editor, callback), implementing modals, and utilizing status bar updates. Perfect for developers new to the Obsidian API or those needing a structured way to learn core plugin patterns.

This skill provides comprehensive guidelines and automated checks for auditing and fixing HTML accessibility violations. It covers critical WCAG areas including proper ARIA labeling, full keyboard navigation support, focus management for modals and dialogs, color contrast adherence, and robust form error handling. Use it when developing any interactive UI component or reviewing existing code for accessibility compliance.

This assistant is an expert guide for developing user interfaces using the Makepad framework. It helps users write, explain, and troubleshoot code for a comprehensive set of widgets, including containers (View, PortalList), input controls (TextInput, Slider), navigation elements (TabBar, Modal), and media components. It adheres to best practices, providing structured code patterns and detailed usage documentation for building complex, modern UIs.

A comprehensive guide and set of best practices for designing reusable, production-ready widgets in Makepad. This skill covers advanced UI patterns such as modal overlays, collapsible sections, drag-and-drop functionality, and dynamic text/image toggling, ensuring robust and consistent component architecture.

Guides configuring Firebase AI in Flutter, generating text/chat with Gemini, streaming responses, multimodal prompts, and handling errors with security considerations.

Modal is a serverless cloud platform for running Python code on demand, including GPU-accelerated AI/ML workloads. Use for deploying models, serving web APIs, batch processing, and scaling Python applications to cloud containers with automatic scaling from zero to thousands of instances. Supports custom container images, persistent storage, and sub-second cold starts for low-latency inference.

A deep dive into handling typed content blocks (text, image, tool_use, thinking, document) in LangChain 1.0. This skill standardizes multi-modal message composition, tool-call iteration, and complex content handling across providers like Claude, GPT-4o, and Gemini, solving key API discrepancies.

Fast local parsing of PDFs, Office files, and images with per-token bounding boxes. Extract spatial text, run OCR on scans, produce layout-preserved JSON for RAG, batch-ingest folders, and render pages to PNG for multimodal agents. Fully local, no cloud API.