Skill UI

Build a comprehensive, real-time support chat system designed for modern applications. This solution provides a floating, user-facing chat widget for instant customer inquiries and a robust admin dashboard for support staff. It handles real-time messaging, chat history management, and notification systems via WebSockets, making it ideal for integrating live support channels into any platform.

A comprehensive skill for managing the entire lifecycle of datasets on the Hugging Face Hub. It allows users to initialize, configure, and stream updates for datasets of various types (Chat, Text Classification, Tabular). Crucially, it extends data handling capabilities by enabling powerful SQL-based querying and transformation directly on Hub datasets using the DuckDB engine, facilitating advanced data exploration and pipeline creation.

MolyKit is a comprehensive toolkit designed for building robust, cross-platform AI chat applications. It provides core utilities for integrating large language models (LLMs) like OpenAI, handling real-time SSE streaming responses, and managing complex cross-platform asynchronous patterns (PlatformSend, spawn()). The kit includes ready-to-use widgets for messages, prompt inputs, and avatars, making it ideal for developers creating sophisticated, multilingual chat experiences.

This skill provides best practices for structuring complex, production-ready applications built with Makepad. It details robust asynchronous communication patterns, showing how to integrate the Tokio runtime, manage state synchronization, and handle data flow between the main UI thread and background worker tasks using MPSC channels and SignalToUI. Essential for developing advanced chat clients or data streaming services.

A comprehensive guide and best practices for managing event handling and defining custom action patterns within Makepad applications. It covers centralized action processing (using MatchEvent), widget-to-widget communication, and implementing complex state logic, making it ideal for building robust chat clients or complex UI systems.

This skill provides best practices for integrating Matrix SDK functionality into Makepad applications. It details the architecture and implementation patterns for building robust, real-time chat clients. Topics include using native Sliding Sync for efficient room updates, managing asynchronous requests (e.g., sending messages, fetching timelines), and handling complex Matrix operations within a Tokio runtime environment.

Enables an OpenClaw agent to place managed outbound phone calls for alerts, briefings, reminders, and urgent notifications without Twilio, combining REST-triggered dialing with transcription and TTS so conversations feel like chat.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.

Comprehensive SEO analysis for any website or business type: full site audits, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals), schema markup, content quality (E-E-A-T), image optimization, sitemaps, and GEO for AI Overviews and ChatGPT.

Optimize content for AI-powered search experiences like Google AI Overviews and ChatGPT. Focus on brand mentions, structural readability, and technical accessibility to improve AI citation rates and search visibility for generative engines.

This advanced GEO-first tool performs comprehensive audits designed for the modern AI search landscape (ChatGPT, Gemini, Google AI Overviews). It moves beyond traditional SEO, assessing citability scoring, E-E-A-T, technical foundations, structured data validation, and brand authority signals. It provides actionable, client-ready reports to ensure maximum visibility in AI-driven search traffic.

Assess how likely AI systems such as ChatGPT, Claude, Perplexity or Gemini are to extract and cite content from a page by scoring answer blocks, self-contained facts, and structure, and by giving rewrite tips to improve visibility in AI responses.