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Found 48 Skills
Guide for implementing the Syncfusion WinUI AI AssistView control for creating AI chat interfaces and conversational UI. Use this skill when implementing AI chat interfaces, AI assistants, conversational UI, or chatbots in WinUI applications. Essential for creating AI-powered chat experiences, integrating AI services, displaying AI responses, showing typing indicators, providing AI suggestions, or implementing conversational interfaces with AI services in WinUI.
Chatsonic integration. Manage Users, Chats, Images, Workspaces, Prompts. Use when the user wants to interact with Chatsonic data.
Quickly build Chainlit AI chat demos for product demos, proof-of-concept, and stakeholder presentations. Trigger words: chainlit, build demo, chat demo, conversation demo
Turn long, messy AI chat conversations into clear, durable, and easily scannable reference documents that humans can reliably return to weeks or months later.
Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.
Develop @ant-design/agentic-ui components for AI chat interfaces. Use when creating thought chain visualization, tool call displays, markdown editors, bubble components, workspace panels, or any agentic UI development. Triggers on keywords like bubble, thought chain, tool use, markdown editor, workspace, chat layout, agentic.
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
Vercel AI SDK 5 patterns. Trigger: When building AI chat features - breaking changes from v4.
Guide for integrating Vercel AI SDK into Remix apps. Build AI chatbots, text completion, and agents within your Shopify app.
Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
CRITICAL: Use for MolyKit AI chat toolkit. Triggers on: BotClient, OpenAI, SSE streaming, AI chat, molykit, PlatformSend, spawn(), ThreadToken, cross-platform async, Chat widget, Messages, PromptInput, Avatar, LLM
Build AI-powered chat applications with TanStack AI and React. Use when working with @tanstack/ai, @tanstack/ai-react, @tanstack/ai-client, or any TanStack AI packages. Covers useChat hook, streaming, tools (server/client/hybrid), tool approval, structured outputs, multimodal content, adapters (OpenAI, Anthropic, Gemini, Ollama, Grok), agentic cycles, devtools, and type safety patterns. Triggers on AI chat UI, function calling, LLM integration, or streaming response tasks using TanStack AI.