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Found 46 Skills
Implement real-time streaming UI patterns for AI chat applications. Use when adding response lifecycle handlers, progress indicators, client effects, or thread state synchronization. Covers onResponseStart/End, onEffect, ProgressUpdateEvent, and client tools. NOT when building basic chat without real-time feedback.
Bidirectional agent team communication via the meet-ai chat server. Agents send and receive messages through the CLI, visible in the web UI.
This skill provides reusable implementation patterns extracted from the better-chatbot project for custom AI chatbot deployments. Use this skill when building AI chatbots with server action validators, tool abstraction systems, workflow execution, or multi-AI provider integration in your own projects (not contributing to better-chatbot itself). Use when: building AI chatbot features, implementing server action validators, creating tool abstraction layers, setting up multi-AI provider support, building workflow execution systems, adapting better-chatbot patterns to custom projects Keywords: AI chatbot patterns, server action validators, tool abstraction, multi-AI providers, workflow execution, MCP integration, validated actions, tool type checking, Vercel AI SDK patterns, chatbot architecture
Extract and structure personal context from AI chat transcripts into themed markdown files. Use when (1) Processing Claude, Claude Code, or other AI conversation exports, (2) Building personalized AI assistants from chat history, (3) Creating context files for Claude Projects, GPTs, or Gems, (4) Consolidating scattered knowledge from multiple conversations. Optimized for Claude Haiku.
企业微信客服自动化系统。自动同意好友添加、基于知识库的智能问答、未知问题人工介入提醒。适用于企业微信客服场景的 AI 助手机器人。
Chat with Glean Assistant from the command line. Use when asking questions, summarizing documents, or getting AI-powered answers about company knowledge.
Targeted Chat Room: Recommend experts based on topics or accept user-specified experts to simulate multi-role conversations. Trigger methods: /定向聊天室, 「定向聊天室」
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.
Implement the Syncfusion Blazor AI AssistView component for AI-powered chat interfaces in Blazor applications. Use this skill when implementing conversational AI, chatbots, AI assistants, or prompt-response interfaces. Covers AssistViewPrompt setup, PromptRequested events, markdown responses, and prompt suggestions with avatar customization.
Chat with Glean Assistant from the command line. Use when asking questions, summarizing documents, or getting AI-powered answers about company knowledge.
Modern web applications with authentic Windows 3.1 aesthetic. Solid navy title bars, Program Manager navigation, beveled borders, single window controls. Extrapolates Win31 to AI chatbots (Cue Card paradigm), mobile UIs (pocket computing). Activate on 'windows 3.1', 'win31', 'program manager', 'retro desktop', '90s aesthetic', 'beveled'. NOT for Windows 95 (use windows-95-web-designer - has gradients, Start menu), vaporwave/synthwave, macOS, flat design.
Quickly build Chainlit AI chat demos for product demos, proof-of-concept, and stakeholder presentations. Trigger words: chainlit, build demo, chat demo, conversation demo