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Found 58 Skills
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.
Greet the user warmly. Use when the user says hello, hi, or any greeting.
Enables Claude to interact with Gemini AI chat for quick queries, brainstorming, and alternative AI perspectives
Retrieve Binance Academy's official educational content (Glossary, Courses, Learn & Earn, Articles) for AI chat. Trigger when the user's message expresses one of these INTENTS (NOT keyword matches): (1) Knowledge Q&A — "What is Gas Fee?", "Why did I receive less crypto than I sent?", "How does staking work?" (2) Risk Education — high-risk trading/investment intent: leverage, borrowing to trade, all-in, scams, "20x long", "borrowing to amplify position" (3) Customized Learning Plan — "I want to learn DeFi", "Build me a 5-day Bitcoin plan", "DeFi learning path for beginners" (4) Learn & Earn — "Which Academy courses have rewards?", "一文读懂 X", "What is X (TICKER)?", "courses that pay crypto" This skill extracts clean query terms from natural language before calling the API. It NEVER gives investment advice — educational content only.
Guide for Vercel AI SDK v6 implementation patterns including generateText, streamText, ToolLoopAgent, structured output with Output helpers, useChat hook, tool calling, embeddings, middleware, and MCP integration. Use when implementing AI chat interfaces, streaming responses, agentic applications, tool/function calling, text embeddings, workflow patterns, or working with convertToModelMessages and toUIMessageStreamResponse. Activates for AI SDK integration, useChat hook usage, message streaming, agent development, or tool calling tasks.
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.
Turn long, messy AI chat conversations into clear, durable, and easily scannable reference documents that humans can reliably return to weeks or months later.
This skill provides project-specific coding conventions, architectural principles, repository structure standards, testing patterns, and contribution guidelines for the better-chatbot project (https://github.com/cgoinglove/better-chatbot). Use this skill when contributing to or working with better-chatbot to understand the design philosophy and ensure code follows established patterns. Includes: API architecture deep-dive, three-tier tool system (MCP/Workflow/Default), component design patterns, database repository patterns, architectural principles (progressive enhancement, defensive programming, streaming-first), practical templates for adding features (tools, routes, repositories). Use when: working in better-chatbot repository, contributing features/fixes, understanding architectural decisions, following server action validators, implementing tools/workflows, setting up Playwright tests, adding API routes, designing database queries, building UI components, handling multi-AI provider integration Keywords: better-chatbot, chatbot contribution, better-chatbot standards, chatbot development, AI chatbot patterns, API architecture, three-tier tool system, repository pattern, progressive enhancement, defensive programming, streaming-first, compound component pattern, Next.js chatbot, Vercel AI SDK chatbot, MCP tools, workflow builder, server action validators, tool abstraction, DAG workflows, shared business logic, safe() wrapper, tool lifecycle
TDesign Vue 3 component library usage guide, covering tdesign-vue-next 1.x series, including basic components, forms, tables, theme customization, dark mode, and AI Chat components
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」
Bidirectional agent team communication via the meet-ai chat server. Agents send and receive messages through the CLI, visible in the web UI.