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Found 37 Skills
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur
When the user wants to build or improve a sales bot's ability to test individual message variants. Also use when the user mentions "message testing," "A/B testing messages," "variant testing," "message optimization," or "reply testing."
Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. Integrates modern support tools, chatbot platforms, and CX optimization with 2024/2025 best practices. Use PROACTIVELY for comprehensive customer experience management.
Create and configure Vapi voice AI assistants with models, voices, transcribers, tools, hooks, and advanced settings. Use when building voice agents, phone bots, customer support assistants, or any conversational AI that handles phone or web calls.
Implement the Syncfusion Angular AI AssistView component. Use this skill when you need to create conversational AI interfaces, integrate AI services, add chat-like UI, or create intelligent assistant applications. Includes setup, configuration, event handling, AI integrations (OpenAI, Gemini, Ollama), speech features, and customization. Use this skill for all AI AssistView component implementation needs.
Greet the user warmly. Use when the user says hello, hi, or any greeting.
Build interactive chat agents for exploring and discussing academic research papers from ArXiv. Covers paper retrieval, content processing, question-answering, and research synthesis. Use when building research assistants, paper summarization tools, academic knowledge bases, or scientific literature chatbots.
This skill should be used when the user asks to "create chatbot", "virtual agent", "VA topic", "NLU", "conversation", "chat flow", "topic block", or any ServiceNow Virtual Agent development.
Chatlayer integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chatlayer data.
Use anime-style multi-role continuous conversational code review to output review opinions with natural technical anchors through strong character interaction
Boost.ai integration. Manage data, records, and automate workflows. Use when the user wants to interact with Boost.ai data.
Builds LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG pipeline".