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Found 30 Skills
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.
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.
Chatlayer integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chatlayer data.
This skill should be used when the user asks to "chat with AI", "ask Olly", "ask the agent", "send message to AI", "continue a chat", "follow up on chat", "get artifact", "download artifact", "list artifacts", "retrieve generated content", "AI-generated charts", "AI analysis", "conversational observability", "natural language query", or wants to interact with the Coralogix Observability Agent (Olly) using the cx CLI.
When the user wants to build or improve a sales bot's ability to introduce scarcity or time-sensitivity without being pushy. Also use when the user mentions "creating urgency," "scarcity," "time-sensitive offers," "limited availability," or "driving action."
Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels".
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."
Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu
Use anime-style multi-role continuous conversational code review to output review opinions with natural technical anchors through strong character interaction
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.
Smart answering framework that automatically adapts to question types and delivers evidence-based, natural responses.