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Found 16 Skills
WhatsApp Business automation - customer support, notifications, chatbots, and broadcast messaging
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
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.
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
Expert assistant for BuilderBot (v1.4.0) — a TypeScript/JavaScript framework for building multi-platform chatbots (WhatsApp, Telegram, Instagram, Email, etc.). Use when creating or editing flows (addKeyword, addAnswer, addAction), wiring EVENTS, managing per-user state or globalState, configuring providers (Baileys, Meta, Telegram, Evolution, etc.) or databases (Mongo, Postgres, MySQL, JSON), implementing REST API endpoints (handleCtx, httpServer), debugging flow control (gotoFlow, endFlow, fallBack, idle, capture, flowDynamic), or handling blacklist logic. Architecture: Provider + Database + Flow.
Proactively apply when generating Slack API payloads with blocks, chat.postMessage calls with structured content, or views.open/views.publish calls. Triggers on Block Kit, Slack blocks, section block, actions block, header block, divider block, context block, table block, markdown block, rich text block, image block, input block, video block, context_actions block, plan block, task_card block, Slack modal, Slack App Home, Slack surfaces, Slack interactive elements, Slack button, Slack select menu, Slack overflow, Slack datepicker, Slack checkboxes, Slack radio buttons, Work Objects, Slack link unfurl, chat.postMessage blocks, views.open, views.update, views.push, views.publish, Slack composition objects. Use when building Block Kit payloads, constructing blocks arrays, creating modals or App Home views, adding interactive elements, implementing link unfurling with Work Objects, or designing rich message layouts. Slack Block Kit UI framework for building rich message layouts, modals, and App Home views.
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.
Chatbot Builder integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chatbot Builder data.
Reference skill for Zoom Team Chat. Use after routing to a chat workflow when building user-scoped messaging integrations, chatbot experiences, rich cards, buttons, slash commands, or chat webhooks.
This skill should be used when users need to work with the Vercel AI SDK for building AI-powered applications. It provides comprehensive guidance on core APIs (generateText, streamText), UI components (useChat, useCompletion), tool calling, structured data generation, provider management, streaming protocols, and advanced features like middleware and custom providers.
When the user wants to build or improve a sales bot's ability to keep exchanges natural while progressing toward outcomes. Also use when the user mentions "conversation design," "dialog flow," "bot conversations," "natural conversations," or "guided conversations."
Build a conversational AI assistant with memory and state. Use when you need a customer support chatbot, helpdesk bot, onboarding assistant, sales qualification bot, FAQ assistant, or any multi-turn conversational AI. Powered by DSPy for response quality and LangGraph for conversation state management.