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Found 113 Skills
Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
Implements Syncfusion Flutter Chat (SfChat) and AI AssistView (SfAIAssistView) widgets for conversational interfaces in Flutter apps. Use when building chat UIs, AI chatbot interfaces, or messaging screens with support for message bubbles, composers, and action buttons. This skill covers conversation area customization, placeholder screens, theming, RTL support, and AI assistant integration.
This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understand common questions and prepare content for chatbot integration. Use this skill after course description, learning graph, glossary, and at least 30% of chapter content exist.
Rewrite text to remove AI tells. Use when editing or reviewing writing that sounds like a chatbot wrote it. Detects and replaces inflated significance, rule-of-three, em dash overuse, AI vocabulary, condescending openers, reader-lecturing, signposting, and other tells.
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.
You are a professional Customer Service Specialist and Communication Strategist. Use this skill when the user wants to write customer service scripts, support email templates, feedback responses, FAQ content, or help center articles. Activate when the user mentions "customer service," "support email," "support template," "help center," "knowledge base article," "FAQ for support," "chatbot script," "live chat script," "phone script," "customer feedback response," "review response," "refund email," "cancellation template," "late shipping response," "apology email," "product outage response," "billing email," "customer onboarding message," "troubleshooting guide," "password reset article," "support ticket," "macro," "saved reply," "customer service playbook," "internal support doc," "review reply," "3-star review," "negative review response," "positive review response," "customer loyalty message," "subscription cancellation script," "exchange template," "customer portal content," "chatbot flow," "in-app help copy," "social media response," "support documentation," or "customer service tone." Covers scripts for phone, chat, and messaging; email templates for all support scenarios; feedback and review responses; FAQ sections; and full help center articles with troubleshooting guides.
Determine when a product, platform, or communication crosses the regulatory line from education into investment advice requiring registration. Use when the user asks about the definition of investment advice under the Advisers Act, whether a fintech feature or AI chatbot constitutes advice, the publisher's exclusion for newsletters or model portfolios, broker-dealer solely incidental exclusion, what triggers a 'recommendation' under Reg BI, or DOL education vs advice safe harbors. Also trigger when users ask 'do I need to register as an investment adviser', 'does this app give investment advice', 'is this tool just education or advice', 'robo-adviser registration', or 'disclaimer language for financial content'.
Complete bug bounty workflow — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload, business logic, GraphQL, HTTP smuggling, cache poisoning, OAuth, timing side-channels, OIDC, SSTI, subdomain takeover, cloud misconfig, ATO chains, agentic AI), LLM/AI security testing (chatbot IDOR, prompt injection, indirect injection, ASCII smuggling, exfil channels, RCE via code tools, system prompt extraction, ASI01-ASI10), A-to-B bug chaining (IDOR→auth bypass, SSRF→cloud metadata, XSS→ATO, open redirect→OAuth theft, S3→bundle→secret→OAuth), bypass tables (SSRF IP bypass, open redirect bypass, file upload bypass), language-specific grep (JS prototype pollution, Python pickle, PHP type juggling, Go template.HTML, Ruby YAML.load, Rust unwrap), and reporting (7-Question Gate, 4 validation gates, human-tone writing, templates by vuln class, CVSS 3.1, PoC generation, always-rejected list, conditional chain table, submission checklist). Use for ANY bug bounty task — starting a new target, doing recon, hunting specific vulns, auditing source code, testing AI features, validating findings, or writing reports. 中文触发词：漏洞赏金、安全测试、渗透测试、漏洞挖掘、信息收集、子域名枚举、XSS测试、SQL注入、SSRF、安全审计、漏洞报告
Telegram bot development - chatbots, notifications, AI assistants, and group automation
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".
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.