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Found 88 Skills
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.
Build chat interfaces for querying documents using natural language. Extract information from PDFs, GitHub repositories, emails, and other sources. Use when creating interactive document Q&A systems, knowledge base chatbots, email search interfaces, or document exploration tools.
Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.
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.
Anthropic Messages API (Claude API) for integrations, streaming, prompt caching, tool use, vision. Use for chatbots, assistants, or encountering rate limits, 429 errors.
Use the data.gouv.fr MCP server to search, explore, and analyze French Open Data datasets through AI chatbots
Chatfuel integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chatfuel data.
Threads automation — conversational engagement, text-first content, real-time discussions, and community building.
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.
Exhaustive, source-accurate guide for building iMessage applications using @photon-ai/imessage-kit (Basic) and @photon-ai/advanced-imessage-kit (Advanced). Covers every method, type, option, event, and pattern for iMessage automation, AI agents, and chat bots.
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.