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Found 101 Skills
AssemblyAI integration. Manage Transcripts, Speakers, Jobs. Use when the user wants to interact with AssemblyAI data.
Use when the user asks to "create an agent", "set up an agent", "add my agent to Cekura", "configure my voice agent", "connect my agent", "set up mock tools", "add tools to my agent", "upload knowledge base", "configure integration", "connect VAPI", "connect Retell", "connect LiveKit", "connect ElevenLabs", "add dynamic variables", or needs to onboard a voice AI agent onto the Cekura platform. Covers the full agent setup flow: collecting context, creating the agent, configuring the provider integration, setting up mock tools, uploading knowledge base files, and adding dynamic variables.
Configure Qdrant vector database for GrepAI. Use this skill for high-performance vector search.
n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI integration, covering 10 nodes. Keywords: n8n, workflow, automation, node, trigger, webhook, http request, database, ai agent.
bkend.ai practical project tutorials and troubleshooting guide. Covers 10 single-project guides (todo to SaaS) and 4 full-guide projects (blog, recipe-app, shopping-mall, social-network) with step-by-step implementation. Also includes common error solutions and FAQ. Triggers: cookbook, tutorial, example project, todo app, blog app, shopping mall, 쿡북, 튜토리얼, 예제, 블로그, 쇼핑몰, 투두, 프로젝트 만들기, クックブック, チュートリアル, 例題, ブログ, ショッピング, 食谱, 教程, 示例, 博客, 商城, libro de cocina, tutorial, ejemplo, blog, tienda, livre de recettes, tutoriel, exemple, blog, boutique, Kochbuch, Tutorial, Beispiel, Blog, Shop, ricettario, tutorial, esempio, blog, negozio Do NOT use for: API reference details (use bkend-data/auth/storage), platform management (use bkend-quickstart).
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video).
AI image generation with OpenAI, Google, DashScope and Canghe APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
Integrate Azure AI Services, Azure OpenAI, and Cognitive Services.
Expert knowledge for Azure Database for PostgreSQL development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Database for PostgreSQL applications. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Cosmos DB (use azure-cosmos-db).
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
Implements and debugs browser Summarizer, Writer, and Rewriter integrations in JavaScript or TypeScript web apps. Use when adding availability checks, model download UX, session creation, summarize or write or rewrite flows, streaming output, abort handling, or permissions-policy constraints for built-in writing assistance APIs. Don't use for generic prompt engineering, server-side LLM SDKs, or cloud AI services.