Generates videos using Pollinations API. Validates duration, audio, and interpolation capabilities. Use for: video generation logic, model selection, duration constraints. DO NOT use for: image generation (use generating-images), thumbnailing (handled automatically).
Build the FastAPI-based RAG service using OpenAI Agents/ChatKit, Neon Postgres, and Qdrant for the textbook. Use when creating ingestion pipelines, query endpoints, or configuring vector storage for book content.
Enforces the user's strict communication and operational rules regarding language, confirmation, and tool usage.
FOLLOW THE STATE MACHINE IN SKILL.MD. When user says 'continue': (1) FIRST: Run pwd, (2) Announce STATE: CHECK_STATUS, (3) Read .claude/session.md to check Status field, (4) Route based on Status. NEVER auto-advance tasks. NEVER use TodoWrite. NEVER create git commits.
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
Framework de OpenAI para construir interfaces de chat AI personalizables con React. Incluye componentes UI pre-construidos, streaming de respuestas, manejo de archivos y gestión de threads.
Enterprise MCP (Model Context Protocol) server development using FastMCP 2.0 with production-grade tools, resources, prompts, and intelligent agent-first design. Use when building MCP servers, integrating with LLMs, creating agent tools, implementing RAG systems, or developing protocol-based AI integration solutions.
Use when making prioritization calls, strategic bets, or any decision worth tracking for future learning - logs decision context, rationale, and expected outcomes for later review
Robotics Operating System (ROS) expert for robot development, navigation, perception, and control systems
Implement the /chat endpoint that performs agent-based RAG reasoning with proper input validation and response formatting.
Создаёт новые Claude Code Skills в текущем проекте. Используй когда пользователь просит: - Создать новый навык или скилл - Добавить автоматизацию для рабочего процесса - Построить кастомное поведение агента - Сгенерировать SKILL.md файлы - Настроить проектные инструкции для Claude Триггеры: "создай навык", "новый скилл", "добавь skill", "сделай навык для", "автоматизируй", "научи claude", "create skill", "new skill"
Generate AgnosticV catalog description from lab or demo content for RHDP provisioning.
Multi-agent workflow orchestration patterns for Clojure+Vertex AI. Covers sequential/parallel/DAG topologies, state management (stateless/stateful/hybrid), error handling (retry/circuit breaker), and monitoring. Includes production metrics from healthcare pipeline (99.4% latency reduction, 92.4% cost reduction). Use when designing multi-agent systems, implementing complex pipelines, optimizing workflow performance, or building production orchestration.
LLM이 잘 설계된 도구를 통해 외부 서비스와 상호작용할 수 있게 해주는 고품질 MCP (Model Context Protocol) 서버를 만들기 위한 가이드입니다. Python (FastMCP) 또는 Node/TypeScript (MCP SDK)를 사용하여 외부 API나 서비스를 통합하는 MCP 서버를 구축할 때 사용하세요.
Invoke a multi-model council for diverse perspectives on design questions
Generate and edit images using either OpenAI GPT Image 1.5 or Google's Nano Banana Pro (Gemini 3 Pro Image). Use when the user asks to generate/create/edit/modify images. Supports image-to-image editing for both providers and optional mask-based inpainting for OpenAI.
Transform long-running AI tools into real-time SSE progress streams
Orchestrate multiple independent subagents concurrently with coordinated collection
Integrates Anthropic Claude API for chat, tool use, and vision capabilities. Use when building AI-powered features with Claude models including streaming, extended thinking, and multi-turn conversations.
How to deploy Claude Code with Amazon Bedrock, Google Vertex AI, and other cloud providers. Use when user asks about AWS Bedrock, GCP Vertex AI, cloud deployment, or enterprise deployment.
Creates and configures HTTP with Server-Sent Events Model Context Protocol (MCP) server connections for OpenAI Agents SDK
