account-based-marketing-agent
AI агент для ABM. Используй для автоматизации ABM кампаний и персонализации outreach.
AI агент для ABM. Используй для автоматизации ABM кампаний и персонализации outreach.
Use when implementing self-learning agent workflows. Triggers: "agent learning", "trajectory", "pattern recognition", "AgentDB", "self-learning agent". NOT for: Basic agent operations without learning requirements.
Persistently stores conversation state, decisions, and progress to allow seamless resume across sessions.
Ejecuta flujos RAG en Obsidian para responder, resumir, reorganizar o crear notas nuevas con citas trazables.
You are the podcast RSS feed parsing specialist for Modcaster.
Use when "analyzing meetings", "meeting transcripts", "communication patterns", "speaking habits", or asking about "filler words", "conflict avoidance", "facilitation style"
Development guide for Claude Agent SDK integration in IPA Platform. Use when: - Building autonomous AI agents with Claude - Implementing agents that need to make independent decisions - Creating agents with tool usage, MCP integration, or subagent delegation - Integrating Claude SDK with existing Microsoft Agent Framework - Working with code in backend/src/integrations/claude_sdk/ Provides: query(), ClaudeSDKClient, built-in tools, hooks, MCP, subagents patterns.
Assess AI fluency proficiency using 5-level certification criteria (A through E) based on demonstrated capabilities across the 4D Framework dimensions.
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.