
from claude-command-and-control12
A visual drag-and-drop framework for building, deploying, and orchestrating AI agents and RAG workflows with native MCP integration.
This skill provides comprehensive guidance and operational instructions for using Langflow, a Python-based visual platform that allows users to build complex AI workflows without extensive coding. It enables the creation of autonomous agents, multi-agent coordination systems, and production-grade RAG (Retrieval-Augmented Generation) applications.
Use this skill when you need to prototype LLM applications rapidly, integrate Model Context Protocol (MCP) servers, or deploy scalable AI workflows using Docker or Kubernetes. It is particularly useful for setting up document Q&A systems via the integrated OpenRAG platform.
Designed for agents capable of executing shell commands, managing Python environments (via uv), and interacting with web-based visual interfaces (Claude Code, Codex, etc.).
This skill has not been reviewed by our automated audit pipeline yet.