Universal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install ragflowOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install ragflowβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/ragflow/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Ragflow API Client can do for your AI workflow
Universal client for ragflow directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Ragflow API Client
Help me get started with Ragflow API Client
Explains what Ragflow API Client does, walks through the setup, and runs a quick demo based on your current project
Use Ragflow API Client to universal client for Ragflow API enabling dataset management, docum...
Invokes Ragflow API Client with the right parameters and returns the result directly in the conversation
What can I do with Ragflow API Client in my data & analytics workflow?
Lists the top use cases for Ragflow API Client, with example commands for each scenario
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Ragflow API Client extends your AI assistant with the ability to universal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Ragflow API Client as its underlying capability.
Ragflow API Client works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Ragflow API Client once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Ragflow API Client takes about two minutes. Place the skill at `~/.claude/skills/ragflow/` (personal, all projects) or `.claude/skills/ragflow/` (project-specific), then restart your AI client. From that point, typing `/ragflow` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Ragflow API Client has 989 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/ragflow/ for personal use (all projects), or .claude/skills/ragflow/ for project-specific use. Restart your AI client, then invoke with /ragflow or let the AI discover it automatically.
Ragflow API Client supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Ragflow API Client is free to install. Check the repository for licensing information.
Universal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.
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