RAGFlow knowledge base Q&A and operation guidance. Call the RAGFlow knowledge base API to conduct intelligent question and answer, and provide agent operation suggestions based on the results returned by the knowledge base. Supports streaming output, wait patiently for the complete response to be generated. This skill is triggered when users ask technical questions, troubleshoot, operate guidance, or require knowledge base retrieval. Suitable for scenarios such as container/Docker issues, system operation and maintenance, and development-related issues.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install ck-rag-skillOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install ck-rag-skillβ 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/ck-rag-skill/π‘Extract and place the folder at the path above, then restart your agent.
Category
Developer & DevOpsWhat ck-rag-skill can do for your AI workflow
Ragflow knowledge base q&a 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 ck-rag-skill
Help me get started with ck-rag-skill
Explains what ck-rag-skill does, walks through the setup, and runs a quick demo based on your current project
Use ck-rag-skill to rAGFlow knowledge base Q&A and operation guidance
Invokes ck-rag-skill with the right parameters and returns the result directly in the conversation
What can I do with ck-rag-skill in my developer & devops workflow?
Lists the top use cases for ck-rag-skill, with example commands for each scenario
Guides & tutorials for AI skills
10 Fresh GitHub Agent Skills Added in June 2026
A hand-checked shortlist of recently updated GitHub agent skills that were not already in our catalog, excluding marketplaces, awesome lists, managers, and generic skill directories.
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
ck-rag-skill extends your AI assistant with the ability to rAGFlow knowledge base Q&A and operation guidance. Call the RAGFlow knowledge base API to conduct intelligent question and answer, and provide agent operation suggestions based on the results returned by the knowledge base. Supports streaming output, wait patiently for the complete response to be generated. This skill is triggered when users ask technical questions, troubleshoot, operate guidance, or require knowledge base retrieval. Suitable for scenarios such as container/Docker issues, system operation and maintenance, and development-related issues. 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 ck-rag-skill as its underlying capability.
ck-rag-skill 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 ck-rag-skill 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.
To install ck-rag-skill, copy the skill folder to `~/.claude/skills/ck-rag-skill/` for use across all your projects, or `.claude/skills/ck-rag-skill/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/ck-rag-skill` or just describe your goal and the AI will pick it up automatically.
ck-rag-skill has 981 installs and is part of the growing Developer & DevOps 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/ck-rag-skill/ for personal use (all projects), or .claude/skills/ck-rag-skill/ for project-specific use. Restart your AI client, then invoke with /ck-rag-skill or let the AI discover it automatically.
ck-rag-skill supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
ck-rag-skill is free to install. Check the repository for licensing information.
RAGFlow knowledge base Q&A and operation guidance. Call the RAGFlow knowledge base API to conduct intelligent question and answer, and provide agent operation suggestions based on the results returned by the knowledge base. Supports streaming output, wait patiently for the complete response to be generated. This skill is triggered when users ask technical questions, troubleshoot, operate guidance, or require knowledge base retrieval. Suitable for scenarios such as container/Docker issues, system operation and maintenance, and development-related issues.
Links
Automate my developer & devops tasks using ck-rag-skill
Identifies repetitive steps in your workflow and sets up ck-rag-skill to handle them automatically
ck-rag-skill is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.