Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning.
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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 volcengine-ai-search-ragOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install volcengine-ai-search-ragβ 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/volcengine-ai-search-rag/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Volcengine Ai Search Rag can do for your AI workflow
Retrieval and rag workflow directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,018+ developers worldwide
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 Volcengine Ai Search Rag
Help me get started with Volcengine Ai Search Rag
Explains what Volcengine Ai Search Rag does, walks through the setup, and runs a quick demo based on your current project
Use Volcengine Ai Search Rag to retrieval and RAG workflow on Volcengine AI stack
Invokes Volcengine Ai Search Rag with the right parameters and returns the result directly in the conversation
What can I do with Volcengine Ai Search Rag in my data & analytics workflow?
Lists the top use cases for Volcengine Ai Search Rag, with example commands for each scenario
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Volcengine Ai Search Rag extends your AI assistant with the ability to retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning. 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 Volcengine Ai Search Rag as its underlying capability.
Volcengine Ai Search Rag 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 Volcengine Ai Search Rag 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 Volcengine Ai Search Rag, copy the skill folder to `~/.claude/skills/volcengine-ai-search-rag/` for use across all your projects, or `.claude/skills/volcengine-ai-search-rag/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/volcengine-ai-search-rag` or just describe your goal and the AI will pick it up automatically.
Volcengine Ai Search Rag has been installed 1,018 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/volcengine-ai-search-rag/ for personal use (all projects), or .claude/skills/volcengine-ai-search-rag/ for project-specific use. Restart your AI client, then invoke with /volcengine-ai-search-rag or let the AI discover it automatically.
Volcengine Ai Search Rag supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Volcengine Ai Search Rag is free to install. Check the repository for licensing information.
Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning.
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