📝 Rag_service
This skill enables fast, multi-path semantic search with Milvus, rerank precision, and scalable document storage for large-scale knowledge retrieval.
npx playbooks add skill lin-a1/skills-agent --skill rag_service
About Rag_service
This skill enables fast, multi-path semantic search with Milvus, rerank precision, and scalable document storage for large-scale knowledge retrieval.
The 19-word prompt provides structured documentation guidance — covering detailed methodology and consistent output formats. Install it in one command.
Use Cases
- Writing API references and README files
- Generating inline code comments and docstrings
- Creating architecture decision records (ADRs)
- Keeping docs in sync with code changes
Example Prompts
System Prompt (19 words)
This skill enables fast, multi-path semantic search with Milvus, rerank precision, and scalable document storage for large-scale knowledge retrieval.
Frequently Asked Questions
What is Rag_service?
Rag_service is a free documentation skill for AI coding agents. This skill enables fast, multi-path semantic search with Milvus, rerank precision, and scalable document storage for large-scale knowledge retrieval.. It provides a specialized system prompt that configures your agent with documentation expertise.
How do I use Rag_service with Claude Code?
Run npx playbooks add skill lin-a1/skills-agent --skill rag_service in your terminal to install Rag_service into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Rag_service?
Rag_service is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Rag_service free to use?
Yes, Rag_service is completely free and open source. The full source is available on GitHub at https://github.com/lin-a1/skills-agent/tree/main/services/rag_service. You only need a subscription to the AI agent you use it with.
