📋 Rag
This skill helps design and implement retrieval-augmented generation systems with vector databases, embeddings, and grounding for knowledge-grounded AI.
npx playbooks add skill giuseppe-trisciuoglio/developer-kit --skill rag
About Rag
This skill helps design and implement retrieval-augmented generation systems with vector databases, embeddings, and grounding for knowledge-grounded AI.
The 18-word prompt provides structured developer workflow guidance — covering detailed methodology and consistent output formats. Install it in one command.
Use Cases
- Streamlining git workflows and commit conventions
- Setting up CI/CD pipelines and deployment scripts
- Managing monorepos and multi-package projects
- Automating release notes and changelogs
Example Prompts
System Prompt (18 words)
This skill helps design and implement retrieval-augmented generation systems with vector databases, embeddings, and grounding for knowledge-grounded AI.
Frequently Asked Questions
What is Rag?
Rag is a free developer workflow skill for AI coding agents. This skill helps design and implement retrieval-augmented generation systems with vector databases, embeddings, and grounding for knowledge-grounded AI.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
How do I use Rag with Claude Code?
Run npx playbooks add skill giuseppe-trisciuoglio/developer-kit --skill rag in your terminal to install Rag into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Rag?
Rag 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 free to use?
Yes, Rag is completely free and open source. The full source is available on GitHub at https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-ai/skills/rag. You only need a subscription to the AI agent you use it with.
