rag-agent

What problem does it solve?

This skill provides a structured scaffold to rapidly generate new RAG domain agents, including an agent class, a prompt template, and unit tests, all following a consistent project layout.

Core Features & Use Cases

• Scaffold new agent packages under rag/ with agents/, prompts/, and tests/ directories.
• Generate a ready-to-run skeleton for LangChain-based agents connected to a vector store.
• Provide a test skeleton to validate can_handle and process behavior across domain agents.
• Useful when adding new domains, separating specialized agents, or prototyping domain-specific assistants.

Quick Start

• Provide the following inputs to generate a new agent:
  • Agent name (snake_case)
  • Domain description
  • Keywords list
  • Vector collection name
• The system will create rag/agents/{name}_agent.py, rag/prompts/{name}prompt.py, and rag/tests/unit/test{name}_agent.py with a basic test scaffold.
• Then register the new agent in the router to enable routing in the application.