rasa-writing-custom-actions

What problem does it solve?

This Skill provides guidance and best practices for writing custom Python actions in Rasa, enabling developers to extend conversational AI agents with custom logic and integrations.

Core Features & Use Cases

• Custom Logic Implementation: Execute Python code for tasks like API calls, database queries, or complex computations.
• Integration with External Services: Connect Rasa agents to external systems and data sources.
• Dynamic Responses & Validation: Create custom responses and implement sophisticated slot validation logic.
• Use Case: You need to integrate your Rasa chatbot with a CRM to fetch customer details before responding to a query. This Skill will guide you on creating a custom action to perform that API call and update the conversation state.

Quick Start

Use the rasa-writing-custom-actions skill to create a new custom action file named action_get_user_profile.py in the actions/ directory.