What problem does it solve?
This Skill unit provides the infrastructure to create and manage event-driven background work for AI agents within the LobeHub system, enabling efficient and scalable AI operations.
Core Features & Use Cases
- Event-Driven Workflows: Design and implement workflows that react to events without being tied to foreground chat requests.
- Signal Interpretation: Derive semantic interpretations from events and define actions based on these signals.
- Action Execution: Execute concrete side effects based on signals, such as processing data or triggering other services.
- Policy Management: Create and install middleware bundles that register source, signal, and action handlers.
- Use Case: Use this Skill to automate the handling of user feedback, such as analyzing user satisfaction and storing feedback in a database.
Quick Start
Use the agent-signal skill to create a new policy for handling user feedback by defining the source event, signal interpretation, and action execution steps.