Effect Schema

What it does

This skill allows AI agents to define and utilize structured "effect schemas." These schemas describe the expected outcomes of actions, including parameters and potential values. This enables more predictable agent behavior and facilitates integration with external systems that rely on consistent action results. The effect schema provides a blueprint for what an action should do.

When to use it

• Automating complex tasks: Define schemas for actions like "send email" or "book appointment" ensuring all necessary parameters are included and the outcome is predictable.
• Integrating with APIs: Create schemas that map agent actions to specific API calls, defining expected request formats and response structures.
• Building reactive systems: Use effect schemas to trigger downstream processes based on the successful completion of an action and its resulting data.
• Improving agent reliability: Enforce consistent action execution by requiring adherence to predefined effect schemas.

Key capabilities

• Definition of structured effect schemas.
• Parameter specification within schemas (name, type, values).
• Expected outcome definition for actions.
• Integration with external systems based on schema compliance.

Example prompts

• "Define an effect schema for 'order pizza' including parameters like size, toppings, and delivery address."
• "Create a schema that maps the 'create invoice' action to the accounting API."
• “Show me all defined effect schemas.”

Tips & gotchas

The effectiveness of this skill relies on accurate and comprehensive schema definitions. Incomplete or incorrect schemas can lead to unexpected agent behavior or integration failures.