Typebox

The typebox skill integrates TypeBox, a TypeScript-first runtime type validation library, directly into AI agent workflows. It enables agents to define strict schemas for data exchange and automatically validate inputs against these definitions at runtime. This ensures data integrity and prevents malformed payloads from disrupting application logic.

When to use it

• Enforcing strict JSON schema validation on user inputs received by an AI agent.
• Generating TypeScript interfaces directly from JSON Schema definitions for consistent code generation.
• Validating complex nested data structures before processing them within a serverless function.
• Ensuring API request and response payloads match expected formats to prevent runtime errors.

Key capabilities

• Runtime type validation using JavaScript/TypeScript.
• Support for JSON Schema Draft 7 and Draft 2020-12.
• Automatic generation of TypeScript types from schemas.
• Integration with popular frameworks like Express, NestJS, and Fastify.
• Serialization and deserialization of validated data.

Example prompts

• "Create a TypeBox schema to validate user registration data including email, age, and password requirements."
• "Generate TypeScript types from this JSON Schema using TypeBox for my API endpoint."
• "Implement runtime validation in my Node.js server using TypeBox to ensure all incoming requests match the defined payload structure."

Tips & gotchas

Ensure your target environment supports the specific JavaScript features used by TypeBox, as it relies on modern TypeScript constructs. While powerful, always test validation logic with edge cases to confirm strict adherence to schema rules during runtime.