data-validation-patterns

What problem does it solve?

This Skill standardizes and enforces runtime data integrity by validating all external data against Zod schemas before use, preventing type errors and downstream bugs.

Core Features & Use Cases

• Centralized validation: place schemas in lib/validation/ and reuse across API clients and UI layers.
• Safe parsing with fallbacks: use safeParse to avoid exceptions and provide safe defaults or null when validation fails.
• End-to-end observability: capture validation failures (e.g., in Sentry) to surface data quality issues in production.
• Use cases include validating API responses, webhook payloads, user input, and URL/query parameters across client and server boundaries.

Quick Start

Create Zod schemas in lib/validation/, write parse helpers with safeParse, and wire them into your API wrappers or UI fetch logic. Example usage involves validating a fetched payload before transforming it into domain objects.