Convex Schema Validators

What it does

This skill validates data against Convex schema definitions. It can check if provided data conforms to a specified schema, identify errors or inconsistencies, and provide detailed reports about the validation results. This ensures data integrity and helps prevent issues arising from incorrect data structures.

When to use it

• Data Entry Validation: Verify user input in forms against predefined data types and constraints before saving to a database.
• API Request Verification: Validate incoming requests to an API endpoint to ensure they contain the expected data structure and format.
• Configuration File Parsing: Confirm that configuration files adhere to their defined schema, preventing parsing errors or unexpected behavior.
• Data Migration Checks: Validate migrated data against a new schema to identify potential inconsistencies or transformation issues.

Key capabilities

• Schema validation
• Error reporting
• Convex schema support

Example prompts

• "Validate this JSON data: { "name": "John Doe", "age": 30 } against the schema {'name': 'string', 'age': 'number'}."
• "Check if this data is valid according to my Convex schema: [data string]"
• "Can you validate this configuration file and tell me what errors it contains?"

Tips & gotchas

• Requires a clear and accurate Convex schema definition for validation. Incorrect schemas will lead to inaccurate results.