convex-schema-validator

Type-safe database schema definition with indexes, validation, and migration strategies for Convex. Define and validate database schemas in Convex with proper typing, index configuration, optional fields, unions, and strategies for schema migrations. Before implementing, do not assume; fetch the latest documentation: Always include all indexed fields in the index name: - Supports 13+ validator types including strings, numbers, booleans, document references, arrays, objects, unions, and discriminated unions for flexible data modeling - Enables single-field and compound indexes plus full-text search indexes for optimized query performance - Provides optional and nullable field patterns with clear migration paths for adding required fields and backfilling data - Includes nested objects, arrays of objects, and record types for complex data structures with full TypeScript type inference - Primary: - Indexes: - Data Types: - For broader context: - Never run npx convex deploy unless explicitly instructed - Never run any git commands unless explicitly instructed - Always define explicit schemas rather than relying on inference - Use descriptive index names that include all indexed fields - Start with optional fields when adding new columns - Use discriminated unions for polymorphic data - Validate data at the schema level, not just in functions - Plan index strategy based on query...