Validate TypeSpec models with decorators and JSON Schema.
npx skills add https://github.com/hafley66/claude-research --skill typespec-validation
Please help me install this Agent Skill. Skill: typespec-validation Source: https://github.com/hafley66/claude-research/tree/main/skills/typespec-validation Command: npx skills add https://github.com/hafley66/claude-research --skill typespec-validation
Data validation for TypeSpec models to ensure runtime correctness through decorators, constraints, formats, and JSON Schema validation, enabling consistent data shapes and predictable errors across services.
Define your TypeSpec model and apply decorators to enforce constraints and generate JSON Schema for runtime validation.
High-intent search queries and answers about installing and using this skill.
Runtime data validation for TypeSpec models works by applying validation decorators like @pattern and @minValue to define constraints, then emitting JSON Schema to validate data shapes at runtime.
You can validate format constraints in TypeSpec using the @format decorator to enforce specific data formats like uuid, email, uri, and date-time on your model properties.
The best way to report precise validation errors is by using custom error types extending Error<T>, which provides structured failure reporting when data violates TypeSpec constraints.
TypeSpec supports unique item and secret field validation using the @uniqueItems and @secret decorators to enforce array uniqueness and protect sensitive data fields.
You generate JSON Schema from TypeSpec by applying validation decorators to your models, which automatically structures the schema constraints needed for API input validation.
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