autogenerate-validators

Auto-generate validators by transforming BR-* business rule specifications into executable Python validation functions. The Skill creates validators for regex patterns, numeric ranges, and allowed-value constraints, then generates comprehensive unit tests covering happy paths, boundaries, and error cases.

Yes. The Skill supports diverse validation patterns including regex format matching, min/max numeric ranges, enum value checks, length constraints, and uniqueness validation. Each generates a dedicated Python validator function with consistent naming and per-rule constants.

Define validation rules once as BR-* specifications and auto-generate reusable Python validators and tests. This ensures consistent validation behavior across forms, APIs, and data models while eliminating manual, error-prone duplication.

Generated tests cover happy-path acceptance, boundary conditions, and error rejection for each validation rule. Test coverage spans regex matches, numeric range boundaries, enum membership, and length constraints with pytest automation.

The Skill generates Python validators applicable to forms, REST APIs, and data models. Validation patterns—regex, ranges, enums—apply universally; output is native Python code deployable wherever Python runs.

Write business rule specifications in BR-* format describing validation constraints: regex patterns, numeric ranges, or allowed values. pytest must be available for test execution. The Skill then generates both validator functions and test suites automatically.