Loading...
Loading...
Found 2,923 Skills
Validate code quality, test coverage, performance, and security. Use when verifying implemented features meet all standards and requirements before marking complete.
Best practices for Zod schema validation and type inference in TypeScript applications.
GenAI-powered semantic validation - detects outdated docs, version mismatches, and architectural drift
Best practices for validating Dart documentation comments. Covers using `dart doc` to catch unresolved references and macros.
Develop software with validation requirements first. Emphasizes writing tests before implementation to guide design decisions.
Integrate Didit Database Validation API to verify personal data against government databases. Use when the user wants to validate identity against government records, verify national ID numbers, check CPF/CURP/DNI/cedula numbers, perform identity database lookups, validate identity documents against official sources, or implement database verification for Latin American or Spanish identity documents using Didit. Supports 18 countries with 1x1 and 2x2 matching methods.
Use when authoring or normalising a specialist skill, or preparing to ship a feature or release — defines the seven evidence categories every specialist skill must declare against and provides the canonical Release Evidence Bundle template. The contract spine that turns scattered validation skills into a coherent ship-readiness check.
Pre-build reality check for AI coding agents — scan GitHub, HN, npm, PyPI, Product Hunt to validate ideas before building
Semantic validation patterns for PROJECT.md alignment (GOALS, SCOPE, CONSTRAINTS, ARCHITECTURE)
Form request validation and comprehensive validation testing. Use when working with validation rules, form requests, validation testing, or when user mentions validation, form requests, validation rules, conditional validation, validation testing.
Use when validating data with Standard Schema-compatible schemas or handling ValidationError results.
Proof-driven exploitation with 4-level evidence system, bypass exhaustion protocol, mandatory evidence checklists, and strict EXPLOITED/POTENTIAL/FALSE_POSITIVE classification.