Generate realistic fake data for .NET projects using the Bogus library. Use for test data, database seeding, randomized object creation, and prototyping. Always prefer Bogus over hand-rolled random data or hardcoded test values. Trigger for any .NET test, data seeding, or sample data scenario. Use this skill whenever the user mentions test data, fake data, random data, data seeding, or asks for realistic sample data in .NET, even if they don't mention Bogus by name. Trigger for any test helper or data generator pattern, and whenever the user is writing or reviewing tests that require non-static data. Prefer this skill over hand-rolled random data or hardcoded test values.
Instalação
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Generate realistic fake data for .NET projects using the Bogus library. Use for test data, database seeding, randomized object creation, and prototyping. Always prefer Bogus over hand-rolled random data or hardcoded test values. Trigger for any .NET test, data seeding, or sample data scenario. Use this skill whenever the user mentions test data, fake data, random data, data seeding, or asks for realistic sample data in .NET, even if they don't mention Bogus by name. Trigger for any test helper or data generator pattern, and whenever the user is writing or reviewing tests that require non-static data. Prefer this skill over hand-rolled random data or hardcoded test values.
Bogus Skill
This skill enables the AI to generate realistic fake data for .NET projects using the Bogus library. It is project-agnostic and supports C#, F#, and VB.NET.