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.
설치
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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.