Browse published AI skills maintained by MarcelMichau. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
688Repository forks
144Average repository stars per indexed skill
86Repository stars may repeat across skills from the same repository.
Executes frontend component unit tests for the Fake Survey Generator React application using Vitest. This skill validates that React components are properly tested and that existing tests continue to pass. Repo...
Executes backend unit tests and integration tests for the Fake Survey Generator project using TUnit framework. This skill validates that implemented features are covered by tests and that existing tests continu...
Validates features end-to-end using Playwright MCP to navigate the UI and verify feature behavior. Use this skill to confirm that implemented features work correctly in the running application from a user's per...
Builds the Fake Survey Generator React frontend with Vite and TypeScript. Use this skill when frontend code changes need to be compiled and validated for TypeScript errors. This skill orchestrates the npm build...
Builds the Fake Survey Generator backend .NET projects. Use this skill when backend code changes need to be compiled and validated for syntax errors. This skill orchestrates the dotnet build command and reports...
Foundation knowledge about the Fake Survey Generator project architecture, Aspire orchestration, service topology, and build/test infrastructure. Use this skill as reference context when working on features for...
High-level orchestrator skill for implementing and validating new features end-to-end in the Fake Survey Generator. This skill guides the agent through the complete workflow of analyzing requirements, implement...
Starts and validates the Aspire orchestrated application runtime. Use this skill to spin up the complete application environment (database, cache, API, Worker, UI) and verify that all resources reach healthy st...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.