Browse published AI skills maintained by hafiznaveedchuhan-ctrl. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
8Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Use when building FastAPI applications with SQLModel for database models, CRUD operations, and full-stack data management. Also use for implementing relationships, migrations, async queries, and type-safe datab...
Build and deploy enterprise-grade microservices architectures with production-ready patterns, comprehensive observability, advanced security, and operational excellence. Use when: (1) designing multi-service ar...
Complete stenography guide for court reporting and legal transcription. Use when building steno projects from basic to professional level, learning court reporting workflows, optimizing legal dictionaries, sett...
Use when creating FastAPI web applications, REST APIs, microservices, or backend services in Python. Also use for implementing FastAPI features like authentication, validation, async endpoints, dependency injec...
Use when writing unit tests, integration tests, or end-to-end tests in Python. Also use for implementing test fixtures, mocking, parametrization, async testing, or coverage analysis. NOT when using other testin...
Use when building task management applications with CRUD operations for tasks, priorities, and status tracking. Also use for implementing task filtering, sorting, completion tracking, and simple task workflows....
Use when designing FastAPI CRUD operations with validation and error handling, architecting microservices with service boundaries and contracts, implementing event streaming with Kafka, configuring DAPR for dis...
Use when building or refactoring React/Next.js UI components, creating responsive layouts with Tailwind CSS, designing with shadcn/ui or Chakra UI, converting Figma designs to code, building Docusaurus document...
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.