Browse published AI skills maintained by v4lheru. 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.
TEST PHASE: Testing strategies, patterns, and quality assurance workflows. Provides test strategy frameworks, coverage guidelines, unit/integration/e2e patterns, performance testing approaches, and security te...
CODE PHASE (Frontend): Client-side implementation patterns and best practices. Provides component architecture patterns, state management strategies, accessibility guidelines, performance optimization, and res...
ARCHITECT PHASE: Architectural design patterns, component templates, and system design guidance. Provides proven architectural patterns including microservices, layered architecture, event-driven systems, C4 d...
CODE PHASE (Database): Data layer implementation patterns and best practices. Provides schema design patterns, query optimization strategies, indexing guidelines, data integrity constraints, migration patterns...
CROSS-CUTTING: API contract design patterns for architects and implementers. Provides REST API design patterns, GraphQL schema design, API versioning strategies, error response formats, pagination patterns, an...
CODE PHASE (Backend): Server-side implementation patterns and best practices. Provides service layer patterns, API implementation guidance, error handling strategies, data validation approaches, middleware pat...
CROSS-CUTTING: Security patterns and best practices for ALL PACT phases. Provides OWASP Top 10 guidance, authentication/authorization patterns, input validation, secure coding practices, secrets management, an...
PREPARE PHASE: Research methodologies and documentation gathering workflows. Provides systematic research approaches, source evaluation criteria, documentation templates, API exploration techniques, and techno...
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.