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jnPiyush AI Skills

GitHub ↗

Explorez les skills IA publiés de jnPiyush et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

10

Étoiles des dépôts des skills indexés

0

Forks du dépôt

0

Moyenne des étoiles par skill indexé

0

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

10 skills

Explorer

GitHub

code-organization

jnPiyush

Structure projects for maintainability and scalability with clean architecture, separation of concerns, and consistent project layouts.

GitHub

remote-git-operations

jnPiyush

Best practices for remote Git operations including GitHub, Azure DevOps, pull requests, CI/CD integration, and branch protection rules.

GitHub

version-control

jnPiyush

Effective Git workflows including commit conventions, branching strategies, pull request best practices, and merge conflict resolution.

GitHub

documentation

jnPiyush

Write clear documentation including XML docs, README files, API documentation with OpenAPI/Swagger, and inline code comments.

GitHub

type-safety

jnPiyush

Leverage type systems to catch errors early with nullable reference types, static analysis, and strong typing patterns in C# and TypeScript.

GitHub

scalability

jnPiyush

Design scalable systems with horizontal scaling, load balancing, caching, message queues, and stateless service architecture.

GitHub

core-principles

jnPiyush

Fundamental coding principles for production development including SOLID, DRY, KISS, and common design patterns with C# examples.

GitHub

performance

jnPiyush

Optimize application performance through async patterns, caching strategies, database optimization, profiling, and resource management.

GitHub

error-handling

jnPiyush

Handle failures gracefully with exception handling, logging, retry logic with Polly, and circuit breaker patterns for system resilience.

GitHub

testing

jnPiyush

Production testing strategies including test pyramid (70% unit, 20% integration, 10% e2e), xUnit, FluentAssertions, Moq patterns, and 80%+ coverage requirements.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.