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yonatangross AI Skills

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

Statistiques de l’auteur

Skills indexés

354

Étoiles des dépôts des skills indexés

26,743

Forks du dépôt

2,189

Moyenne des étoiles par skill indexé

76

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

354 skills

Explorer

GitHub

langgraph-state

yonatangross

LangGraph state management patterns. Use when designing workflow state schemas, using TypedDict vs Pydantic, implementing accumulating state with Annotated operators, or managing shared state across nodes.

GitHub

mem0-sync

yonatangross

Auto-sync session context, decisions, and patterns to Mem0 for cross-session continuity. Use when persisting session memory or syncing decisions.

GitHub

grpc-python

yonatangross

gRPC with Python using grpcio and protobuf for high-performance microservice communication. Use when implementing service-to-service APIs, streaming data, or building polyglot microservices requiring strong typ...

GitHub

system-design-interrogation

yonatangross

Use when planning system architecture to ensure nothing is missed. Provides structured questions covering scalability, security, data, and operational dimensions before implementation.

GitHub

contract-testing

yonatangross

Consumer-driven contract testing with Pact for API compatibility. Use when testing microservice integrations, verifying API contracts, preventing breaking changes, or implementing provider verification.

GitHub

saga-patterns

yonatangross

Saga patterns for distributed transactions with orchestration and choreography approaches. Use when implementing multi-service transactions, handling partial failures, or building systems requiring eventual con...

GitHub

cqrs-patterns

yonatangross

CQRS (Command Query Responsibility Segregation) patterns for separating read and write models. Use when optimizing read-heavy systems, implementing event sourcing, or building systems with different read/write...

GitHub

multi-agent-orchestration

yonatangross

Multi-agent coordination and synthesis patterns. Use when orchestrating multiple specialized agents, implementing fan-out/fan-in workflows, or synthesizing outputs from parallel agents.

GitHub

architecture-decision-record

yonatangross

Use this skill when documenting significant architectural decisions. Provides ADR templates following the Nygard format with sections for context, decision, consequences, and alternatives. Use when writing ADRs...

GitHub

idempotency-patterns

yonatangross

Idempotency patterns for APIs and event handlers. Use when implementing exactly-once semantics, deduplicating requests, or building reliable distributed systems.

GitHub

clean-architecture

yonatangross

SOLID principles, hexagonal architecture, ports and adapters, and DDD tactical patterns for maintainable backends. Use when implementing clean architecture, decoupling services, separating domain logic, or crea...

GitHub

domain-driven-design

yonatangross

Domain-Driven Design tactical patterns for complex business domains. Use when modeling entities, value objects, domain services, repositories, or establishing bounded contexts.

GitHub

outbox-pattern

yonatangross

Transactional outbox pattern for reliable event publishing. Use when implementing atomic writes with event delivery, ensuring exactly-once semantics, or building event-driven microservices.

GitHub

celery-advanced

yonatangross

Advanced Celery patterns including canvas workflows, priority queues, rate limiting, multi-queue routing, and production monitoring. Use when implementing complex task orchestration, task prioritization, or ent...

GitHub

aggregate-patterns

yonatangross

DDD aggregate design patterns for consistency boundaries and invariants. Use when designing aggregate roots, enforcing business invariants, handling cross-aggregate references, or optimizing aggregate size.

GitHub

resilience-patterns

yonatangross

Production-grade fault tolerance for distributed systems. Use when implementing circuit breakers, retry with exponential backoff, bulkhead isolation patterns, or building resilience into LLM API integrations.

GitHub

message-queues

yonatangross

Message queue patterns with RabbitMQ, Redis Streams, and Kafka. Use when implementing async communication, pub/sub systems, event-driven microservices, or reliable message delivery.

GitHub

asyncio-advanced

yonatangross

Python asyncio patterns with TaskGroup, structured concurrency, and modern 3.11+ features. Use when implementing concurrent operations, async context managers, or high-performance async services.

GitHub

edge-computing-patterns

yonatangross

Use when deploying to Cloudflare Workers, Vercel Edge, or Deno Deploy. Covers edge middleware, streaming, runtime constraints, and globally distributed low-latency patterns.

GitHub

streaming-api-patterns

yonatangross

Real-time data streaming with SSE, WebSockets, and ReadableStream. Use when implementing streaming responses, real-time data updates, Server-Sent Events, WebSocket setup, live notifications, push updates, or ch...

GitHub

motion-animation-patterns

yonatangross

Use this skill for implementing Motion (Framer Motion) animations in React applications. Covers animation presets, page transitions, modal animations, list stagger effects, hover interactions, skeleton loaders,...

GitHub

view-transitions

yonatangross

View Transitions API for smooth page transitions, shared element animations, and SPA/MPA navigation in React applications. Use when adding view transitions or page animations.

GitHub

fastapi-advanced

yonatangross

FastAPI 2026 advanced patterns including lifespan, dependencies, middleware, and Pydantic settings. Use when configuring FastAPI lifespan events, creating dependency injection, building Starlette middleware, or...

GitHub

type-safety-validation

yonatangross

End-to-end type safety with Zod, tRPC, Prisma, and TypeScript 5.7+ patterns. Use when creating Zod schemas, setting up tRPC, validating input, implementing exhaustive switch statements, branded types, or type c...

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.