Explorez les skills IA publiés de Hamza123545 et consultez leurs instructions source.
Skills indexés
9Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Execute approved external actions via MCP servers in the Personal AI Employee system. This skill should be used when files appear in the /Approved folder (moved there by human after reviewing approval requests)...
Process and analyze action items discovered by watchers in the Personal AI Employee system. This skill should be used when new files appear in the Obsidian vault's /Needs_Action folder (created by Gmail watcher...
Dapr (Distributed Application Runtime) integration patterns for microservices. Covers Pub/Sub, State Store, Jobs API, Secrets Management, and Service Invocation with HTTP APIs. Full Dapr implementation with all...
Microservices architecture patterns for event-driven systems. Covers service-to-service communication, idempotency, user isolation, event-driven design, and service discovery.
Event-driven architecture patterns with Apache Kafka. Covers event schemas, producer/consumer patterns, partitioning strategies, dead letter queues, and retry mechanisms. Works with Dapr Pub/Sub abstraction.
Build AI agents with OpenAI Agents SDK + Model Context Protocol (MCP) for tool orchestration. Supports multi-provider backends (OpenAI, Gemini, Groq, OpenRouter) with MCPServerStdio. Use this skill for conversa...
RRULE pattern parsing and next occurrence calculation for recurring tasks. Uses python-dateutil for RFC 5545 RRULE support, simplified patterns (daily, weekly, monthly, yearly), and UTC-only time handling.
Infrastructure as Code with Terraform for cloud Kubernetes clusters. Covers OKE (Oracle), AKS (Azure), GKE (Google) provisioning, multi-cloud patterns, and state management.
Kubernetes deployment patterns with Helm charts. Covers deployments, services, ConfigMaps, Secrets, Dapr sidecar injection, health probes, and resource management.
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.