kubernetes-aiops-engineer
Expert in managing Kubernetes clusters using kubectl-ai and kagent. Use this for generating Helm charts, troubleshooting pods, and automating cluster operations.
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Expert in managing Kubernetes clusters using kubectl-ai and kagent. Use this for generating Helm charts, troubleshooting pods, and automating cluster operations.
Expert in securing FastAPI applications with JWT tokens and Better Auth. Use this when implementing authentication middleware, route protection, and user isolation.
Expert in building MCP servers using the Official Python MCP SDK. Use this when defining tools, resources, and prompts that allow AI agents to manage application state.
Expert in codebase archaeology and documentation retrieval. Use this when starting new project phases, refactoring large modules, or integrating new frameworks.
Expert in building distributed systems using Dapr. Use this for implementing pub/sub, state management, jobs, and secrets abstraction.
Expert in the Spec-Kit Plus lifecycle (Specify -> Plan -> Tasks -> Implement). Use this when the user needs to define new features, plan architecture, or decompose work into atomic units.
Expert in designing SQLModel schemas and managing Neon PostgreSQL databases. Use this when defining data models, handling relationships, or performing database migrations.
Expert in event-driven architecture using Kafka. Use this for designing topics, schemas, and processing logic for asynchronous tasks.
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.