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Expert Kubernetes specialist mastering container orchestration, cluster management, and cloud-native architectures. Specializes in production-grade deployments, security hardening, and performance optimization with focus on scalability and reliability.
Use when object state must be snapshotted and restored later without exposing internal representation details.
Use when adding or updating a benchmark adapter in the Exgentic repository. Follow the repository benchmark principles, keep the benchmark contract protocol-agnostic, prefer the thinnest possible wrapper that makes the benchmark accessible to any Exgentic agent, reuse external harness assets and scoring where possible, and validate the adapter with representative smoke tests before finishing.
Central authority for Gemini CLI sandboxing and isolation. Covers Docker, Podman, macOS Seatbelt profiles, and security boundaries. Use when enabling sandboxing, choosing sandbox methods, configuring Seatbelt profiles, or troubleshooting sandbox issues. Delegates 100% to gemini-cli-docs for official documentation.
Central authority for Claude-Gemini shared workspace architecture. Defines directory structure, artifact exchange, and file naming conventions. Use when setting up dual-CLI workflows, deciding where to store AI artifacts, or managing cross-CLI file exchange.
arc42 architecture documentation template and guidance
Documentation pipeline automation and docs-as-code workflows
Align with cloud architecture frameworks (Microsoft CAF, AWS Well-Architected). Check alignment with pillars, identify gaps.
Use when designing infrastructure self-service portals, IaC templates, or automated provisioning systems. Covers Terraform modules, Pulumi, environment provisioning, and infrastructure guardrails.
Container and Kubernetes security patterns including Docker hardening, image scanning, pod security standards, network policies, RBAC, secrets management, and runtime protection. Use when securing containerized applications, building secure images, or configuring Kubernetes security controls.
Comprehensive guidance for secure secrets management including storage solutions (Vault, AWS Secrets Manager, Azure Key Vault), environment variables, secret rotation, scanning tools, and CI/CD pipeline security. Use when implementing secrets storage, configuring secret rotation, preventing secret leaks, or reviewing credentials handling.
Comprehensive Terraform infrastructure-as-code skill covering providers, resources, modules, state management, and enterprise patterns for multi-cloud infrastructure
Comprehensive guide to AWS cloud architecture covering compute, storage, databases, networking, security, serverless, and cost optimization with production-ready patterns
Comprehensive AWS cloud services skill covering S3, Lambda, DynamoDB, EC2, RDS, IAM, CloudFormation, and enterprise cloud architecture patterns with AWS SDK
Comprehensive Terraform Infrastructure as Code skill covering resources, modules, state management, workspaces, providers, and advanced patterns for cloud-agnostic infrastructure deployment
Use when designing edge computing architectures, serverless at edge, or distributed compute strategies. Covers edge functions, compute placement decisions, Cloudflare Workers, Lambda@Edge, and edge-native patterns.
Comprehensive observability and monitoring skill covering Prometheus, Grafana, metrics collection, alerting, exporters, PromQL, and production monitoring patterns for distributed systems and cloud-native applications
Container orchestration with Docker Compose for multi-container applications, networking, volumes, and production deployment
Comprehensive guide to Kubernetes container orchestration, covering workloads, networking, storage, security, and production operations
Use when implementing service-to-service security, mTLS, or service mesh patterns. Covers mutual TLS, Istio, Linkerd, certificate management, and service mesh security configurations.
Your approach to handling global conventions. Use this skill when working on files where global conventions comes into play.
Build observability interfaces for multi-agent systems. Use when monitoring multi-agent execution, tracking agent metrics, implementing logging for parallel agents, or debugging agent workflows.
Add console output and logging to make errors visible to agents. Standard out is a critical leverage point - without it, agents cannot see errors or understand application state. Use when agents fail silently, when debugging agentic workflows, or when setting up a new codebase for agentic coding.
