Building production Kubernetes infrastructure is complex and error-prone. This skill provides expert guidance on cluster architecture, GitOps workflows, and enterprise security patterns to accelerate your platform engineering.

Secure your Kubernetes clusters with production-ready network policies, RBAC configurations, and pod security standards. This skill provides comprehensive templates and best practices for defense-in-depth security.

Creating secure Kubernetes manifests manually is error-prone and time-consuming. This skill provides templates and best practices for Deployments, Services, ConfigMaps, and Secrets that follow cloud-native standards.

Pull request fixes often require multiple iterations due to CI failures and review feedback. This skill automates the entire feedback-fix-push-wait cycle so you can focus on writing code while it handles checking status, gathering feedback, and pushing fixes.

Simplify Istio service mesh configuration with production-ready templates for routing, canary deployments, circuit breakers, and traffic shifting. Eliminate trial-and-error with proven patterns.

Creating reliable background processing without managing infrastructure is challenging. This skill helps you build durable, event-driven workflows using Inngest serverless functions.

Quickly build comprehensive incident response runbooks with proven templates. Reduce incident resolution time by providing step-by-step procedures for detection, triage, mitigation, and communication.

Production incidents require coordinated investigation across multiple systems and domains. This workflow orchestrates specialized AI agents through a proven five-phase pipeline to diagnose root causes, implement fixes, and prevent recurrence.

This skill provides a structured multi-phase incident response workflow for AI agents, enabling rapid detection, investigation, resolution, and postmortem documentation following modern SRE principles.

Design and implement secure hybrid cloud networks connecting your datacenter to AWS, Azure, and GCP. This skill provides proven architecture patterns, Infrastructure as Code templates, and best practices for production-ready connectivity.

Get expert guidance for designing, implementing, and managing complex hybrid cloud environments across AWS, Azure, GCP, and private clouds. This skill provides comprehensive support for hybrid connectivity, workload placement, compliance, and cost optimization.

Run GPU/TPU workloads without local hardware setup. Submit Python scripts to managed Hugging Face Jobs infrastructure with secure token authentication.

Working with AI models and datasets on Hugging Face Hub requires multiple tools and manual steps. This skill streamlines the workflow by providing direct CLI access to download, upload, and manage ML resources through unified commands.

Streamline container-based AI agent deployment on Azure using the official Projects SDK. Automate provisioning, scaling, and management of custom agent environments without manual infrastructure configuration.

Monitoring complex systems requires clear visualization of metrics. This skill helps you create production-ready Grafana dashboards that provide actionable insights into infrastructure and application performance.

Streamline your git workflow by automating staging, conventional commits, and pushing with upstream tracking. Eliminate repetitive git commands with a single skill invocation.

Manual GitLab CI pipeline creation is time-consuming and error-prone. This skill provides proven patterns for multi-stage workflows, caching strategies, and deployment automation.

Streamline your git workflow from code review to pull request creation. This skill coordinates specialized AI agents to ensure code quality, run tests, generate conventional commits, and create well-documented PRs.

Managing Kubernetes deployments manually leads to configuration drift and inconsistent environments. This skill enables automated, declarative deployments using Git as the single source of truth with continuous reconciliation.

Streamline your development workflow by integrating AI into GitHub Actions. This skill provides ready-to-use patterns for automated PR reviews, intelligent issue triage, and CI/CD optimization.