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Deploys applications to cloud Kubernetes (AKS/GKE/DOKS) via CI/CD pipelines, managing build/runtime variables and deployment troubleshooting.

Enables interactive widget actions and bidirectional communication for AI-driven UIs, supporting buttons, forms, entity tagging, and full widget lifecycle management.

Enables AI agents to persist state, maintain entity consistency, and reason over structured knowledge via custom memory architectures.

Kubernetes-native framework for deploying, managing, and analyzing clusters using AI agents to enable AIOps and automated infrastructure operations.

Quick reference guide for Kubernetes core concepts and essential kubectl commands to manage cluster operations like pods, deployments, and services.

Generates and manages Helm charts for Kubernetes application deployments, including chart structure, templating, and dependencies.

Automates browser interactions including navigation, form filling, data extraction, and UI testing using Playwright for dynamic web tasks.

Enables building AI chat interfaces with custom backends, authentication, and context injection for agent integration.

Guides developers in building ChatGPT custom applications with interactive widgets using OpenAI Apps SDK and MCP servers, including widget architecture and Developer Mode setup.

Provides SRE patterns for production service reliability including SLOs, error budgets, postmortems, and incident response practices.

Scaffolds production-grade FastAPI backends with SQLModel, Dapr event-driven microservices, and JWT authentication for REST APIs and CRUD endpoints.

Builds Next.js 16 applications with correct patterns, covering pages, layouts, dynamic routes, and frontend aesthetics while addressing breaking changes.

Creates and edits Excel spreadsheets with formulas, formatting, and financial modeling standards for data analysis.

Guides building Next.js 16 applications with correct patterns for pages, layouts, dynamic routes, and migration from Next.js 15.

Systematically debug production Kubernetes issues including 500 errors, service integrations, and microservice tracing via log analysis and request tracing.

Configures OAuth 2.1 and OIDC authentication with Better Auth, supporting SSO providers, Next.js clients, PKCE, and JWKS token verification.

Guides creation of Model Context Protocol (MCP) servers enabling LLMs to interact with external APIs/services via Python (FastMCP) or Node/TypeScript (MCP SDK).

Structured debugging methodology emphasizing root cause analysis, pattern recognition, and hypothesis testing before implementing fixes.

Generates infrastructure blueprints for deployment (e.g., Docker, Kubernetes, CI/CD) with enforced impact analysis for containerization, network topology, and auth requirements.

Guides development of MCP servers for LLMs to interact with external services, including tool design, authentication, and Docker deployment in Python (FastMCP) or Node.js (MCP SDK).

Enables local Kubernetes cluster management using Minikube for development, testing, and debugging of containerized applications.

Installs Claude Code hooks for automatic skill usage measurement, enabling tracking infrastructure setup in new projects.

Diagnoses and resolves common Kubernetes deployment issues in Azure Kubernetes Service (AKS), including ImagePullBackOff and CrashLoopBackOff errors.

Enables real-time streaming UI patterns for AI chat applications with lifecycle event handling and progress indicators.