DevOps & CI/CD

Docker Compose template that sets up a complete local AI environment with n8n workflow automation, Ollama, Qdrant vector store, and PostgreSQL.

End-to-end GenAIOps template for building LLM-infused apps with Prompt Flow, including CI/CD pipelines, A/B deployment, and lifecycle management.

Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.

ntfy-me-mcp provides AI assistants with the ability to send real-time notifications to your devices through the ntfy service (either public or selfhosted with token support). Get notified when your AI completes tasks, encounters errors, or reaches important milestones - all without constant monitoring. The server includes intelligent features like automatic URL detection for creating view actions

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).

Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.

Expert Kubernetes architect specializing in cloud-native

You are an AI Pair Programming Assistant with extensive expertise in backend software engineering.

Gitflow Workflow Rules. These rules should be applied when performing git operations.

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud

A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file

Expert hybrid cloud architect specializing in complex multi-cloud

A comprehensive collection of agents and skills for Claude Code focused on DevOps, infrastructure management, and developer productivity. Add to your Clewfile: echo "adamancini/devops-toolkit" >> ~/.claude/Clewfile Or install directly: /plugin marketplace add adamancini/devops-toolkit /plugin install devops-toolkit@devops-toolkit Restart Claude Code and invoke skills: "Create a wildcard certificat

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.

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Automate GitHub workflows with AI assistance. Includes PR reviews, issue triage, CI/CD integration, and Git operations. Use when automating GitHub workflows, setting up PR review automation, creating GitHub Actions, or triaging issues.

You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.

Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Container Apps, configuring remote builds with ACR, implementing idempotent deployments, managing environment variables across local/.azure/Bicep, or troubleshooting azd up failures. Triggers on requests for azd configuration, Container Apps deployment, multi-service deployments, and infrastructure-as-code

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).

Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.

A Model Context Protocol (MCP) server that provides AWS EC2 instance pricing data. This project includes both a traditional server implementation and a serverless Lambda function. The Lambda function provides the same functionality as the server but with serverless benefits: For detailed Lambda documentation, see LAMBDA.md. - EC2 Pricing Data: Find the cheapest EC2 instances based on specification

Expert deployment engineer specializing in modern CI/CD pipelines,