Drawio Agent Skill

The Draw.io MCP Diagramming Agent Skill provides a reusable working method for creating clear, editable diagrams with Draw.io MCP. It supports cloud architectures, network topologies, CI/CD pipelines, Kubernetes platforms, event-driven systems, C4, UML and more, while applying consistent guidance for layout, containment, connector routing, labels and validation.

Securing AI skill repositories with Nvidia SkillSpector and GitHub Actions

Agent skills, custom instructions, and MCP configuration are becoming part of the engineering trust boundary. This post walks through using NVIDIA SkillSpector in GitHub Actions to scan AI skill repositories, surface findings in SARIF or PR comments, and make risky agent behaviour visible during normal review.

AI Engineering Needs Platform Controls

AI-assisted engineering is moving beyond “can the agent do the task?” and into the same practical concerns platform teams already deal with: cost visibility, ownership, observability, governance, repeatable workflows, and sensible defaults.

This post looks at why AI engineering needs boring platform controls, from APIM policies and token visibility through to Agent Skills, MCP, Terraform modules, OpenTelemetry, and evaluation loops.

Terraform Module Design Is the Hard Part – So I Built an Agent Skill for It

Building Terraform modules is rarely the hard part. The harder part is deciding whether a module should exist at all, where the boundary should sit, how much of the provider surface to expose, and which platform defaults should be opinionated rather than endlessly configurable. In this post, I walk through why I built a terraform-module-creator GitHub Copilot skill to help with that design work up front, using live Azure MCP and HashiCorp MCP guidance to shape better module boundaries, interfaces, documentation, validation, and long-term supportability.

Creating Diagrams with an Excalidraw Agent Skill and Excalidraw MCP

Learn how an Excalidraw Agent Skill powered by Excalidraw MCP in GitHub Copilot can generate Cloud, Terraform, and workflow diagrams from natural language prompts.

Automating Terraform provider upgrades with GitHub Agentic Workflows

Terraform provider upgrades often turn into a manual research exercise. You check the registry, read changelogs, scan the codebase for deprecated resources, update the provider version, add moved blocks, run a plan, and hope nothing breaks. Using GitHub Agentic Workflows, a Terraform MCP server, and reusable agents and skills, much of that preparation can be … Read more

Docker MCP Toolkit: Hassle-Free Local Agentic AI with MCP Servers

Unlock hassle-free local agentic AI with Docker MCP Toolkit. Simplify MCP server setup and increase productivity today. Discover how in our latest guide.