Hashicorp just launched Terraform Skills These skills let AI assistants do more than just generate random HCL. They encode real Terraform knowledge and best practices, so agents can behave much closer to how an experienced Terraform engineer would. What you can do with them: Terraform code generation - Generate Terraform HCL that follows HashiCorp’s style conventions - Write and run .tftest.hcl tests - Build modules aligned with Azure Verified Modules (AVM) requirements Terraform module generation - Refactor large, monolithic Terraform configs into reusable modules - Manage multi-region and multi-environment setups using Terraform Stacks Terraform provider development - Scaffold a new Terraform provider - Implement resources, data sources, and lifecycle actions - Run and debug provider acceptance tests Why this matters:This moves Terraform closer to agentic workflows where AI is not just suggesting code, but actually understanding structure, correctness, and workflows. It lowers the friction for building and maintaining modules and providers, and it’s a strong signal of where IaC + AI is heading. If you’re thinking about AI-native DevOps, AgenticOps, or smarter IaC tooling, this is worth paying attention to. Check out the repo here : https://github.com/hashicorp/agent-skills.git comment below what questions do you have or what is it that you would like to learn about these skills.

I just built a Telegram bot which connects with my kubernetes cluster and helps me manage this from telegram. While building this, I realized, Clawdbot is super powerful. However you need to add safe execution layer to it else it can get out of control. Thats why I have created a safe execution engine along with a set of skills which can help you convert Clawdbot into your personal devops concierge. Comment if you want to build your own Devops Agents and talk to it from WhatsApp/Telegram. Skills with Devops Execution Engine : https://github.com/agenticdevops/devops-execution-engine