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Found 13 Skills
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
Infrastructure as Code using Terraform with modular components, state management, and multi-cloud deployments. Use for provisioning and managing cloud resources.
Build Azure managed images and Azure Compute Gallery images with Packer. Use when creating custom images for Azure VMs.
dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.
Specialized Terraform task execution skill for autonomous infrastructure operations. Handles code generation, debugging, version management (1.10-1.14+), security scanning, and architecture design across all providers (AWS 6.0, AzureRM 4.x, GCP) and platforms. Covers ephemeral values, Terraform Stacks, policy-as-code, and 2025 best practices.
Terraform infrastructure as code with providers and state management. Use for cloud provisioning.
Scaffolds new Terraform modules with standardized structure including main.tf, variables.tf, outputs.tf, versions.tf, and README.md. This skill should be used when users want to create a new Terraform module, set up module structure, or need templates for common infrastructure patterns like VPC, ECS, S3, or RDS modules.
Pulumi integration. Manage data, records, and automate workflows. Use when the user wants to interact with Pulumi data.
Use Crabbox for OpenClaw remote Linux validation, warmed reusable boxes, GitHub Actions hydration, sync timing, logs, results, caches, and lease cleanup.
Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.
Terraform infrastructure as code workflow for provisioning cloud resources, creating reusable modules, and managing infrastructure at scale.
Provision GCP infrastructure with Terraform. Configure providers and deploy Google Cloud resources. Use when implementing IaC for GCP.