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infrastructure

Infrastructure-as-Code specialist for Terraform, AWS, Azure, and serverless architectures. Use when setting up cloud infrastructure, writing Terraform modules, or deploying to AWS Lambda/Vercel/Cloudflare. Covers VPC configuration, container orchestration, and CI/CD pipeline infrastructure.

Why use this skill?

Automate your cloud infrastructure with the OpenClaw Infrastructure skill. Deploy production-ready Terraform for AWS, Azure, and serverless environments.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/anton-abyzov/sw-infrastructure
Or

What This Skill Does

The Infrastructure skill is a specialized OpenClaw agent capability designed to act as your Infrastructure-as-Code (IaC) partner. It automates the provisioning, management, and scaling of cloud resources using Terraform. Rather than manual configuration, this skill follows a strict modular architecture, breaking down complex cloud environments into distinct, manageable layers: Compute, Database, Storage, Networking, Monitoring, and CI/CD. It is built to enforce security best practices by default, ensuring that every deployment adheres to the principle of least privilege, utilizes encrypted connections, and implements production-grade monitoring through CloudWatch. Whether you are bootstrapping a new serverless backend on AWS Lambda, setting up multi-region Azure Functions, or deploying high-scale PostgreSQL databases on Supabase, this skill manages the lifecycle of your infrastructure while ensuring compliance with your predefined environmental configurations (dev, staging, prod).

Installation

To integrate this capability into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/anton-abyzov/sw-infrastructure Ensure your local environment contains the necessary CLI tools (AWS CLI, Terraform, Wrangler, etc.) so that the agent can perform its auto-execution tasks.

Use Cases

  • Rapid Cloud Bootstrapping: Automatically provision VPCs, subnets, and security groups according to your organization's compliance standards.
  • Serverless Backend Scaling: Define and deploy AWS Lambda functions and API Gateways with associated IAM roles that restrict access to the bare minimum required.
  • CI/CD Pipeline Automation: Architect automated deployment pipelines that integrate with your git repositories for frictionless deployments.
  • Environment Lifecycle Management: Seamlessly switch between dev, staging, and prod configurations using optimized .tfvars files that balance cost, redundancy, and log retention requirements.

Example Prompts

  1. "I need to set up a new production-ready serverless environment on AWS. Please start with the networking layer including a VPC and private subnets."
  2. "Generate the Terraform configuration for a secure S3 bucket that encrypts data at rest and only allows access from my specific Lambda execution role."
  3. "Help me migrate my staging infrastructure from AWS Lambda to a Vercel-based serverless setup, keeping the existing DynamoDB backend."

Tips & Limitations

  • Chunking is mandatory: The skill is optimized to output one layer at a time. Do not attempt to provision an entire architecture in a single response to maintain high code quality.
  • Credential Security: Always ensure your environment variables are configured correctly. The agent will automatically detect your local cloud credentials and execute commands only when authorized.
  • Security Over Convenience: The skill strictly avoids wildcards in IAM policies. If your deployment fails, verify if your resource naming conventions align with the strict IAM policies being generated.

Metadata

Stars1054
Views1
Updated2026-02-16
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-anton-abyzov-sw-infrastructure": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#infrastructure#terraform#devops#cloud#serverless
Safety Score: 3/5

Flags: file-read, file-write, external-api, code-execution