What problem does it solve?
Building and maintaining custom AMIs and container images manually is error-prone and hard to keep patched. This Skill guides AI agents through the full EC2 Image Builder workflow — IAM roles, components, recipes, pipelines, distribution, and troubleshooting — so image builds are automated, repeatable, and correctly configured.
Core Features & Use Cases
- End-to-end image creation: Build Linux, Windows, and macOS AMIs or Docker container images to ECR, from the build IAM role through recipes and infrastructure configuration.
- Golden AMI automation: Set up recurring scheduled pipelines that pick up base-image updates and patches, with launch template and SSM parameter distribution so Auto Scaling groups roll onto new AMIs automatically.
- Build failure diagnosis: Troubleshoot failed builds using stage-aware failure mapping, CloudWatch log analysis, and live debugging on kept build instances.
- Use Case: A platform team needs a hardened Amazon Linux 2023 golden AMI rebuilt weekly with the latest patches and published to a launch template. The Skill walks through creating the build role, recipe with Amazon-managed components, and a scheduled pipeline with distribution — no manual AMI updates needed.
Quick Start
Ask the agent to create an EC2 Image Builder pipeline that builds a patched Amazon Linux 2023 AMI every week and updates your launch template.