Can I use remote Packer templates with this skill?

Yes, Atmos supports JIT (Just-In-Time) vendoring, allowing you to define template sources in your stack configuration and automatically download them during execution.

How does Atmos improve the standard Packer workflow?

Atmos removes the need to manually manage variable files and environment configurations by automatically resolving them from hierarchical stack manifests, ensuring your build configurations remain DRY.

What is the purpose of the 'atmos packer output' command?

This Atmos-specific command allows you to retrieve and parse Packer manifest data using YQ expressions, making it easy to extract values like Artifact IDs for downstream tasks.

Does it support complex inheritance for image configurations?

Absolutely. You can define base configurations in a catalog and override specific variables or versions for different environments using Atmos stack inheritance.

Atmos Packer Orchestration

Name: Atmos Packer Orchestration
Author: cloudposse

bycloudposse

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1,293

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Infraestructura en la Nube

Orchestrates Packer machine image builds using Atmos stack-aware configurations and hierarchical inheritance.

The Atmos Packer skill provides a streamlined interface for managing machine images by wrapping the Packer CLI with powerful stack-based orchestration. It eliminates manual variable management by automatically resolving complex configurations from hierarchical YAML manifests and handles just-in-time (JIT) component vendoring. This skill is ideal for DevOps engineers who need to maintain DRY (Don't Repeat Yourself) infrastructure configurations while automating image building across multiple cloud environments, providing seamless integration between stack definitions and Packer templates.

Características Principales

01Path-based component resolution for flexible filesystem workflows

02Automated environment variable injection and template path resolution

03Stack-aware variable generation with hierarchical deep-merging

04Advanced manifest output parsing with integrated YQ expression support

051,293 GitHub stars

06Just-in-time (JIT) component vendoring from Git, S3, OCI, and HTTP sources

Casos de Uso

01Automating the provisioning of remote Packer templates for local or CI/CD execution

02Standardizing machine image builds across dev, staging, and production environments

03Managing cross-account AMI creation using centralized stack configurations

Características Principales

01Path-based component resolution for flexible filesystem workflows

02Automated environment variable injection and template path resolution

03Stack-aware variable generation with hierarchical deep-merging

04Advanced manifest output parsing with integrated YQ expression support

051,293 GitHub stars

06Just-in-time (JIT) component vendoring from Git, S3, OCI, and HTTP sources

Casos de Uso

01Automating the provisioning of remote Packer templates for local or CI/CD execution

02Standardizing machine image builds across dev, staging, and production environments

03Managing cross-account AMI creation using centralized stack configurations