What automation tools does this skill support?

This skill provides specific patterns and implementation guides for GitHub Actions, Argo Events, Argo Workflows, and Kubernetes operators.

How does the 'patterns' skill improve workflow reliability?

It enforces battle-tested strategies like idempotency, prerequisite checks, and 'fail fast' logic to prevent partial execution states and unnecessary resource consumption.

What is the Three-Stage Design pattern mentioned in the skill?

It is a robust workflow structure consisting of Discovery (finding items), Execution (parallel processing), and Summary (reporting results) to handle automation at scale.

Can this skill help reduce CI/CD costs?

Yes, by implementing 'Work Avoidance' patterns such as content hashing and existence checks, it ensures that expensive automation tasks only run when necessary.

Does it include help for migrating legacy systems?

Yes, it includes implementation details for the Strangler Fig pattern, allowing you to incrementally replace legacy systems with minimal risk.

Automation Patterns

Name: Automation Patterns
Author: adaptive-enforcement-lab

byadaptive-enforcement-lab

Deployment & DevOps

Implements resilient, scalable, and idempotent automation patterns for GitHub Actions, Argo, and Kubernetes environments.

About

This skill provides a comprehensive library of battle-tested architecture and efficiency patterns designed to reduce operational toil and prevent common failure modes in large-scale automation. It equips Claude with the expertise to implement complex structures like Hub-and-Spoke and Three-Stage designs while ensuring workflows remain idempotent and resilient. Whether you are building event-driven systems with Argo or optimizing GitHub Actions for multi-repo distribution, these patterns offer proven solutions for cross-cutting concerns like error handling, work avoidance, and environment progression.

Key Features

0 GitHub stars
Advanced architecture patterns including Hub-and-Spoke and Strangler Fig
Resilient error handling via Fail Fast and prerequisite validation
Anti-pattern detection to prevent duplicate work and late error detection
Efficiency optimizations like idempotency and content-based work avoidance
Specific implementation guides for GitHub Actions and Argo ecosystems

Use Cases

Refactoring legacy CI/CD pipelines into modular, idempotent stages to reduce failure rates
Building complex, parallelized orchestration workflows with Argo Workflows and Events
Designing cross-repository configuration distribution using Hub-and-Spoke patterns

About

Key Features

0 GitHub stars
Advanced architecture patterns including Hub-and-Spoke and Strangler Fig
Resilient error handling via Fail Fast and prerequisite validation
Anti-pattern detection to prevent duplicate work and late error detection
Efficiency optimizations like idempotency and content-based work avoidance
Specific implementation guides for GitHub Actions and Argo ecosystems

Use Cases

Refactoring legacy CI/CD pipelines into modular, idempotent stages to reduce failure rates
Building complex, parallelized orchestration workflows with Argo Workflows and Events
Designing cross-repository configuration distribution using Hub-and-Spoke patterns