What is Infrastructure Archaeology for Claude Code?

It is a specialized skill that helps Claude systematically investigate and document cloud resources left by previous engineers, particularly in sparse or post-merger environments.

Does this skill access sensitive data or secrets?

The skill focuses on resource configuration and metadata; the framework explicitly instructs the AI to never print or store secret values during the investigation process.

Can it generate architectural documentation?

Yes, it is designed to create standardized records using commands like /infra-doc for factual states and /adr for capturing inferred decision rationales.

How does it help with Kubernetes migrations?

It provides detailed patterns for kOps-managed clusters, helping identify state store configurations and resource drift before migrating to services like EKS.

Does this skill support multi-cloud environments?

Yes, it includes specific investigation patterns and heuristics for AWS, Microsoft Azure, and Kubernetes clusters.

Infrastructure Archaeology

Name: Infrastructure Archaeology
Author: simplycycling

bysimplycycling

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Infraestructura en la Nube

Investigates, interprets, and documents legacy or inherited infrastructure to uncover design intent and identify technical debt.

Infrastructure Archaeology is a specialized skill designed for DevOps engineers and SREs who need to make sense of undocumented or inherited cloud environments. It provides a systematic framework for reverse-engineering infrastructure decisions across AWS, Azure, and Kubernetes, specifically focusing on identifying legacy artifacts from company mergers. By working from evidence to hypothesis, this skill helps users map resource relationships, decipher naming patterns, and create standardized documentation—such as ADRs and infra-docs—for complex, 'archaeological' cloud setups where original context is missing.

Características Principales

01Database forensic patterns for RDS Postgres, MSSQL, and Redshift configurations.

02Systematic four-layer investigation framework for AWS, Azure, and Kubernetes environments.

03Identification of merger-related artifacts like overlapping CIDRs and redundant resources.

040 GitHub stars

05Specialized kOps-to-EKS migration analysis and state store verification.

06Automated documentation generation for infrastructure logs and architecture decision records.

Casos de Uso

01Onboarding onto a legacy cloud environment with zero existing documentation or context.

02Preparing a kOps-managed Kubernetes cluster for migration to Amazon EKS by identifying drift.

03Untangling overlapping resources and networking during a company merger or acquisition.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add simplycycling/dotfiles infra-archaeology

For use in Claude.ai and ChatGPT

Características Principales

01Database forensic patterns for RDS Postgres, MSSQL, and Redshift configurations.

02Systematic four-layer investigation framework for AWS, Azure, and Kubernetes environments.

03Identification of merger-related artifacts like overlapping CIDRs and redundant resources.

040 GitHub stars

05Specialized kOps-to-EKS migration analysis and state store verification.

06Automated documentation generation for infrastructure logs and architecture decision records.

Casos de Uso

01Onboarding onto a legacy cloud environment with zero existing documentation or context.

02Preparing a kOps-managed Kubernetes cluster for migration to Amazon EKS by identifying drift.

03Untangling overlapping resources and networking during a company merger or acquisition.