What cloud platforms are supported?

The skill provides specialized investigation patterns for AWS, Microsoft Azure, and Kubernetes (including EKS and kOps).

What kind of documentation does it generate?

It produces standardized 'infra-docs' for factual resource records and 'ADRs' (Architectural Decision Records) to document the inferred rationale behind legacy setups.

How does this skill handle undocumented resources?

It uses an evidence-based framework to infer intent from configuration patterns, resource relationships, and timing, while clearly labeling inferred content to maintain documentation integrity.

Can this skill help with Kubernetes migrations?

Yes, it specifically includes patterns for investigating kOps-managed clusters to identify drift and configurations that must be addressed before moving to EKS.

Infrastructure Archaeology

Name: Infrastructure Archaeology
Author: simplycycling

bysimplycycling

0•

云基础设施

Investigates, interprets, and documents legacy cloud infrastructure to reveal the intent and risks behind inherited configurations.

Infrastructure Archaeology is a specialized skill for engineers navigating context-sparse cloud environments, particularly during company mergers or handovers. It provides a structured framework to map out AWS, Azure, and Kubernetes resources, reverse-engineering technical decisions from evidence like naming patterns, CIDR blocks, and CloudTrail logs. By systematically separating factual observations from inferred intent, it transforms undocumented 'black box' infrastructure into transparent, well-documented assets ready for migration or modernization.

主要功能

01Evidence-to-hypothesis framework for reverse-engineering legacy decisions

02Standardized tagging system for identifying technical debt and merge artifacts

03Automated documentation generation for infrastructure (infra-doc) and rationale (ADR)

04Specialized kOps-managed cluster assessment for EKS migration readiness

05Multi-cloud investigation patterns for AWS, Azure, and Kubernetes environments

060 GitHub stars

使用场景

01Mapping out undocumented Kubernetes clusters to identify drift and technical debt

02Reverse-engineering the reasoning behind specific legacy security group or networking rules

03Untangling and documenting infrastructure inherited during a company merger

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add simplycycling/dotfiles infra-archaeology

For use in Claude.ai and ChatGPT

主要功能

01Evidence-to-hypothesis framework for reverse-engineering legacy decisions

02Standardized tagging system for identifying technical debt and merge artifacts

03Automated documentation generation for infrastructure (infra-doc) and rationale (ADR)

04Specialized kOps-managed cluster assessment for EKS migration readiness

05Multi-cloud investigation patterns for AWS, Azure, and Kubernetes environments

060 GitHub stars

使用场景

01Mapping out undocumented Kubernetes clusters to identify drift and technical debt

02Reverse-engineering the reasoning behind specific legacy security group or networking rules

03Untangling and documenting infrastructure inherited during a company merger

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add simplycycling/dotfiles infra-archaeology

For use in Claude.ai and ChatGPT