How does the Infrastructure Lead gather information?

The skill performs a deep scan of the repository, analyzing files such as package.json, Dockerfiles, and config scripts to find verifiable evidence of infrastructure patterns.

Where is the documentation stored?

The skill typically outputs its findings to a standardized infrastructure.md file within the project's spec directory for easy access and version control.

Can it document installation procedures?

Yes, it identifies and documents the specific steps required to configure and install the project based on existing setup scripts and environment manifests.

Does this skill support visual diagrams?

Yes, it automatically includes Mermaid diagrams within the generated documentation to visualize the project's file system and service dependencies.

What happens if an infrastructure component isn't found?

To maintain high accuracy, the skill marks any missing or unverified infrastructure areas as 'not observed' rather than making assumptions or omitting the section.

Infrastructure Lead

Name: Infrastructure Lead
Author: qmu

byqmu

0•

Despliegue y DevOps

Analyzes and documents project infrastructure, dependencies, and environment requirements using evidence-based codebase scanning.

The Infrastructure Lead skill serves as an automated architect that maps out the technical backbone of your repository. By scanning for manifests, configuration files, and directory structures, it generates a standardized infrastructure specification that details external dependencies, file system layouts, and installation procedures. Unlike generic documentation tools, it strictly adheres to observable evidence, citing specific files like Dockerfiles or package manifests, and explicitly flags missing information as 'not observed' to prevent the hallucination of system requirements.

Características Principales

01Automated mapping of file system layouts and directory structures

02Generation of inline Mermaid diagrams for visual infrastructure representation

030 GitHub stars

04Detailed analysis of external dependencies and service management

05Evidence-based documentation with citations to configuration and manifest files

06Strict validation to ensure documentation reflects current reality rather than aspirational goals

Casos de Uso

01Auditing legacy repositories to identify forgotten dependencies and undocumented setup procedures

02Maintaining up-to-date infrastructure specifications in rapidly evolving CI/CD environments

03Onboarding new developers by providing an accurate, evidence-backed map of the system environment

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qmu/workaholic lead-infra

For use in Claude.ai and ChatGPT

Download Skill