Is this useful for generating documentation?

Absolutely. It provides a structured report of the project type, frameworks, and key components, which serves as a perfect foundation for README files or system architecture docs.

Can it analyze complex monorepos?

Yes, it specifically detects workspace configurations and provides metrics on package counts, shared dependencies, and build order logic.

How does it determine the project type?

The skill uses a priority-based scanning system that looks for signature indicator files such as package.json, go.mod, or Chart.yaml using optimized glob patterns.

What project types can this skill detect?

It identifies infrastructure projects (Kubernetes, Helm, Terraform), application code (Node.js, Python, Go, Java, Rust), and monorepo structures (Nx, Turborepo, Lerna, pnpm).

Project Analysis & Structure Detector

Name: Project Analysis & Structure Detector
Author: zlyv587

byzlyv587

学习与文档

Analyzes codebases to automatically detect project types, infrastructure setups, and directory structures for enhanced understanding and documentation.

关于

The Project Analysis skill enables Claude to rapidly decode the architecture of any repository by identifying signature files across infrastructure-as-code, application logic, and monorepo configurations. By systematically scanning for indicators like Helm charts, Terraform files, language-specific manifests, and workspace managers (Nx, Turborepo), it generates structured insights into a project's primary purpose, dependencies, and key components. This skill is essential for developers onboarding to new codebases or teams needing to generate comprehensive technical documentation without manual folder traversal.

主要功能

Identification of secondary characteristics like CI/CD, testing frameworks, and containerization
Structured data output for standardized project reporting and documentation
Automated detection of Infrastructure, Application, and Monorepo project types
Extraction of key metrics including service counts, namespaces, and dependencies
Priority-based signature file scanning for accurate tech stack identification
0 GitHub stars

使用场景

Rapidly onboarding to an unfamiliar codebase to understand its organization and tech stack
Generating structured project overviews for technical documentation and README files
Auditing large repositories to identify used infrastructure patterns and workspace configurations

关于

主要功能

Identification of secondary characteristics like CI/CD, testing frameworks, and containerization
Structured data output for standardized project reporting and documentation
Automated detection of Infrastructure, Application, and Monorepo project types
Extraction of key metrics including service counts, namespaces, and dependencies
Priority-based signature file scanning for accurate tech stack identification
0 GitHub stars

使用场景

Rapidly onboarding to an unfamiliar codebase to understand its organization and tech stack
Generating structured project overviews for technical documentation and README files
Auditing large repositories to identify used infrastructure patterns and workspace configurations