When should I use the Project Analysis skill?

Invoke this skill whenever you start working on a new repository, need to explain architecture to a teammate, or need to generate documentation for a project.

Is this skill helpful for legacy projects?

Yes, it is specifically designed to map out unknown structures and conventions, making it perfect for understanding older or undocumented codebases.

Can it identify testing and linting tools?

Yes, it audits the development workflow by checking for configurations like ESLint, Prettier, Jest, Pytest, and Git hooks.

How does this skill detect the technology stack?

It scans root files and package managers like package.json, requirements.txt, go.mod, and Cargo.toml to identify languages, frameworks, and infrastructure tools.

What kind of output format does it provide?

It generates a structured Markdown report including a tech stack table, an ASCII directory tree, key entry points, and common development commands.

Project Architecture Analyzer

Name: Project Architecture Analyzer
Author: OrdinalDragons

byOrdinalDragons

Productivity & Workflow

Performs systematic codebase analysis to identify tech stacks, directory structures, and architectural patterns.

About

The Project Analysis skill automates the process of understanding new or complex codebases by systematically identifying programming languages, frameworks, infrastructure components, and development workflows. It generates a standardized overview including tech stack tables, annotated directory trees, and key architectural patterns, making it an essential tool for developer onboarding, architectural reviews, or when switching between different projects. By providing a 360-degree view of the project, it helps developers quickly grasp the 'how' and 'why' behind a codebase's organization.

Key Features

Annotated project structure visualization with directory-level purpose identification.
Detection of architectural patterns, API styles (REST/GraphQL), and state management strategies.
Comprehensive development workflow auditing including linting, testing, and CI/CD pipelines.
0 GitHub stars
Automated tech stack and dependency detection across multiple ecosystems including Node.js, Python, Go, and Rust.
Standardized markdown reporting for consistent documentation of project entry points and commands.

Use Cases

Performing architectural audits to ensure consistency with organizational standards and patterns.
Generating high-quality documentation for project READMEs or internal developer portals.
Onboarding to a new codebase or legacy project to quickly understand the landscape and tech stack.

About

Key Features

Annotated project structure visualization with directory-level purpose identification.
Detection of architectural patterns, API styles (REST/GraphQL), and state management strategies.
Comprehensive development workflow auditing including linting, testing, and CI/CD pipelines.
0 GitHub stars
Automated tech stack and dependency detection across multiple ecosystems including Node.js, Python, Go, and Rust.
Standardized markdown reporting for consistent documentation of project entry points and commands.

Use Cases

Performing architectural audits to ensure consistency with organizational standards and patterns.
Generating high-quality documentation for project READMEs or internal developer portals.
Onboarding to a new codebase or legacy project to quickly understand the landscape and tech stack.