Which programming languages does Smart Docs support?

Smart Docs is language-agnostic and supports all major programming languages, including Rust, Python, Java, Go, JavaScript, and TypeScript, by analyzing project structure and common patterns.

How does it handle large codebases?

It employs a progressive analysis strategy, scanning the project in batches and prioritizing core modules and entry points to stay within AI context window limitations.

Can I customize the generated documentation?

The skill produces standardized Markdown files in a /docs directory, which can be easily edited, moved, or integrated into existing documentation sites like Docusaurus or GitBook.

Does it create visual diagrams?

Yes, it automatically generates Mermaid.js diagrams for system context (C4 Level 1), container architecture (C4 Level 2), sequence workflows, and class relationships.

What is the C4 model used by this skill?

The C4 model is a lean graphical notation technique for modeling the architecture of software systems across different levels of abstraction: Context, Containers, and Components.

Smart Docs Generator

Name: Smart Docs Generator
Author: yzlin

byyzlin

0•

Aprendizaje y Documentación

Generates comprehensive, professional codebase documentation including C4 model diagrams and architectural deep dives using AI analysis.

Smart Docs is an advanced documentation engine designed to transform complex codebases into structured, readable technical guides. It leverages progressive analysis to understand project structures, identify architectural patterns, and visualize system relationships through Mermaid diagrams. Following the C4 model for software architecture, it creates a multi-layered documentation suite—from high-level project overviews to granular component deep dives—ensuring that developers, architects, and stakeholders have a clear, up-to-date map of their software ecosystem. This skill is ideal for teams needing to bridge the gap between source code and high-quality technical specifications without manual overhead.

Características Principales

01Dynamic Mermaid diagram generation for workflows, sequences, and classes

02Progressive codebase analysis to handle large-scale projects efficiently

03Standardized Markdown output with front matter and cross-referenced navigation

04Automated project discovery and technology stack identification

050 GitHub stars

06Multi-level architecture mapping using the C4 model framework

Casos de Uso

01Generating professional technical specifications and developer guides for open-source projects

02Onboarding new developers by providing a clear architectural map of an existing codebase

03Visualizing complex system workflows and data flows for architectural reviews and audits

Características Principales

01Dynamic Mermaid diagram generation for workflows, sequences, and classes

02Progressive codebase analysis to handle large-scale projects efficiently

03Standardized Markdown output with front matter and cross-referenced navigation

04Automated project discovery and technology stack identification

050 GitHub stars

06Multi-level architecture mapping using the C4 model framework

Casos de Uso

01Generating professional technical specifications and developer guides for open-source projects

02Onboarding new developers by providing a clear architectural map of an existing codebase

03Visualizing complex system workflows and data flows for architectural reviews and audits