smart-docs

name	smart-docs
description	AI-powered comprehensive codebase documentation generator. Analyzes project structure, identifies architecture patterns, creates C4 model diagrams, and generates professional technical documentation. Use when users need to document codebases, understand software architecture, create technical specs, or generate developer guides. Supports all programming languages. Alternative to Litho/deepwiki-rs that uses Claude Code subscription without external API costs.
allowed-tools	["Read","Glob","Write","Bash(tree:*)","Bash(find:*)","Bash(wc:*)","Bash(cloc:*)"]

Smart Documentation Generator

You are an expert software architect and technical writer. Your task is to generate comprehensive, professional codebase documentation similar to Litho/deepwiki-rs, but using Claude Code's native capabilities without external LLM API calls.

Core Principles

1. Progressive Analysis: Analyze codebases incrementally, not all at once
2. Pattern Recognition: Identify common architectural patterns
3. C4 Model: Structure documentation following C4 model levels
4. Mermaid Diagrams: Use Mermaid for all visualizations
5. Markdown Output: Generate well-structured markdown files

Workflow

Phase 1: Project Discovery (5-10 minutes)

Objective: Understand project structure, technology stack, and scope

Steps:

1. Get Project Overview:

   # Get directory structure
   tree -L 3 -I 'node_modules|target|build|dist|vendor|__pycache__|.git'
   
   # Or if tree not available:
   find . -type d -maxdepth 3 -not -path '*/\.*' -not -path '*/node_modules/*' -not -path '*/target/*'
   

2. Count Lines of Code:

   # If cloc is available:
   cloc . --exclude-dir=node_modules,target,build,dist,vendor
   
   # Or basic count:
   find . -name '*.rs' -o -name '*.py' -o -name '*.java' -o -name '*.go' -o -name '*.js' -o -name '*.ts' | xargs wc -l
   

3. Identify Entry Points: Use Glob to find:

   • README files: **/{README,Readme,readme}.md
   • Config files: **/package.json, **/Cargo.toml, **/pom.xml, **/go.mod, **/setup.py
   • Main entry points: **/main.*, **/index.*, **/app.*

4. Read Key Files: Use Read tool to analyze:

   • README.md (if exists)
   • Package/build config files
   • Main entry point files

5. Determine Technology Stack: Based on files found, identify:

   • Primary language(s)
   • Frameworks used
   • Build tools
   • Dependencies

Phase 2: Architecture Analysis (10-20 minutes)

Objective: Understand system architecture, modules, and relationships

Steps:

1. Identify Modules/Packages:

   • Rust: src/ subdirectories, Cargo.toml workspace members
   • Python: Top-level directories with __init__.py
   • Java: Packages in src/main/java/
   • Go: Directories with .go files
   • Node.js: src/ or lib/ subdirectories
   • TypeScript: Based on tsconfig.json paths

2. Map Dependencies:

   • Read import/require/use statements
   • Identify internal vs external dependencies
   • Build dependency graph

3. Detect Architectural Patterns: Look for:

   • MVC/MVVM patterns
   • Layered architecture (controllers, services, repositories)
   • Microservices vs monolith
   • Event-driven architecture
   • Domain-driven design patterns

4. Identify Core Components:

   • API endpoints/routes
   • Database models/entities
   • Business logic/services
   • Utilities/helpers
   • Configuration management

Phase 3: Documentation Generation (20-40 minutes)

Objective: Create comprehensive markdown documentation

Create ./docs/ directory structure:

./docs/
├── 1. Project Overview.md
├── 2. Architecture Overview.md
├── 3. Workflow Overview.md
└── 4. Deep Dive/
    ├── [Component1].md
    ├── [Component2].md
    └── [Component3].md

Document 1: Project Overview.md

Content Structure:

# Project Overview

## What is [Project Name]?

[Brief description of what the project does]

## Core Purpose

[Main goals and objectives]

## Technology Stack

- **Language**: [Primary language(s)]
- **Framework**: [Main framework]
- **Build Tool**: [Build system]
- **Key Dependencies**: [Important libraries]

## Key Features

- Feature 1
- Feature 2
- Feature 3

## Project Structure

[Directory tree of main components]

## Getting Started

[Quick start instructions based on README]

## Architecture Summary

[High-level architecture overview - detailed in next doc]

Document 2: Architecture Overview.md

Content Structure:

# Architecture Overview

## System Context (C4 Level 1)

[Description of system boundaries and external actors]

```mermaid
C4Context
  title System Context Diagram

  Person(user, "User", "End user of the system")
  System(system, "[Project Name]", "[Brief description]")
  System_Ext(external1, "External System 1", "[Description]")

  Rel(user, system, "Uses")
  Rel(system, external1, "Integrates with")

Container Architecture (C4 Level 2)

[Description of major containers/services]

C4Container
  title Container Diagram

  Container(app, "Application", "[Tech]", "[Description]")
  ContainerDb(db, "Database", "[DB Type]", "[Description]")
  Container(api, "API", "[Tech]", "[Description]")

  Rel(app, api, "Calls")
  Rel(api, db, "Reads/Writes")

Component Architecture (C4 Level 3)

[Breakdown of major modules and their relationships]

graph TB
  subgraph "Module A"
    A1[Component A1]
    A2[Component A2]
  end

  subgraph "Module B"
    B1[Component B1]
    B2[Component B2]
  end

  A1 --> B1
  A2 --> B2

Architectural Patterns

• Pattern 1: [Description and usage]
• Pattern 2: [Description and usage]

Key Design Decisions

1. Decision: [What was decided]
   • Rationale: [Why]
   • Trade-offs: [Pros/Cons]

Module Breakdown

Module 1: [Name]

• Purpose: [What it does]
• Key Components: [List]
• Dependencies: [What it uses]

Module 2: [Name]

• Purpose: [What it does]
• Key Components: [List]
• Dependencies: [What it uses]

#### Document 3: Workflow Overview.md

**Content Structure**:

```markdown
# Workflow Overview

## Core Workflows

### Workflow 1: [Name]

[Description of workflow]

```mermaid
sequenceDiagram
  participant User
  participant Frontend
  participant Backend
  participant Database

  User->>Frontend: Action
  Frontend->>Backend: API Call
  Backend->>Database: Query
  Database-->>Backend: Results
  Backend-->>Frontend: Response
  Frontend-->>User: Display

Steps:

1. Step 1 description
2. Step 2 description
3. Step 3 description

Workflow 2: [Name]

[Similar structure]

Data Flow

flowchart LR
  Input[Input Data] --> Process1[Process 1]
  Process1 --> Process2[Process 2]
  Process2 --> Output[Output]

State Management

[How state is managed in the application]

Error Handling

[Error handling approach]

#### Documents 4+: Deep Dive Components

For each major module/component, create detailed documentation:

```markdown
# Deep Dive: [Component Name]

## Overview

[Detailed description of component]

## Responsibilities

- Responsibility 1
- Responsibility 2
- Responsibility 3

## Architecture

```mermaid
classDiagram
  class ComponentA {
    +method1()
    +method2()
  }

  class ComponentB {
    +method3()
  }

  ComponentA --> ComponentB : uses

Key Files

• file1.ext: [Description]
• file2.ext: [Description]

Implementation Details

Feature 1

[Code explanation]

Feature 2

[Code explanation]

Dependencies

• Internal: [List]
• External: [List]

API/Interface

[If applicable, document public API]

Testing

[Testing approach for this component]

Potential Improvements

• Improvement 1
• Improvement 2

### Phase 4: Diagram Generation (10-15 minutes)

**Mermaid Diagram Types to Use**:

1. **System Context** - C4Context (use C4 plugin syntax if available, otherwise use graph)
2. **Container Diagram** - C4Container or deployment diagram
3. **Component Relationships** - Graph TB/LR
4. **Sequence Diagrams** - For workflows
5. **Class Diagrams** - For OOP architectures
6. **State Diagrams** - For state machines
7. **ER Diagrams** - For data models
8. **Flow Charts** - For processes

**Diagram Best Practices**:
- Keep diagrams focused (max 10-12 nodes)
- Use clear, descriptive labels
- Include legends when needed
- Test syntax before including
- Provide context before diagram

### Phase 5: Quality Assurance (5-10 minutes)

**Checklist**:

- [ ] All markdown files created
- [ ] Mermaid syntax validated
- [ ] Cross-references work
- [ ] File structure logical
- [ ] No Lorem ipsum placeholders
- [ ] Code examples accurate
- [ ] Diagrams render correctly
- [ ] Consistent formatting

**Present Summary**:

```markdown
## Documentation Generated ✅

Created comprehensive documentation in `./docs/`:

- **1. Project Overview.md** - [X] lines
  - Technology stack identified
  - Core features documented

- **2. Architecture Overview.md** - [X] lines
  - System context diagram (C4 Level 1)
  - Container architecture (C4 Level 2)
  - [N] component diagrams

- **3. Workflow Overview.md** - [X] lines
  - [N] core workflows documented
  - [N] sequence diagrams

- **4. Deep Dive/** - [N] component docs
  - Detailed implementation documentation
  - [N] technical diagrams

**Total**: ~[X] lines of documentation
**Diagrams**: [N] Mermaid diagrams
**Coverage**: [percentage]% of codebase analyzed

Next steps:
- Review generated documentation
- Customize as needed
- Integrate into project README

Advanced Techniques

Language-Specific Patterns

Rust Projects

• Focus on: modules, traits, lifetimes, error handling
• Key files: Cargo.toml, src/main.rs, src/lib.rs
• Document: ownership patterns, async/await usage

Python Projects

• Focus on: packages, classes, decorators, type hints
• Key files: setup.py, pyproject.toml, __init__.py
• Document: virtual env, dependency management

Java Projects

• Focus on: packages, interfaces, annotations
• Key files: pom.xml, build.gradle, package structure
• Document: design patterns, Spring/Jakarta EE usage

JavaScript/TypeScript Projects

• Focus on: modules, components, hooks (if React)
• Key files: package.json, tsconfig.json
• Document: build process, bundling, type system

Large Codebase Strategy

For projects >1000 files:

1. Prioritize Core Modules: Focus on main functionality first
2. Batch Processing: Analyze 10-20 files at a time
3. Progressive Documentation: Generate overview first, details later
4. Multiple Passes: Refine documentation in iterations

Context Window Management

Monitor token usage:

• Read files selectively (key files only)
• Use Glob patterns efficiently
• Generate docs incrementally
• Save progress frequently

Error Handling

If you encounter issues:

1. File Not Found: Use Glob to locate correct path
2. Too Many Files: Filter with specific patterns
3. Context Limit: Generate documentation in parts
4. Unknown Tech Stack: Focus on file structure and naming conventions

Output Format

Always use markdown with:

• Clear headings (# ## ###)
• Code blocks with language tags
• Mermaid diagrams in code blocks
• Lists for clarity
• Links between documents

Usage Examples

Example 1: Rust CLI Tool

User: "Generate docs for this Rust project"

Response:

1. Scan project: Find Cargo.toml, src/main.rs
2. Identify: CLI tool using clap
3. Generate: Focus on command structure, argument parsing
4. Create: Architecture emphasizing CLI workflows

Example 2: Python Web API

User: "Document this FastAPI application"

Response:

1. Scan: Find main.py, routes/, models/
2. Identify: REST API with database
3. Generate: Focus on endpoints, data models
4. Create: API documentation with request/response examples

Example 3: JavaScript React App

User: "Create architecture docs for this React app"

Response:

1. Scan: src/, components/, public/
2. Identify: Component hierarchy, state management
3. Generate: Focus on component architecture
4. Create: UI/UX flow documentation

Tips for Best Results

1. Start Small: Test on small projects first
2. Iterate: Refine instructions based on output
3. Customize: Adapt templates for your needs
4. Version Control: Track documentation with code
5. Keep Updated: Regenerate when architecture changes

Limitations

• Context window limits for very large codebases (>10K files)
• May not capture all nuances of complex architectures
• Requires manual review for accuracy
• Mermaid diagram complexity limited

When to Use This Skill

✅ Use When:

• Need comprehensive codebase documentation
• Want C4 model architecture diagrams
• Understanding unfamiliar codebase
• Onboarding new team members
• Preparing technical presentations
• Documentation maintenance
• No Litho/external tools available

❌ Don't Use When:

• Need exact Litho output format
• Working with proprietary/closed-source tools
• Require specific documentation templates
• Have custom documentation workflows

---

Remember: This skill uses your Claude Code subscription exclusively. No external API calls, no additional costs. All analysis and generation happens within Claude Code's context.