Code to Diagram
SkillFiles & storageLets your agent analyze a codebase and generate architecture diagrams and flowcharts as Mermaid or SVG files.
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Then ask your AI: use the Code to Diagram skill
About this capability
Analyze codebases and automatically generate architecture diagrams, flowcharts, and org charts. Uses AST parsing to map import dependencies for Python, JS/TS, Go, and Java, outputting Mermaid or SVG files. Triggered when users ask to visualize code architecture, understand dependencies, draw a flowc
What this skill tells your AI
The instructions your AI receives, as published by zebbern/claude-code-guide in skills/code-to-diagram/SKILL.md and read by ahel’s review.
Extract import and dependency relationships from a codebase via AST parsing, and automatically generate three types of diagrams:
- Architecture Diagram — Module/directory-level dependency relationships
- Flowchart — File-level import call chains
- Org Chart — Directory/file hierarchy structure
Supported languages: Python, JavaScript, TypeScript, Go, Java
Output formats: Mermaid text (.mmd) or SVG images (requires mmdc installed on the system)
Usage
Basic: Analyze an Entire Project
python3 scripts/analyze_codebase.py /path/to/project
Outputs three Mermaid diagrams to stdout and writes .mmd files to the current directory.
Specify Diagram Type
# Architecture diagram only
python3 scripts/analyze_codebase.py /path/to/project --type architecture
# Flowchart only
python3 scripts/analyze_codebase.py /path/to/project --type flowchart
# Org chart only
python3 scripts/analyze_codebase.py /path/to/project --type org
Specify Output Directory and Format
# Output to a specific directory
python3 scripts/analyze_codebase.py /path/to/project --output /tmp/diagrams
# Output as SVG (requires mmdc)
python3 scripts/analyze_codebase.py /path/to/project --format svg
# Output both Mermaid and SVG
python3 scripts/analyze_codebase.py /path/to/project --format both
Output JSON Analysis Results
python3 scripts/analyze_codebase.py /path/to/project --json
Parameters
| Parameter | Description |
|---|---|
directory | Code directory to analyze (required) |
--type, -t | Diagram type: architecture, flowchart, org, all (default: all) |
--output, -o | Output directory (default: current directory) |
--format, -f | Output format: mermaid, svg, both (default: mermaid) |
--max-files | Maximum number of files to scan (default: 500) |
--max-depth | Maximum depth for org chart (default: 4) |
--json | Output analysis results in JSON format |
How It Works
- Scan phase: Recursively traverse the directory, skipping
node_modules,.git,__pycache__, etc. - Parse phase:
- Python files: uses the
astmodule to parseimportandfrom ... importstatements - JS/TS files: uses regex to match
import,require, andexport from - Go files: uses regex to match
importstatements - Java files: uses regex to match
importstatements
- Python files: uses the
- Resolve internal dependencies: Maps import paths to actual files within the project
- Generate diagrams: Converts dependency relationships into Mermaid diagram syntax
- Render (optional): Calls
mmdc(Mermaid CLI) to render.mmdfiles as SVG
Use Cases
- Quickly understand the module structure of an unfamiliar project
- Visualize dependencies during code review
- Create architecture diagrams for technical documentation
- Detect circular dependencies or excessive coupling
- Analyze project structure before refactoring
Dependencies
- Python 3.7+ (standard library only, no extra packages needed)
- SVG output requires
@mermaid-js/mermaid-cli(optional)
Notes
- Only analyzes static import relationships; dynamic imports are not tracked
- For large projects, use
--max-filesto limit the scan scope - Mermaid diagrams with too many nodes may be hard to render; use
--typeto generate diagrams separately
Signals
- GitHub stars
- 5k
- Forks
- 463
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
code-to-diagram- Source
- github.com/zebbern/claude-code-guide