nano-tech-diagrams

Nano-Tech-Diagrams Plugin

Generate, transform, and clean up tech diagrams and whiteboard photos via Fal AI's Nano Banana 2 model. Wraps the nano-tech-diagrams MCP server with seven skills and a curated prompt library across 5 diagram families and 28+ visual styles.

Skills

• generate-tech-diagram — text-to-image diagram generation (network, flowchart, K8s, mind map, etc.)
• restyle-diagram — transform an existing image into a different visual style
• cleanup-whiteboard — turn whiteboard / sketch photos into polished diagrams
• list-diagram-styles — browse the 28+ visual style presets
• list-diagram-types — browse the diagram-type presets
• diagram-prompt-library — curated, known-good prompt templates by family and style
• whiteboard-to-publishable — full pipeline: photo → cleaned diagram → comparison + caption

Requirements

This plugin is a wrapper. The actual generation runs through the nano-tech-diagrams MCP server, which must be installed and configured with a Fal AI API key.

1. Install the MCP

claude mcp add nano-tech-diagrams -- npx -y nano-tech-diagrams-mcp

Or pin via npm globally and reference the binary directly. See nano-tech-diagrams-mcp on GitHub.

2. Set the Fal AI API key

Export FAL_KEY (or FAL_AI_API_KEY) in the environment Claude Code launches the MCP from.

3. (Optional) Install the image-annotation plugin

The whiteboard-to-publishable orchestrator can optionally use it for side-by-side comparison images and redaction. Without it, the orchestrator degrades gracefully.

Installation

# User scope (always available):
claude plugins install nano-tech-diagrams@danielrosehill

# Or project scope (run inside the target repo):
claude plugins install nano-tech-diagrams@danielrosehill --scope project

Data storage

Generated images and projects default to:

${CLAUDE_USER_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/claude-plugins}/nano-tech-diagrams/

You can always pass an explicit output path to any generation skill.

Credits

• Generation engine: Nano-Tech-Diagrams-MCP
• Prompt library substrate: Tech-Diagram-Image-Gen-Prompts (vendored snapshot)
• Sample corpus: Sample-Whiteboards
• Underlying model: Fal AI's Nano Banana 2

License

MIT