Generate, transform, and clean up tech diagrams and whiteboard photos via the Nano Banana 2 model (Fal AI). Wraps the nano-tech-diagrams MCP server with a curated prompt library across 5 diagram families and 28+ visual styles.
npx claudepluginhub danielrosehill/claude-code-plugins --plugin nano-tech-diagramsUse when the user has a photo of a whiteboard, paper sketch, or napkin diagram and wants a clean, publishable version.
Use when the user wants a curated, known-good prompt template to start from, organised by diagram family and style category.
Use when the user wants to generate a tech diagram from a text description (network topology, architecture, flowchart, mind map, K8s cluster, etc.).
Use when the user wants to see available visual style presets (chalkboard, blueprint, pixel-art, neon-sign, etc.) before generating or transforming a diagram.
Use when the user wants to see available diagram-type presets (network, flowchart, K8s, mind-map, etc.) to guide their description.
Use when the user has an existing diagram or screenshot and wants to transform it into a different visual style or polish the rendering.
Use when the user wants the full pipeline: take a whiteboard photo, pick a style, clean it up, and save the result as a publishable diagram with optional comparison.
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.
generate-tech-diagram — text-to-image diagram generation (network, flowchart, K8s, mind map, etc.)restyle-diagram — transform an existing image into a different visual stylecleanup-whiteboard — turn whiteboard / sketch photos into polished diagramslist-diagram-styles — browse the 28+ visual style presetslist-diagram-types — browse the diagram-type presetsdiagram-prompt-library — curated, known-good prompt templates by family and stylewhiteboard-to-publishable — full pipeline: photo → cleaned diagram → comparison + captionThis 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.
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.
Export FAL_KEY (or FAL_AI_API_KEY) in the environment Claude Code launches the MCP from.
image-annotation pluginThe whiteboard-to-publishable orchestrator can optionally use it for side-by-side comparison images and redaction. Without it, the orchestrator degrades gracefully.
# 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
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.
MIT
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