dmccreary/claude-skills/interactive-infographic-overlay

Claude Code and agent skill by dmccreary/claude-skills

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Generates an interactive diagram MicroSim with numbered callout markers or rectangular zones over a scientific illustration, supporting explore, quiz, and edit modes. Use for anatomy diagrams, labeled components, or comparison posters needing interactive annotations.

Install

npx vskill@latest install dmccreary/claude-skills/interactive-infographic-overlay

SKILL.md

Interactive Infographic Overlay Generator

Version: 1.0

Overview

This skill generates a complete MicroSim directory for interactive diagram overlays used in intelligent textbooks. It produces all files needed for a diagram where:

  1. A text-to-image LLM generates an annotation-free scientific illustration
  2. The diagram.js shared library renders interactive numbered markers, leader lines, and labels over the image
  3. Students can explore (hover for info), take quizzes (identify structures), and instructors can edit marker positions

When to Use This Skill

Use this skill when:

  • A chapter content spec includes a #### Diagram: details block with type "Interactive Infographic" or "Diagram" that requires a scientific illustration with labeled callouts
  • The textbook needs a labeled anatomy diagram, structural diagram, process diagram, or any image with identified regions
  • The specification calls for explore mode (hover to learn), quiz mode (identify structures), or both

Do NOT use this skill when:

  • The diagram is better served by Mermaid, Chart.js, or p5.js drawing (no background image needed)
  • The content is a pure simulation with dynamic elements (use microsim-generator instead)
  • The diagram needs only simple inline markdown images with no interactivity

Overlay Types: Callout vs. Grid

This skill supports two distinct overlay engines depending on the infographic type:

EngineUse WhenFiles
Callout (diagram.js + style.css)Scientific illustrations with numbered point markers on specific structures (anatomy, cell diagrams, labeled components)main-template.html, data-json-schema.md
Grid (grid-diagram.js + grid-overlay.css)Comparison infographics or posters with large rectangular column/region zones (side-by-side comparisons, poster sections)grid-main-template.html, grid-data-json-schema.md

Key differences:

  • Callout uses callouts[] with x, y point coordinates and draws numbered circle markers with leader lines
  • Grid uses zones[] with x1, y1, x2, y2 rectangle coordinates and draws transparent hover rectangles over columns/regions
  • Grid supports showLabels: true/false to control whether a chip label appears inside each zone (set to false when the image already has printed column titles)

Prerequisites

The project must have the shared overlay libraries installed:

docs/sims/shared-libs/
├── diagram.js (callout overlay engine — point markers)
├── style.css (callout overlay styles)
├── grid-diagram.js (grid overlay engine — rectangular zones)
└── grid-overlay.css (grid overlay styles)

To install all four files from this skill's bundled assets:

bash
mkdir -p docs/sims/shared-libs
cp ~/.claude/skills/interactive-infographic-overlay/assets/shared-libs/diagram.js docs/sims/shared-libs/
cp ~/.claude/skills/interactive-infographic-overlay/assets/shared-libs/style.css docs/sims/shared-libs/
cp ~/.claude/skills/interactive-infographic-overlay/assets/shared-libs/grid-diagram.js docs/sims/shared-libs/
cp ~/.claude/skills/interactive-infographic-overlay/assets/shared-libs/grid-overlay.css docs/sims/shared-libs/

Always check that the project's copy is up to date with the skill's bundled version before creating new diagram MicroSims.

Workflow

Choosing the Overlay Type

Before generating files, decide which engine to use:

  • Use Callout when the diagram is a scientific illustration (anatomy, hardware internals, botanical diagrams, labeled components) where small numbered markers should point to specific structures
  • Use Grid when the infographic is a comparison poster or section-based layout (3-column technology comparison, side-by-side concept contrasts, poster regions) where large rectangular hover zones make more sense

The two workflows below share the same Steps 1, 2, 6, 7, 8 but differ in Steps 3–5.


Callout Overlay Workflow (diagram.js)

Step 1: Gather Diagram Requirements

Extract from the chapter content specification or user request:

  1. Subject — What the diagram depicts (e.g., "animal cell cross-section," "moss sporophyte anatomy," "mossarium layers")
  2. Structures to label — List of 5-15 structures/regions with:
  • Name/label
  • Brief description (1-2 sentences)
  • Approximate position in the image
  • Suggested color for the marker
  1. Image style — Scientific illustration style (flat, watercolor, realistic, etc.)
  2. Image dimensions — Typically 1200×900 (landscape 4:3) or 900×1200 (portrait 3:4)
  3. Layout — side-panel (default, labels on right), top-bottom, or dual-panel
  4. Context tips — Optional exam tips, hints, or additional info per structure
Step 2: Create the MicroSim Directory

Create the directory under docs/sims/:

bash
mkdir -p docs/sims/{sim-id}

Where {sim-id} is a kebab-case name (e.g., moss-sporophyte, mossarium-layers, animal-cell).

Step 3: Generate image-prompt.md

Create docs/sims/{sim-id}/image-prompt.md with a detailed prompt for the text-to-image LLM. Use the template in references/image-prompt-template.md.

Critical rules for all image prompts:

  1. NO TEXT IN THE IMAGE — The image must contain absolutely no text, labels, arrows, callout lines, numbers, or annotation marks of any kind — including the diagram's title or any heading (the engine renders the title as an <h1>; see Title Rendering). All labeling is handled by diagram.js.
  2. Specify exact dimensions, background color, and art style
  3. Describe each structure with precise position, color, shape, and size
  4. Use percentage-based positioning (e.g., "centered at 40% from left, 30% from top")
  5. Specify the viewing angle (cross-section, top-down, side view, etc.)
Step 4: Generate data.json

Create docs/sims/{sim-id}/data.json with the overlay data. See references/data-json-schema.md for the complete schema and field definitions.

Position guidelines:

  • x and y are percentages of the image dimensions (0 = left/top, 100 = right/bottom)
  • Place markers at the visual center of each structure
  • Space markers at least 5-8% apart to avoid overlap
  • Use the ?edit=true URL parameter to calibrate positions after image generation

Panel assignment (`top-bottom` and `dual-panel` layouts only):

For these layouts each callout needs a panel field that decides which label strip it lives in. Assign it by proximity — send every label to the strip nearest its marker. Never use an alternating / odd-even (parity) pattern. The leader line's length is dominated by the gap between the marker and its label strip, so a parity pattern scatters labels far from their structures and makes the lines cross; proximity assignment keeps them short and readable.

  • `top-bottom` (top strip above the image, bottom strip below): sort the

callouts by y (0 = top of image). Give the upper half (smallest y) "panel": "top" and the lower half "panel": "bottom". With an odd count, put the extra label on top. Splitting at the median keeps the two strips balanced (so neither is overcrowded) while still placing each label on the edge closest to its marker. Then, within each strip, list the callouts left-to-right by ascending `x` so the leader lines don't cross.

  • `dual-panel` (left strip | image | right strip): the same idea rotated 90°.

Sort by x, give the left half "panel": "left" and the right half "panel": "right", and order each side top-to-bottom by ascending y.

  • `side-panel`: omit panel entirely — there is only one label panel.

Tip: if you also number the callouts (id) in the same geometric order you use for panels — e.g. top-to-bottom for top-bottom — the low ids naturally land on top and the labels read in order, so the numbering and the proximity rule agree.

Step 5: Generate main.html

Create docs/sims/{sim-id}/main.html using the template in assets/main-template.html. Replace {TITLE}, {IMAGE_FILENAME}, and {ALT_TEXT} with the actual values.

Step 6: Generate index.md

Create docs/sims/{sim-id}/index.md with documentation and an embedded iframe. Include:

  • A frontmatter title: (drives the page <title>, nav label, and social cards) plus hide: toc. Do not add a `# Title` H1 in the page body — diagram.js already renders the title as an <h1> inside the iframe, so a body H1 would show the title twice. See Title Rendering.
  • Embedded iframe (height="640px" width="100%")
  • Fullscreen link
  • Usage instructions for explore, quiz, and edit modes
  • Numbered list of all labeled structures
Step 7: Update mkdocs.yml

Add two entries to mkdocs.yml:

  1. Navigation — Add the MicroSim to the nav section under MicroSims
  2. Exclude image prompt from build — Add sims/{sim-id}/image-prompt.md to the exclude_docs: block to prevent mkdocs from rendering it as a page. Create the exclude_docs: block if it doesn't exist yet.
Step 8: Inform the User

Report all files created and provide next steps:

  1. Copy image prompt into text-to-image tool
  2. Save generated image to the MicroSim directory
  3. View at http://127.0.0.1:8000/{repo}/sims/{sim-id}/main.html
  4. Calibrate positions with ?edit=true
  5. Copy calibrated JSON back into data.json

Grid Overlay Workflow (grid-diagram.js)

Use this workflow when the infographic is a comparison poster or section-based layout.

Grid Step 1: Gather Zone Requirements

Extract from the chapter content specification or user request:

  1. Subject — What the infographic compares (e.g., "digital vs. analog signals", "textbook intelligence levels", "three sorting algorithms")
  2. Zones — List of 2–6 rectangular regions with:
  • id (kebab-case, unique)
  • label (display name)
  • color (hex)
  • Approximate percentage boundaries (x1, y1, x2, y2)
  • One-line summary
  • 3–6 bullet facts
  1. Image style — Flat infographic, comparison poster, data visualization
  2. Image dimensions — Typically 900×600 (landscape) or 1200×800
  3. showLabels — false if the image has printed column titles (default); true only if the image has no titles
Grid Step 2: Create the MicroSim Directory
bash
mkdir -p docs/sims/{sim-id}
Grid Step 3: Generate image-prompt.md

Use references/image-prompt-template.md with these extra rules for comparison posters:

  1. Columns/regions must have visible titles in the image (the chip labels are hidden by default for grid overlays). Each column should have a bold, legible header text built into the illustration.
  2. No interactive callout marks — no numbers, arrows, or overlaid text annotations (same as callout type)
  3. Each region should have a distinct color scheme matching the intended zone color
  4. Describe exact pixel regions or percentage positions so zone boundaries in data.json can be estimated accurately
Grid Step 4: Generate data.json

Create docs/sims/{sim-id}/data.json using the schema in references/grid-data-json-schema.md.

Zone position guidelines:

  • Start by estimating zone boundaries from the image description (percentage of image width/height)
  • Use ?edit=true to drag corner handles and calibrate after the image is generated
  • For a standard 3-column landscape poster, typical zone boundaries are:
  • Column 1: x1: 2, y1: 12, x2: 32, y2: 90
  • Column 2: x1: 35, y1: 12, x2: 65, y2: 90
  • Column 3: x1: 68, y1: 12, x2: 98, y2: 90
Grid Step 5: Generate main.html

Use assets/grid-main-template.html. Replace {TITLE} and {PROMPT_TEXT} (the click-to-explore instruction). The image and zones are injected by grid-diagram.js — there is no <img> tag in the template.

Link to grid-overlay.css and grid-diagram.js:

This is the start of the file. Read the full SKILL.md on GitHub.

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Source

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