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Infographic

Skill onfire7777/universal-ai-skills-library/skills/infographic

Generate high-density infographics with structured layout and style choices and bundled generation tooling. Use when the user asks to create an infographic, a visual summary, or a dense single-page information graphic.From its SKILL.md

Install
npx -y skills add onfire7777/universal-ai-skills-library --skill infographic

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SKILL.md

10.2 KB, ~2.3k tokens by cl100k_base, as published. Nobody here has run it

Infographic Generation (infographic)

Reference Images (Important)

If you use reference images (image-to-image / series reference / consistency refs):

  • Reference images must be public URLs.
  • HTTPS is strongly recommended.
  • http:// may work but is insecure and can be blocked by some networks.
  • Local file paths and data: URLs are not supported by the WeryAI gateway.

This skill turns complex source material into a single high-density infographic.

Maintain the layout and style mapping when the bundled generation runtime updates, and re-check recent runtime behavior if a newer version changes prompt handling.

Script:

  • scripts/scaffold.ts
  • scripts/build-prompt.ts
  • scripts/build-batch.ts

Safety & Scope

  • Network: This skill calls the WeryAI gateway over HTTPS (https://api.weryai.com).
  • Auth: Uses IMAGE_GEN_API_KEY. The key is never printed. It may be persisted only when you explicitly run npm run setup -- --persist-api-key.
  • Reference images: Must be public URLs (https:// recommended). http:// may work but is insecure. Local file paths and data: URLs are rejected.
  • No arbitrary shell: The generation runtime does not execute arbitrary shell commands.
  • Files written: Output images and optional local config under .image-skills/infographic/ (project) and/or ~/.image-skills/infographic/ (home).

Use Cases

  • high-density information graphics
  • visual summaries
  • data relationship graphics
  • process posters
  • content that needs to be explained in one image

Not a good fit for:

  • a single article cover image
  • multi-card RedNote content
  • a sequential comic narrative

Core Dimensions

  1. layout: the information structure
  2. style: the visual language

See:

Commands

ScriptPurpose
scripts/scaffold.tsInitialize analysis.md, structured-content.md, and prompts
scripts/build-batch.tsGenerate batch.json from prompt variants
scripts/build-prompt.tsBuild final prompt from structured-content.md
npm run generateGenerate the infographic
../compression-runtime/scripts/main.tsCompress output for delivery

Workflow

Step 1: Initialize Working Files

Create the working directory and starter files:

${BUN_X} {baseDir}/scripts/scaffold.ts \
  --output-dir infographic/topic-slug \
  --topic "Topic name" \
  --lang en

This creates:

  • analysis.md
  • structured-content.md
  • prompts/infographic.md

Step 2: Understand the Source

Extract:

  • the main topic
  • the target audience
  • the density of information
  • whether the content is driven by data, lists, hierarchy, process, or comparison
  • the user's language, especially for titles, labels, and annotations

Save the result to analysis.md, using:

Step 3: Organize Structured Content

Before selecting the final layout and style, rewrite the material into structured-content.md:

This step should make titles, sections, labels, and data points explicit.

Step 4: Choose layout and style

Default priorities:

  • layout: bento-grid
  • style: infographic

Recommended rules:

  • step-by-step tutorial -> linear-progression
  • comparison -> binary-comparison
  • hierarchy -> hierarchical-layers
  • broad knowledge overview -> bento-grid
  • dense modular content -> dense-modules

If the user explicitly asks for a specific visual direction, follow that preference.

Step 5: Build batch.json for Variants

If you want to explore multiple infographic directions, place multiple prompt files in prompts/, for example:

  • 01-technical.md
  • 02-minimal.md
  • 03-bold.md

Then generate a batch file:

${BUN_X} {baseDir}/scripts/build-batch.ts \
  --prompts infographic/topic-slug/prompts \
  --output infographic/topic-slug/batch.json \
  --images-dir infographic/topic-slug \
  --model "$M" \
  --jobs 3

The script reads Style direction: and Aspect ratio: from each prompt file when possible, then maps them into generation task fields.

Step 6: Build the Final Prompt

Convert structured-content.md into the final prompt:

${BUN_X} {baseDir}/scripts/build-prompt.ts \
  --structured-content infographic/topic-slug/structured-content.md \
  --output infographic/topic-slug/prompts/infographic.md \
  --audience "product teams" \
  --style technical-schematic \
  --aspect 4:3 \
  --lang en

This keeps the prompt synchronized with the structured content instead of rewriting it by hand.

Step 7: Map to the Bundled Runtime

The bundled image runtime currently exposes one structured style argument, --style, so:

  • map style to --style
  • write layout, labels, hierarchy, and information relationships into the prompt body
  • prefer 3:4, 4:3, or 16:9 depending on content shape

Recommended mapping:

infographic styleruntime --style
craft-handmadewatercolor
chalkboardchalk
corporate-memphisflat-illustration
technical-schematicinfographic
bold-graphicposter
storybook-watercolorwatercolor
retro-pop-gridposter
minimaleditorial

Use references/prompt-template.md and make sure to:

  • define the main title, subtitle, sections, and labels explicitly
  • include numbers, years, and terminology directly when possible
  • emphasize hierarchy, whitespace, and readability instead of abstract style-only wording
  • state the target language explicitly if the image needs on-canvas text

Step 8: Run Generation

On first use in a new project, run npm run ensure-ready -- --project <your-project> --workflow infographic from this skill directory before generation. This reads the doctor report and auto-runs bootstrap if local script dependencies are still missing. If the report shows a missing IMAGE_GEN_API_KEY and the user approves, run npm run setup -- --project <your-project> --workflow infographic --persist-api-key when the key is already in env, or persist it to .image-skills/infographic/.env on the user's behalf, then continue without leaving this workflow.

When this skill is first connected, tell the user that the default generation model is Nano Banana 2 (GEMINI_3_1_FLASH_IMAGE). Also tell them it can be switched later whenever another model fits the task better.

${BUN_X} {baseDir}/npm run generate \
  --promptfiles prompts/infographic.md \
  --style infographic \
  --image infographic/topic-slug/infographic.png \
  --ar 3:4 \
  -m "$M"

Batch example:

${BUN_X} {baseDir}/npm run generate \
  --batchfile infographic/topic-slug/batch.json \
  --jobs 3

If the user has not chosen a model yet, follow this skill's model-selection rules first.

Output Convention

Suggested output directory:

infographic/<topic-slug>/

Suggested minimum files:

  • analysis.md
  • structured-content.md
  • prompts/infographic.md
  • batch.json
  • infographic.png

Re-run Behavior

  • scaffold.ts on an existing directory overwrites analysis.md, structured-content.md, and the starter prompt files.
  • build-prompt.ts overwrites the target prompt file each time it runs.
  • build-batch.ts overwrites batch.json.
  • Re-running the base generator with the same --image path overwrites the existing infographic output.
  • If multiple prompt variants are listed in batch.json, re-running the batch regenerates all listed variants unless you remove the ones you want to keep.

Definition of Done

  • analysis.md, structured-content.md, and prompts/infographic.md exist in the output directory.
  • The generated infographic matches the chosen layout / style / aspect.
  • The image is shown directly to the user with a summary of the parameters used.
  • A compressed webp version is produced for delivery.

Iteration

When the user wants changes after seeing the generated infographic:

  • Layout issues ("too crowded", "unclear hierarchy") → switch layout in structured-content.md and rebuild the prompt. Try a different layout pattern.
  • Style mismatch ("too busy", "not professional enough") → change style / --style, re-generate.
  • Content issues ("missing X", "remove this section") → revise structured-content.md, rebuild prompt with build-prompt.ts, re-generate.
  • Text readability ("text too small", "can't read it") → reduce information density in the prompt, or switch to a less text-heavy layout.
  • Want to explore alternatives → create multiple prompt variants in prompts/, batch-generate to compare layouts and styles.

Infographics are single-image outputs, so each iteration only re-generates one image.

Delivery

When the infographic is ready:

  1. Show the image directly — do not just print a file path.
  2. Briefly state: layout type, style, aspect ratio.
  3. Ask if the user wants changes (layout, content, style) or is satisfied.
  4. Auto-compress: once confirmed, run the canonical compression runtime to produce a webp version.
${BUN_X} {baseDir}/../compression-runtime/scripts/main.ts infographic/topic-slug/infographic.png -f webp -q 85

If multiple variants were generated via batch, show all of them and let the user pick the best one.

Internal checklist (for agent): layout / style / aspect, information division, model, text language, compression done.

What ships with it: 16 files

37.0 KB alongside SKILL.md, 7 of them executable

scripts/

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