Hand-drawn Infographic Pack

The problem

Converting technical articles or long-form notes into engaging social media content is time-consuming. Most AI image generators lack the stylistic consistency required to create a unified carousel or thread that looks like a branded series.

What it does

• Analyzes source documents to extract core messages and independent supporting points.
• Determines the optimal number of images (up to 12) based on content depth and intent.
• Generates a coordinated series of 16:9 images with a strict Notion-style hand-drawn aesthetic.
• Enforces global consistency for characters, line quality (marker pen), and a yellow-black color palette.
• Produces specific prompts for title covers, content slides, and call-to-action summaries.

Frameworks & tools

Designed for use with image generation models like DALL-E 3, Midjourney v6, Flux 1.1, or Ideogram 2.0.

Why this beats prompting it yourself

Manual prompting often results in style drift where image three looks nothing like image one. This skill uses a multi-step workflow with locked style prefixes and suffixes to ensure every image in the series maintains the same tremor, line weight, and character features without manual intervention.

Use cases

• Convert technical documentation into high-engagement Twitter/X threads.
• Transform blog posts into swipeable LinkedIn carousels for professional branding.
• Turn educational tutorials into digestible Instagram slides.
• Create consistent visual callouts for long-form blog articles.

Known limitations

Designed strictly for the Notion hand-drawn aesthetic. It is not suitable for data-precise charts or corporate photorealism. There is a hard cap of 12 images per series.