
Illustrated Explainer Spec
This is a complete spec for building a watercolor-style visual Wikipedia where every click drills deeper into whatever you point at. Type "photosynthesis," get a 16:9 painted explainer, click the chloroplast, get a new page zooming into that structure, infinitely. It's built on content-addressed caching so identical clicks never regenerate, and the architecture uses a thin client with server-side image model calls (Gemini in the reference implementation). The clever bit is compositing a red marker onto parent images before feeding them back to the model with strict style-consistency prompts. This is the kind of explorable explanation that feels obvious in retrospect but required someone to actually spec out the hashing, prompt engineering, and Sharp compositing plumbing.
- skills.sh installs
- 165
- GitHub stars
- 26
- last updated
- Jun 3, 2026
Install
$ npx -y skills add aradotso/trending-skills --skill illustrated-explainer-spec --agent claude-codeInstalls into .claude/skills of the current project.
Files
Illustrated Explainer Spec Implementation Guide
Skill by ara.so — Daily 2026 Skills collection.
What This Project Is
A spec (not a library) for building a locally-run single-page web app where:
- User types a topic → AI generates a 16:9 watercolor-style illustrated explainer page
- User clicks anywhere on the image → AI generates a "drill-into" next page for that spot
- This repeats infinitely, preserving painting style across all pages
- Content-addressed caching means identical queries/clicks never re-generate
The spec is stack-agnostic — you choose the framework, image model API, and language. This skill shows you how to implement it end-to-end.
Architecture Overview
Browser (thin client)
└── POST /api/page ──► Server
├── hash → check disk cache
├── composite red marker onto parent image
├── call image model (text + optional image)
└── write PNG → return page object
Page Object Shape
Sponsors
Details
- Repository
- github.com/aradotso/trending-skills
- Category
- Documentation
- First seen
- Jun 3, 2026
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