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View allWhat you get
- Three 16:9 cut-paper explainers of one checked topic, exported as WebP
- Blank tabs and cards for exact labels and units, added in an overlay
- A ledger of facts, assumptions, rights and uncertainty, with the brief and provider-task.json
Good fit
- K-12 science teachers who need a lesson visual for the board
- Course creators covering one bounded process per module
- Curriculum designers checking that steps appear in the right order
Not for
- Topics where the mechanism or sequence has not been checked
- Images that hint at conclusions your sources do not support
- Replacing subject-expert, accessibility or the final teacher review
About this Skill

Paper layers with visible fibers and soft shadows give a process something to hold onto in class. You supply the topic, the takeaway, the checked sequence or classification, exact labels and units, and conclusions to avoid. The sample shows how a constructed wetland cleans water in three bands (the flow, a filter-bed cross-section, polluted versus restored) in teal, moss, sand and coral, with blank tabs for labels.
How it works
- Agree on the learners, the takeaway, the approved sources, the size and who reviews it
- Keep the checked steps as facts and log assumptions, rights and uncertain points apart
- Brief the paper layers, composition, exclusions and blank label areas for units and terms
- Once the brief passes review, call generate.mjs a single time with FAL_KEY and record the request ID
- Check for stray text, logos, misleading conclusions and wrong anatomy, then lay the exact labels over the art
- Export three different 16:9 WebP explainers and note every open question
Checked before delivery
- Every fact, value, label, relationship, citation and disclaimer shown agrees with the approved source ledger
- No source platform, author identity, model branding, outside logo, watermark, protected character or unlicensed asset
- Three distinct 16:9 review previews are present, readable and inspected by eye
- Unknowns stay visibly pending; a named person approves subject matter, rights, accessibility and delivery
What you need before you start
- You bring
- Approved science topic and what learners should take away · The checked mechanism, sequence or classification to show · Exact labels, units, sources and notes on what is still uncertain · Audience level, 16:9 layout and conclusions the image must not suggest
- Dependencies
- Your FAL account, with FAL_KEY set · Node.js 20 or later
- Outside costs
- FAL_KEY
- Last tested
- v1.0.0 — Claude Code / Codex / Cursor
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FAQ
Who decides how simple it is?
You do: audience level is one of the inputs, along with the takeaway and the conclusions the image must avoid.
Will the labels and units be correct?
The model draws none of them. Your exact labels and units go on in an overlay, and uncertain ones stay marked as pending.
What is handed over?
Three different 16:9 WebP explainers with the ledger, brief and task file.









