/reimagine-it infographic
SkillFiles & storageContent-derived infographic poster — reads the source file and builds a statistical poster from the facts already in it. Not a dashboard, not a CV, not an AntV template. Uses common-scale encodings (Cleveland–McGill floor), ISOTYPE unit counts (Neurath), custom data glyphs (Lupi/Fragapane), and a lossless data table. Palette, glyphs, and composition are derived from the source's own content. No pies, donuts, gauges, 3D charts, or fabricated KPIs. Part of the reimagine-it Content-Derived Design suite.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /reimagine-it infographic skill
What this skill tells your AI
The instructions your AI receives, as published by kayforkind/reimagine-it in skills/reimagine-it/infographic/SKILL.md and read by ahel’s review.
Parent: ../SKILL.md — the full Content-Derived Design engine. Research pack: ../references/research/infographic-craft.md — 15-source infographic method (Cleveland–McGill, Tufte, Bertin, ISOTYPE, Minard/Snow, Cairo, Lupi, FT Visual Vocabulary, USWDS, WCAG charts, InfoAlign layouts). Domain pack: ../references/domains/infographic.md — the infographic domain non-negotiables.
Builds a statistical poster of facts already in the source — not an ops dashboard, not a CV, not an AntV template clone.
Hard non-negotiables
- Cleveland–McGill perceptual ranking. Position along a common scale > length > angle > area > volume > color saturation. Encode the most important comparisons as positions, not pies.
- ISOTYPE unit counts when the data is discrete countable things (Neurath: one pictogram = N units, repeated, not scaled).
- Custom glyphs from the source. Lupi/Fragapane pattern — draw a visual alphabet from the data itself (leaves, braids, snakes, whatever the content demands), not generic bar/pie/donut.
- Lossless data table. Every chart has a companion table; the infographic is a supplement to the data, not a replacement.
- No pies, donuts, gauges, or 3D charts. Pie charts rank last in Cleveland–McGill; donuts are pies with the center punched out (worse); 3D distorts perception.
- No fabricated KPIs. Every number on the poster comes from the source, not extrapolated or invented.
Structure router
Before drawing, sniff the source and lock a structure:
| Structure | When | InfoAlign scenery |
|---|---|---|
list | Unordered peers | grid, star |
sequence | Steps / dated beats | portrait, landscape |
hierarchy | Tree / nesting | portrait |
compare | Two+ groups | portrait-grid |
values | Magnitudes | portrait-grid |
relation | Nodes + edges the source names | spiral |
Do not default to gold Texas (sequence+compare on portrait-grid). Derive from THIS source.
Procedure
- Load ../references/research/infographic-craft.md and ../references/domains/infographic.md.
- Extract anchors from the source (3–5 concrete nouns, dates, numbers).
- Route the structure (list/sequence/hierarchy/compare/values/relation).
- Pick InfoAlign scenery (grid/star/portrait/landscape/portrait-grid/spiral).
- Derive palette from source content (≤ 5 colors).
- Build a custom visual alphabet from one datapoint.
- Encode comparisons using common-scale positions (not pies).
- Include a lossless data table below the poster.
- Verify: every number traceable to source, no fabricated KPIs, no AntV template chrome.
Must not
- Clone gold Texas infographic's scenery or poster chrome onto a different source
- Use a pie chart, donut, gauge, or 3D chart
- Invent statistics the source does not contain
- Use AntV/Looker/Datawrapper templates
- Skip the structure router and default to portrait-grid
- Ship without a lossless data table
Signals
- GitHub stars
- 139
- Forks
- 26
- Last commit
- Sep 2026
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reimagine-it-infographic- Source
- github.com/kayforkind/reimagine-it