Devesh-Shirsath/spotkit

A Claude Code skill that turns a feature description into a clean, abstract product illustration — as real SVG, not a picture of one.

_{Twelve features, twelve layouts, one set of rules —
and the same twelve files in both themes, from twelve CSS variables.}

You say:

Create an illustration for API version management.

You get a concept, a metaphor, and a production-ready SVG that looks like it belongs to everything else you've made.

These aren't marketing illustrations. They're abstractions of an interface — what a feature looks like if you keep its most recognisable parts and throw away the other 90%.

Abstract the interface, not the idea.

A good one makes someone think "I understand what this feature does." Never "that's a screenshot of the product."

Claude Code

git clone https://github.com/Devesh-Shirsath/spotkit.git \
  ~/.claude/skills/spotkit

Restart Claude Code and just ask. The skill picks itself up whenever you mention feature illustrations, spot illustrations, empty states, or an illustration set for a product.

Codex

git clone https://github.com/Devesh-Shirsath/spotkit.git \
  ~/.agents/skills/spotkit

Restart Codex, then ask — or call it by name: $spotkit an illustration for audit logs.

Any other agent — clone the repo into your project and ask it to follow SKILL.md. AGENTS.md tells it what to read and what to skip.

Claude.ai — Settings → Capabilities → Skills → upload a zip of this repo. Re-upload it whenever the repo changes; an old upload keeps the old rules.

ChatGPT, or any chat tool — make a Project (or a custom GPT), upload SPEC.md, references/icons.md and references/examples.md to it, and paste the standing instructions below into its instructions. Uploaded files beat links: a chat tool may skim a link, or not open it at all.

The same rules for every tool, so they all draw the same family:

You make Spotkit illustrations: minimal, abstract SVG product illustrations
that follow SPEC.md exactly.

1. Write SVG code by hand. Never use image generation.
2. Adapt, don't invent. Pick the nearest of the twelve layouts in SPEC.md §7,
   start from its example file, keep its geometry (panel, backdrop, float,
   card sizes and positions) and change only the content: the icon, what sits
   inside the cards, how many rows. Invent a new composition only if none of
   the twelve fits, and say so.
3. Never improvise a value. Every number, colour and snippet comes from
   SPEC.md: one stroke width (0.5), one stroke colour (var(--il-line)), one
   shadow, the fade mask, var(--il-*) colours.
4. Centred on x=80 and square. Few, large elements: nothing that carries
   meaning is smaller than 9 units.
5. Icons are filled Phosphor paths from icons.md. Never draw or stroke a glyph.
6. Before answering, go through SPEC.md §9 and fix whatever fails.

Reply with: feature interpretation, metaphor, which layout it adapts,
primitives, then the SVG.

No dependencies. Python 3 only — to regenerate, or to run check.py.

Open examples/gallery.html in a browser — twelve illustrations, light and dark, from the same twelve files.

This style is pure geometry: hairline strokes, exact radii, repeated placeholder bars, one icon family. Diffusion models are weak at all of it, and weakest at the thing that matters most — twenty illustrations that look like one family.

The model writes the SVG directly instead. The output is exact, themeable, editable, diffable, and identical in treatment across a whole set. A prompt-based fallback is included if you want it anyway.

your feature description
      ↓
what does it actually do?
      ↓
what relationship is it about?      grouping · connecting · gating
      ↓                             packaging · reviewing · sequencing
2–5 UI primitives that carry it
      ↓
a layout — chosen from the prompt, not from habit
      ↓
SVG, themed by CSS custom properties
      ↓
a quality checklist

Picked by meaning and by how many elements the idea needs — never by rotation.

They come from independent choices — where the floating element sits, what it is, how content is arranged, how the panel is framed — so the real space is much larger than twelve.

Monotony is the failure mode of this style. A set where every piece is "header card, then rows" reads as one image twelve times, however clean each one is. The skill budgets layout reuse, caps full-width headers at two per twelve, and checks each illustration against its neighbours.

Twelve CSS custom properties. One file serves light and dark — never ship two.

:root {
  --il-canvas:  #EDEAE6;   --il-ghost:   #EAE7E2;   --il-panel: #F7F5F2;
  --il-surface: #FFFFFF;   --il-line:    #B9B1A4;   /* every stroke, width 0.5 */
  --il-stroke:  #35322D;   --il-fill:    #DCD6CE;   --il-accent: #3E9077;
}

Change three values, rerun build.py, the whole set rethemes.

Inline the SVG to theme it. CSS custom properties don't cross into <img src="…"> or <object> — those show the fallback palette forever and never follow dark mode. If you must use <img>, use the pre-flattened files in examples/flat/.

If several illustrations share a page, suffix every id in each (fade-teams → fade-teams-1) or their masks and filters cross-apply.

Copy the contents of any file in examples/flat/light/ and paste onto a Figma canvas — you get editable vector layers. Use the flat files, not the themed ones; Figma doesn't run CSS either, so a themed file pastes as black shapes.

Figma discards SVG filters on import, so the drop shadow won't come across — re-apply it as a Figma effect on the one floating layer.

python3 check.py my-feature.svg

Catches the defects that fail silently: a second stroke width or colour, more than one shadow, a background rect, text, unsuffixed ids, a moved fade line. Works on output from any model.

python3 build.py         # rewrites examples/, the gallery and references/icons.md
python3 flatten.py       # rewrites the flat exports and contact sheets
python3 check.py --docs  # fails if any doc disagrees with build.py

Every constant lives in the GEO dict at the top of build.py. Change one and all twelve move together — which is the operation you'll want most, and the one that's most error-prone by hand.

SKILL.md                  entry point and workflow
SPEC.md                   every number, the template, one full example — start here
AGENTS.md                 what an AI agent should read, and skip
references/
  icons.md                paste-ready Phosphor paths (generated)
  examples.md             the twelve layouts as SVG templates, one file (generated)
  metaphor.md             feature → concept, ~24 worked SaaS examples
  archetypes.md           the twelve layouts and the choices behind them
  primitives.md           verified geometry + copy-paste SVG library
  theme.md                tokens, light/dark, accent rules
  scaling.md              96px icon through 720px hero
  screenshots.md          abstracting a real product screenshot
  sets.md                 producing and extending a family
  checklist.md            pre-delivery quality gate
  image-prompt.md         fallback path for image models
assets/illustration.css   drop-in token definitions
examples/                 twelve illustrations, flat exports, contact sheet
build.py · flatten.py     generators — every constant in one place
check.py                  linter for illustrations and for the docs
icons.py                  embedded Phosphor geometry

Worth stating rather than having you discover:

• The metaphor test isn't enforced. The checklist says cover the icon — can a stranger still describe the relationship? Nothing forces a run to apply it. In testing, two prompts in ten produced illustrations that lean on their icon to be legible.
• One style preset. The dial system — elevation, edge treatment, overhang, corner language, stroke weight, icon style, palette, density — is documented, but only one combination ships. A second is additive; nothing in the method changes.
• The 0.5 stroke has a floor. Below roughly 96px display width it drops under half a device pixel and antialiases away. At those sizes, drop the hairlines and let fills carry the composition.
• Figma import loses shadows. See above.

Product and UX designers, frontend developers, SaaS founders, design system and docs teams — anyone who needs feature illustrations, empty-state graphics or a coherent illustration family for a whole product, and doesn't want to draw twenty of them by hand.

Spotkit was built by Devesh Shirsath, a product designer working on developer tools and API documentation.

Portfolio · LinkedIn · GitHub · Instagram

Icons are Phosphor (MIT), regular weight — filled paths on a 256 grid, so fill them rather than stroking.

The shipped style was derived by measuring a real production illustration family, rebuilding it from first principles, and verifying by rendering and comparison. Aesthetic direction was informed by contemporary bento-grid layouts. Your own direction can differ on every visual dial — the method is what transfers.

MIT licensed. Contributions welcome, especially new layouts and new style presets.