Academic figure prompt pastel

Skill Azhi-ss/academic-figure-skills/academic-figure-prompt-pastel

AI skills for academic paper figures: repo analysis, figure planning, colorblind palettes, JSON figure specs. Install: npx skills add Azhi-ss/academic-figure-skills

Install

npx -y skills add Azhi-ss/academic-figure-skills --skill academic-figure-prompt-pastel

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Pastel airy figure prompts for modern ML papers — ICLR/NeurIPS/ICML soft-panel style with tokens, pills, and rounded type. Use when the user wants pastel academic figures, 现代ML论文配图, or 2024-2025 conference airy aesthetics.

SKILL.md

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Academic Figure Prompt — Modern ML Airy Style

English image prompts in the soft pastel style common in recent ICLR / NeurIPS / ICML figures.

Missing info: → ../docs/missing-info-policy.md
Classic JSON specs: use academic-figure-prompt instead.

Airy rules (all must hold)

White canvas + white panels + soft shadow
Canvas #FFFFFF. Panels #FFFFFF, ~20px radius, shadow 3px blur / 1px y / rgba(0,0,0,0.06). Separation by shadow only — no grey panel fills, no gradient canvas.
Rounded geometric sans
Nunito / Poppins / Quicksand / Comfortaa. Titles 600–700 ~16–18pt; body 400 ~10–11pt; math italic serif.
Packed, not sparse
Panels filled with tokens, curves, formulas, icons; 8–12px micro-gaps; ordered density without overlap or text walls.
Floating elements
Content sits on the panel surface. Pills for concept names. No box-in-box nesting.
Color via tokens, text, and curves
Panels stay white. Color lives in 10–14px rounded tokens (pastel fill + 1px darker border), semantic text (coral/teal/purple/green), curves, and dots.

Pastel schemes

id	name	tokens	emphasis text
P1	Warm ML	`#FFD0D0` `#BBDEFB` `#FFF3C4` `#E1BEE7` `#C8E6C9`	`#E05555` `#1A9988` `#6A5ACD` `#3A8F3A`
P2	Cool Research (default)	`#B3E5FC` `#C5CAE9` `#CFD8DC` `#B2DFDB` `#D1C4E9`	`#1565C0` `#3949AB` `#00897B`
P3	Earthy Warm	`#FFE0B2` `#D7CCC8` `#C8E6C9` `#E0E0E0` `#EFEBE9`	`#6D4C41` `#827717` `#2E7D32`

Decision: user → scene (modern ML → P2; playful → P1; natural/robotics → P3) → default P2. Full classic-vs-pastel and venue recipes: ../docs/palettes.md (Style family first + pastel map). If the user wants box-border Nature/CVPR classic, route to academic-figure-prompt instead.

Input / Output

Prefer: figure type, content, pastel preference, reference image, labels
Minimum: type + subject
Output Prompt Package: Chinese name, type, full English prompt, scheme + key hex, style note, completeness block

Steps

Step 1: Ground content

Extract modules, flows, symbols from available material.

Done when: content list is sourced or placeholder-tagged.

Step 2: Choose pastel scheme

Apply decision order; state branch.

Done when: P1/P2/P3 (or custom) fixed with token + emphasis hex.

Step 3: Layout

2–5 panels sized by content (asymmetric OK). ~20px panel gaps. Prefer content-driven layouts over forced 2×2 symmetry.

Done when: panel count and roles are listed.

Step 4: Write prompt

Layers:

Global: airy ICLR/NeurIPS style, white canvas/panels, rounded font, packed density, no nested boxes
=== PANEL: name === blocks with floating tokens / pills / curves / formulas
=== STYLE SPECIFICATIONS === with scheme hex

Color carriers:

carrier	form
token	`soft blue #BBDEFB square with 1px #90CAF9 border, "s₁"`
colored text	`bold coral #E05555 text "Exciter"`
pill	`faint green-tinted pill badge "Random Forest"`
curve	`sigmoid in warm amber #DAA520`
dots	tiny category circles

Done when checklist passes:

pure white canvas and panels
rounded font named
packed micro-spacing (8-12px)
soft panel shadows (rgba(0,0,0,0.05))
no nested boxes
tokens have borders
scheme hex present
weight status encoded via pill tags ([Fixed] vs [Trainable]) or dashed/solid borders (NO emojis)
negative constraints explicit: NO emojis, NO lock/fire/lightning icons, NO 3D rendering

Stop

Stop when the Prompt Package is delivered, or type+subject are both missing.