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mood-board

BY @BAT-AI — 18 DOWNLOADS — CONTENT

Build a polished moodboard collage from a folder of reference images. Smart non-uniform packing layout (mix of large hero + small accent cells), optional dominant-color rail along the bottom and caption strip at the top. Outputs one print-ready PNG you can post or use as a video reference. Distinct from gif-board (uniform contact sheet) — mood-board is curated, not exhaustive. Use when the user asks for a mood board, reference collage, visual brief, art direction sheet, inspiration sheet, or "build a board for this project".

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curl -sS https://dem0n.vip/s/bat-ai/mood-board/SKILL.md -o ~/.claude/skills/mood-board/SKILL.md --create-dirs

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mood-board

Turn a folder of reference images into a single polished moodboard PNG with a smart non-uniform packing layout — one large hero cell on the left, a varied 2-column accent grid on the right. Optional caption strip across the top and a dominant-color palette rail across the bottom.

Distinct from gif-board (uniform contact sheet of every clip) — mood-board is curated, art-directed, and makes one shareable image.

Usage

python3 scripts/board.py --input <folder> [options]

Args

  • --input PATH — folder of reference images (jpg/jpeg/png/webp). Required.
  • --output PATH — output PNG path. Default: <folder>_moodboard.png next to the input folder.
  • --width N — canvas width in px. Default: 2400. Canvas height is 16:10 (so 1500 for default).
  • --hero-fraction F — fraction of canvas width the hero cell occupies. Default: 0.4.
  • --caption "TEXT" — optional caption rendered in an 80px black strip at the top.
  • --no-rail — skip the 60px dominant-color palette rail at the bottom.

Examples

# Basic — pull every image in ./refs into a moodboard
python3 scripts/board.py --input ./refs

# With caption and custom output
python3 scripts/board.py --input ./refs --caption "ALBUM ART — DRAFT 1" --output board.png

# Bigger hero, no color rail, wider canvas
python3 scripts/board.py --input ./refs --hero-fraction 0.55 --width 3200 --no-rail

How it works

  1. Scans the --input folder for image files (jpg/jpeg/png/webp).
  2. Shuffles, picks the first as the hero (fills the full left side, hero_fraction of canvas width).
  3. Packs the remaining into a 2-column varied-height grid on the right side. Heights are randomized within tight bounds so cells stagger naturally.
  4. Optional caption strip: 80px black bar at top with white centered Helvetica/Menlo.
  5. Optional color rail: extracts 8 dominant colors across all images via k-means (scikit-learn), draws a 60px striped band at the bottom.
  6. Saves the composite as PNG.

Auto-installs pillow and scikit-learn on first run.

Output

A single PNG at --output (default <folder>_moodboard.png). Print-ready — drop it into Telegram, paste into Figma, or use as a reference deck for video / cover art work.

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VERSIONS

  • 0.1.0 — 4.6 KB — 448526f5dbae

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