reaction-diffusion-poster

name	reaction-diffusion-poster
description	Create deterministic science-art visuals from Gray-Scott reaction-diffusion dynamics. Use when asked for Turing patterns, morphogenesis, dynamics art, reaction-diffusion simulations, or social-post-ready scientific images. Produces PNG posters, simulation data, captions, and a README by running a bundled Python renderer.
metadata	{"version":"1.0","skill-author":"Graph Explorer"}

Reaction-Diffusion Poster

Create social-post-ready science art from a real dynamical system. This skill is intentionally low freedom: run the bundled script instead of writing plotting code from scratch.

Required Workflow

1. Create or use the requested output directory, usually skill_output_<timestamp>_reaction-diffusion-poster.
2. Run:

python3 skills/reaction-diffusion-poster/scripts/make_reaction_diffusion_poster.py \
  --out skill_output_<timestamp>_reaction-diffusion-poster \
  --seed 42 \
  --preset labyrinth \
  --palette magma-cyan \
  --title "Morphogenesis From Local Rules" \
  --subtitle "Gray-Scott reaction-diffusion dynamics"

3. Verify artifacts exist before answering:

find skill_output_<timestamp>_reaction-diffusion-poster -maxdepth 2 -type f -print

4. Final answer must list exact artifact paths.

Presets

Use one of these values for --preset:

• labyrinth: interconnected Turing stripes; best default.
• spots: cellular dots and islands.
• coral: branching biomorphic growth.
• membranes: folded soft interfaces.
• veins: vascular channels and ridges.
• turbulence: high-contrast chaotic texture.

Palettes

Use one of these values for --palette:

• magma-cyan: dark scientific poster with cyan contour accents.
• biofilm: green-gold biological texture.
• noir-neon: black, violet, and electric blue.
• graphite-fire: graphite background with copper highlights.
• ice: pale blue morphology for clean slides.

Outputs

The script writes:

• reaction_diffusion_poster.png: 4:5 social post image.
• reaction_diffusion_poster_square.png: square crop for social feeds.
• reaction_diffusion_data.npz: compressed final fields and parameters.
• parameters.json: exact run parameters.
• caption.txt: short social caption.
• README.md: plain-language explanation.

If the user does not specify a seed, preset, title, or palette, choose:

seed=42
preset=labyrinth
palette=magma-cyan
title=Morphogenesis From Local Rules
subtitle=Gray-Scott reaction-diffusion dynamics

Do not claim success unless find lists the generated files.