How do I install the Reaction Diffusion Poster skill?

Run npx skillmds@latest add lamm-mit/reaction-diffusion-poster in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Reaction Diffusion Poster safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Reaction Diffusion Poster?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Reaction Diffusion Poster free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Reaction Diffusion Poster?

lamm-mit (@lamm-mit) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Reaction Diffusion Poster by lamm-mit

Name: Reaction Diffusion Poster
Author: lamm-mit

Reaction Diffusion Poster

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.

lamm-mit 3a7ee39 3 files · 13.6 KB Updated Sep 17, 2026

File contents

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

Create or use the requested output directory, usually skill_output_<timestamp>_reaction-diffusion-poster.
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"

Verify artifacts exist before answering:

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

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.

---name: reaction-diffusion-posterdescription: 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.---# Reaction-Diffusion PosterCreate 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 Workflow1. Create or use the requested output directory, usually `skill_output_<timestamp>_reaction-diffusion-poster`.2. Run:```bashpython3 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:```bashfind skill_output_<timestamp>_reaction-diffusion-poster -maxdepth 2 -type f -print```4. Final answer must list exact artifact paths.## PresetsUse 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.## PalettesUse 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.## OutputsThe 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:```textseed=42preset=labyrinthpalette=magma-cyantitle=Morphogenesis From Local Rulessubtitle=Gray-Scott reaction-diffusion dynamics```Do not claim success unless `find` lists the generated files.

Frequently asked questions