Minimal Zine Poster logo

Minimal Zine Poster

Community
boraoztunc
minimal-zine-poster

Compile a theme, sentence, object, mood, article idea, or photo into a quiet Japanese/Korean zine-style editorial poster — tall aged paper, large negative space, one small image anchor, experimental typography, one high-chroma accent, print/scan defects — then generate the image. Use when asked for a zine poster, a minimal editorial poster, a paper-texture poster, a riso/xerox/letterpress poster, cover art for an essay or newsletter, or a poster "in that quiet Japanese zine style."

Overview

Publisherboraoztunc
Repositoryskills
Skill nameminimal-zine-poster
Stars
422
Forks
63
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by boraoztunc on GitHub. Read the source before you install it.

Installation

Install the Minimal Zine Poster AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/boraoztunc/skills/tree/main/minimal-zine-poster
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/boraoztunc/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/minimal-zine-poster .claude/skills/minimal-zine-poster
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Minimal Zine Poster in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Minimal Zine Poster on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Minimal Zine Poster is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Minimal Zine Poster

Turn the user's content into a compiled image prompt, then generate the image from it.

Two failure modes dominate this style, and every rule below exists to prevent one of them:

  • Density creep — the poster fills up and stops being a poster. Guarded by the negative-space and cluster-size ratios.
  • Accent washout — the model reads "minimal, aged, muted" and desaturates the one color that carries the image. Guarded by the Color Engine and the banned-wording list.

Prompt Compiler

Compile only what becomes pixels. Every prompt must answer these nine questions, in this order.

  1. Canvas — What is the output frame and base surface?

    • Tall vertical paper poster; full-frame aged paper; no border, no mockup.
    • Describe the surface, not the dimensions. The aspect ratio is set through the API, not the prompt text.
  2. Attention geometry — Where does the eye go, and how much is empty?

    • 70–90% plain paper. One visual cluster occupying 8–25%. Placed center, upper-middle, lower-middle, lower-left, or upper-right. Never edge-hugging.
  3. Image anchor — What is the one imageable subject?

    • Convert the theme into a single object, fragment, photo crop, specimen, cutout, silhouette, old printed illustration, texture window, or small conceptual relation. One idea, not a scene.
  4. Anchor treatment — What material process makes the anchor belong to the paper?

    • Grayscale photos and paper fragments may take low contrast, photocopy softness, torn edge, halftone, scanline, risograph grain, xerox wear, ink bleed, or slight misregistration.
    • Never apply low saturation or low contrast to the color anchor.
  5. Typography — How does text behave visually?

    • Small serif, typewriter, or monospaced type. One short readable phrase. Optional tiny date/location/weather and a signature. Semi-legible microtext or fragmented letters. Text may drift, press against the image edge, blur, or misregister.
  6. Color logic — What is the accent strategy?

    • See Color Engine below.
  7. Reproduction texture — What print/scan process defines the whole image?

    • Flat orthographic scanned-paper appearance; matte absorbent paper; diffuse light; low-to-medium contrast; no hard shadow; no 3D depth.
  8. Emotional temperature — What should the viewer feel before identifying the object?

    • Quiet, poetic, nostalgic, sparse, diary-like, archival, distant, memory-like. Japanese/Korean indie zine or minimal editorial.
  9. Hard avoids — See Negative Constraints.

Color Engine

One visibly saturated, opaque chromatic ink anchor. Everything else is paper, gray, and black.

  • Word it concretely: fully saturated cobalt-blue risograph ink, opaque ultramarine cutout, vivid pear-green flat silhouette, clean tomato-red printed block.
  • Prefer cobalt or ultramarine. Rotate through cyan, violet, magenta-pink, lemon yellow, pear green, orange, tomato red.
  • The high-chroma area occupies roughly 0.8–2.5% of the canvas, or 15–35% of the visual cluster. It must survive being viewed as a thumbnail.
  • Color can carry the subject itself. Prefer a colored tree, fruit, shell, flower, geometric cutout, window, or poster fragment over a gray object with one colored registration tick. Do not automatically reduce the accent to a dot or a hairline.
  • Keep paper, grayscale photo, microtext, and secondary marks subdued. Preserve saturation in the anchor even while adding grain, halftone, ink bleed, or misregistration.
  • Apply low contrast and muted grayscale only to paper, photos, and secondary ink — never to the whole image.
  • One main hue per image. A tiny second hue is allowed only if it supports the subject and doesn't make the poster read as commercial.

Banned wording unless the user explicitly asks for monochrome, muted, or pastel output: near-monochrome, no strong accent, pale accent, muted accent, faded accent, pastel accent.

For batches: at least 60% of images must use a colored subject, cutout, or block. The rest may use dots, hairlines, or colored type for rhythm.

Variation Engine

Before writing the prompt, pick one from each axis. Randomness must change visual grammar, not just position. If recent outputs used the same layout or anchor, choose differently.

Layout family — center-fragment · lower-left-float · upper-right-block · dual-panel · irregular-cutout · type-led · dot-orbit · single-specimen

Image anchor — tiny faded photo · torn-paper clipping · flat silhouette · solid color block · old printed illustration · object specimen · translucent geometric overlay · abstract texture window

Typography mode — fragmented floating letters · short phrase pressed against image edge · archive microtext with date/weather · diagonal scattered words · low-contrast gray ghost text · headline-as-object with rough letterpress · text inside a color block · almost textless, one tiny caption

Texture mode — xerox softness · risograph grain · letterpress ink bleed · halftone degradation · film grain · scan noise and paper fibers · aged paper mottling · soft motion blur on selected text

Mood — quiet · summer · solitude · childhood · seaside · afternoon · night · memory · slight surrealism

Prompt Shape

Four compact paragraphs:

  1. Canvas + paper + negative space + cluster size and location
  2. Subject metaphor + anchor type + anchor treatment
  3. Typography + accent strategy + print defects
  4. Flat-scan mood + avoid-list

In paragraph 3, state the exact hue, its material form, and its approximate visual share.

Decisive beats exhaustive. Say where the anchor sits, how big it is, how the text behaves, what the accent is, how the scan looks. A concrete imageable prompt outperforms a long style essay. Specify exact in-image text only when it earns its place — image models distort long strings.

Workflow

  1. Parse the content. Find the core subject, the mood, any exact text supplied, a possible visual metaphor, and the role of any reference image. For an article or complex argument, extract one central imageable idea — do not summarize the thesis. If no text is supplied, invent one short poetic phrase.

  2. Select a recipe. One pick per Variation Engine axis, then the hue via the Color Engine. Don't default to "tiny photo + blue dots + microtext" unless it genuinely fits. If the recipe gets dense, simplify typography or color treatment first.

  3. Compile the prompt into the four-paragraph shape.

  4. Generate the image — see below.

  5. Inspect at thumbnail scale. If the high-chroma anchor is absent, washed out, or reduced to an imperceptible mark, or if the poster obviously violates the recipe, tighten the prompt and regenerate once. Do not loop further; report what's still off instead.

  6. Return the image and the prompt.

Generating the Image

Run the bundled script. It writes a PNG and prints the absolute path.

bash
scripts/generate.sh "<compiled prompt>" [output-name]

The script uses Gemini 3 Pro Image and needs GEMINI_API_KEY in the environment. It renders 3:5 natively via aspectRatio, so do not restate pixel dimensions in the prompt — the canvas paragraph should describe the surface, not the resolution.

Images land in ./zine-posters/ under the current working directory unless the user names a path.

If the key is missing, the script exits with a message. Do not treat this as a task failure: return the compiled prompt and the recipe, state plainly that generation was skipped for lack of GEMINI_API_KEY, and note it can be set with export GEMINI_API_KEY=.... A prompt without an image is a partial result, and should be described as one.

Negative Constraints

Always avoid:

  • Full-bleed subject or scene
  • Commercial headline hierarchy, product ad layout, logo lockup, CTA, brand-campaign feeling
  • Clean digital UI background
  • Glossy paper mockup, heavy paper shadow
  • 3D rendering, cinematic lighting, hard shadows, depth of field, neon, cyberpunk
  • Cute cartoon, kawaii illustration, anime poster, fashion editorial drama
  • Too many objects, stickers, colors, captions, or decorative textures
  • High-resolution stock-photo realism
  • Long, clean, perfectly readable text blocks

Output Format

markdown
![Minimal zine poster](absolute-image-path)

**Prompt**

```text
[final prompt used for generation]
```

**Recipe** — layout / anchor / typography / accent / texture / mood

[one line on how the content was interpreted]

Quality Gate

Before finalizing:

  • Was a full recipe chosen — layout, anchor, typography, accent, texture, mood?
  • Is the structure materially different from recent outputs?
  • Does 70–90% read as bare paper?
  • Is the cluster roughly 8–25% of the canvas?
  • One visual metaphor, not an illustrated scene?
  • Does the anchor carry old-photo, clipping, print, scan, or specimen treatment?
  • Is typography part of the composition rather than a label on it?
  • One accent strategy only?
  • Is the high-chroma anchor visible at thumbnail size, at roughly 0.8–2.5% of canvas?
  • Did the prompt avoid the banned weakening words?
  • Did it avoid full-bleed, commercial, 3D, neon, cinematic, cartoon, and brand aesthetics?
  • Was the image actually generated — or was the skip explained?

Attribution

Adapted from LiamGvchi/gc-minimal-zine-poster (MIT). See NOTICE-liamgvchi.md in the repo root for changes made on adoption.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Minimal Zine Poster AI skill do?

Compile a theme, sentence, object, mood, article idea, or photo into a quiet Japanese/Korean zine-style editorial poster — tall aged paper, large negative space, one small image anchor, experimental typography, one high-chroma accent, print/scan defects — then generate the image. Use when asked for a zine poster, a minimal editorial poster, a paper-texture poster, a riso/xerox/letterpress poster, cover art for an essay or newsletter, or a poster "in that quiet Japanese zine style."

Why use Minimal Zine Poster on TypingMind?

Because you install it once and use it with any model. Minimal Zine Poster is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Minimal Zine Poster in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/boraoztunc/skills/tree/main/minimal-zine-poster. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Minimal Zine Poster?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Minimal Zine Poster?

As many as you like. As long as a model supports skills, you can use Minimal Zine Poster with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Minimal Zine Poster AI skill free?

Yes. It is published on GitHub by boraoztunc under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇