Flat Poster logo

Flat Poster

Organization
vm0-ai
flat-poster

Vertical flat-color editorial poster style — a single saturated solid background, one centered hand-drawn vector subject in bold deep-navy outlines with a strict two-tone fill (white + a slightly darker bg-tint accent), small floating accent marks, a bold rounded sans-serif headline pinned top-left, and an optional user-supplied wordmark pinned bottom-right. Portrait 2:3 canvas. Trigger when the user says /flat-poster, asks for a "flat-color editorial poster", a "brand benefit card", a "marketing card in the bold outline + flat color style", or briefs with a palette + subject + headline shape.

Overview

Publishervm0-ai
Repositoryvm0-skills
Skill nameflat-poster
Stars
76
Forks
18
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

    Published by vm0-ai on GitHub. Read the source before you install it.

Installation

Install the Flat 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.
  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/vm0-ai/vm0-skills.git /tmp/vm0-skills
mkdir -p .claude/skills
cp -r /tmp/vm0-skills/illustration-template/flat-poster .claude/skills/flat-poster
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flat 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 Flat 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 Flat 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.

/flat-poster — locked flat-color editorial poster style

This style produces vertical brand-marketing posters in a single locked recipe: one saturated flat background, one centered hand-drawn vector subject, a bold short headline pinned to the top-left, and an optional user-supplied wordmark pinned to the bottom-right. The visual frame never moves — only six creative dials swap between pieces.

Think Wisevest "core benefits" card meets early-Mailchimp app illustration: confident vector linework with just enough hand-drawn imperfection to feel warm, on a flat color field that does the emotional heavy lifting.

Prompt interpretation

The user will usually give a short brief — sometimes just a concept ("savings"), sometimes a concept plus a palette ("savings, mint background"), sometimes a full headline ("'Ship faster' on coral"). Your job is to turn that brief into a complete poster spec without pausing for clarification:

  1. Pick a hero subject from the brief — a single object, character, or scene element that visually carries the concept. One thing, never two.
  2. Choose a saturated background hex that matches the subject's mood (see palette families below).
  3. Write or refine the headline — 1–4 words per line, ≤ 3 lines total, deep-navy bold rounded sans-serif. Tight punchy phrasing.
  4. Use a wordmark only when supplied — place the user's short brand text in the bottom-right (keep ≤ 4 characters; longer names get garbled). Omit the wordmark when the user does not provide one.
  5. Pick accent marks — 1–3 categories of hand-drawn dust (dashes, dots, sparkles, curly trails, rays, plus signs, etc.) that fit the subject's emotional world.
  6. Pick a composition preset — where the subject sits on the canvas (centered-hero by default).

Bias toward subjects that are concrete and iconic: things you can name in one word. Avoid abstract diagrams, photographs, multi-character scenes, or text-heavy graphics.

Locked style axes (NEVER vary)

Canvas

  • Portrait 2:3, recommended 1024×1536 — vertical poster format
  • The flat color fills the entire canvas edge to edge — no border, no frame, no vignette, no horizon

Line quality

  • Hand-drawn vector outlines, deep-navy ink (~7px equivalent at 1024-wide canvas)
  • Slightly imperfect, organic — tiny gaps where some lines almost meet, never perfectly traced
  • Uniform stroke weight on each shape — no calligraphic taper, no pencil scratch

Fill

  • Strictly two-tone per shape:
    • Pure white as the main fill
    • One accent area filled in a slightly darker tint of the background hue
  • No third color, no shading, no gradients, no textures, no highlights, no halftone

Headline (top-left)

  • Bold rounded heavy sans-serif in deep-navy, set tight, stacked vertically
  • Pinned to the top-left corner with comfortable margin from the canvas edge
  • Short — typically 2–6 words, broken into 1–3 lines
  • Sentence case or all-caps both work; the style prefers sentence case with a strong terminal verb or noun

Wordmark (bottom-right)

  • Optional; include only a wordmark supplied by the user
  • Same deep-navy sans-serif as the headline, smaller
  • Pinned to the bottom-right corner
  • Keep supplied text to a short 2–4 character brand acronym

Accent marks

  • Floating around the subject, never overlapping its silhouette
  • Drawn in the same deep-navy ink at lighter visual weight
  • Vocabulary: dashes (motion lines), dots (sparkle / atmosphere), 4-point sparkle stars, curly trails / spirals, light rays, arrows, plus signs, tiny clouds, steam puffs
  • 4–10 marks total — sparse but alive
  • Pick 1–3 categories per piece; never the full vocabulary at once

What is NOT in the canvas

  • No body copy, no caption line, no subtitle, no tagline, no date, no signature, no disclaimer
  • No second illustration, no border frame, no patterned background

Variable axes (the six dials)

These are the only things that should change between pieces.

#DialWhat it controlsExample values
1PaletteThe single saturated hex filling the canvas + its darker tint accentwarm-bright coral #F4A07A · sunny yellow #F4D35E · warm-soft dusty rose #E8A8B8 · terracotta #D08770 · cool-bright sky blue #7FB8E3 · electric mint #9FE0B5 · cool-soft soft lavender #C5B8E0 · soft sage #A8C8A1 · punchy magenta #D8508A · ultramarine #5A6BD8 · warm mustard #E5B341
2Subject archetypeThe hero illustration sitting on the canvastool/object · vehicle/motion · nature/organic · symbol/diagram · character · scene
3CompositionWhere the subject sits on the canvascentered-hero · off-axis-diagonal · grounded-baseline · layered-scene · close-up-crop · floating-cluster
4Accent marks1–3 categories of hand-drawn dustdashes · dots · sparkle stars · curly trails · rays · arrows · plus signs · steam puffs
5Headline voiceThe phrasing register of the top-left textimperative verb · aspirational · declarative noun · three-beat list · question · whisper
6MoodThe emotional register woven into subject + palette choiceplayful · bold · calm · epic · curious · steady

Palette families (full reference)

  • Warm-bright — coral, peach, sunny yellow, butter, terracotta
  • Warm-soft — dusty rose, blush, sand, mustard
  • Cool-bright — sky blue, electric mint, periwinkle, teal
  • Cool-soft — soft lavender, sage, fog, pistachio
  • Punchy — magenta, vermilion, lime, ultramarine

Subject archetypes (with examples)

  • Tool / Object — piggy bank, briefcase, key, magnifier, telescope, hourglass, ladder, cup, scissors
  • Vehicle / Motion — rocket, paper airplane, hot-air balloon, sailboat, train, bicycle
  • Nature / Organic — sprouting plant, mountain, tree, cloud + sun, wave, flower
  • Symbol / Diagram — bar chart, arrow loop, target, shield, trophy, gear, checkmark, lightbulb
  • Character — robot, animal mascot, anthropomorphic blob, hand
  • Scene — interior (desk + lamp + plant), landscape, miniature world

Composition presets

  • centered-hero — single subject mid-canvas, generous whitespace (default)
  • off-axis-diagonal — subject angled diagonally, suggesting motion
  • grounded-baseline — subject sits on implied floor near lower-third
  • layered-scene — foreground prop + main subject + background accent
  • close-up-crop — subject fills ~70 % of canvas, more graphic
  • floating-cluster — two or three small related objects in loose orbit

Headline voice presets

  • Imperative verb — "Ship faster", "Save smart", "Look closer", "Move quietly"
  • Aspirational — "Reach higher", "Start your future", "Build what's next"
  • Declarative noun — "Your AI teammate", "The new workday", "Less inbox"
  • Three-beat list — "Co-own. Invest. Succeed.", "Plan. Ship. Repeat."
  • Question — "Why wait?", "What's next?"
  • Whisper — "Quietly capable", "Always on" — short, low-key, subtitle feel

Mood ↔ palette pairing hints

  • Playful / friendly → coral, sunny yellow, mint
  • Bold / energetic → coral, magenta, electric blue
  • Calm / cozy → sage, lavender, sand
  • Epic / aspirational → dusty rose, periwinkle, navy-soft
  • Curious / discovery → mustard, teal, terracotta
  • Steady / trustworthy → sage, navy, slate

Brief template

When generating, expand the user's input into this internal brief before describing the image:

Palette:      <single saturated hex, friendly name>
Subject:      <one specific object/character with pose and detail>
Composition:  <one of the six presets>
Accents:      <1–3 accent categories>
Headline:     <short phrase, 1–3 lines, deep-navy bold sans-serif, top-left>
Wordmark:     <user-supplied 2–4 char brand, deep-navy bold sans-serif, bottom-right; omit if none>
Mood:         <one short phrase>

Generation guidance

Models with strong typography and clean flat-vector handling (e.g. gpt-image-2) produce the most reliable output here. When briefing the model:

  • State explicitly that the canvas is portrait 2:3, with the flat color filling edge to edge.
  • State explicitly that the only text on the canvas is the top-left headline plus the user-supplied bottom-right wordmark when present — no captions, no body copy, no subtitle.
  • State explicitly that the fill is two-tone: pure white + one darker tint of the background.
  • State explicitly the stroke style (deep-navy, ~7px, hand-drawn with tiny gaps).
  • Name the accent vocabulary explicitly — models otherwise default to generic stars / sparkles everywhere.
  • When a wordmark is supplied, keep it short (2–4 chars). Longer brand names get garbled regardless of model.

If the model adds extra body text, regenerate or reduce the subject brief to make room.

Worked examples

Seven reference pieces below — each holds the locked frame and varies the six dials. The first four are the VM0 launch set; the last three demonstrate the calm / curious / steady mood quadrants.

Example 1 — rocket · coral · "Ship faster" (bold + off-axis)

rocket · coral · Ship faster

  • Palette: warm-bright coral #F4A07A
  • Subject: cartoon rocket ship pointed diagonally up-right
  • Composition: off-axis-diagonal
  • Accents: curly dashed motion trail + sparkle stars
  • Headline: "Ship faster" (imperative)
  • Mood: bold / energetic

Example 2 — lightbulb · sky blue · "Think bigger" (curious + centered)

lightbulb · sky blue · Think bigger

  • Palette: cool-bright sky blue #7FB8E3
  • Subject: lightbulb tilted slightly, filament loop visible
  • Composition: centered-hero
  • Accents: dashed light rays + 4-point sparkle stars + scattered dots
  • Headline: "Think bigger" (imperative)
  • Mood: curious / discovery

Example 3 — mountain · dusty rose · "Reach higher" (epic + grounded)

mountain · dusty rose · Reach higher

  • Palette: warm-soft dusty rose #E8A8B8
  • Subject: mountain peak with a small triangular summit flag
  • Composition: grounded-baseline
  • Accents: spiral dashed trail + scattered dots
  • Headline: "Reach higher" (aspirational)
  • Mood: epic / aspirational

Example 4 — robot · sunny yellow · "Meet your AI teammate" (playful + grounded)

robot · sunny yellow · Meet your AI teammate

  • Palette: warm-bright sunny yellow #F4D35E
  • Subject: friendly cartoon robot with antennae, square head, simple eyes
  • Composition: grounded-baseline
  • Accents: plus signs + dashes near the antennae + scattered dots
  • Headline: "Meet your AI teammate" (declarative noun)
  • Mood: playful / friendly

Example 5 — tea cup · soft lavender · "Take a beat" (calm + centered)

tea cup · soft lavender · Take a beat

  • Palette: cool-soft soft lavender #C5B8E0
  • Subject: ceramic tea cup with saucer and three curly steam wisps rising
  • Composition: centered-hero
  • Accents: curly steam wisps + scattered dots + tiny sparkle near rim
  • Headline: "Take a beat" (imperative, gentle)
  • Mood: calm / cozy

Example 6 — magnifier · warm mustard · "Look closer" (curious + close-up)

magnifier · warm mustard · Look closer

  • Palette: warm-soft mustard #E5B341
  • Subject: large magnifying glass tilted 30°, lens framing a tiny question-mark
  • Composition: close-up-crop
  • Accents: short dashed rays from the lens + dots + one sparkle on the rim
  • Headline: "Look closer" (imperative)
  • Mood: curious / discovery

Example 7 — shield · soft sage · "Always on" (steady + centered)

shield · soft sage · Always on

  • Palette: cool-soft soft sage #A8C8A1
  • Subject: heraldic shield with a bold center checkmark, two leaves sprouting from the top
  • Composition: centered-hero
  • Accents: small dot halo + short dashes near the leaves
  • Headline: "Always on" (whisper / declarative)
  • Mood: steady / trustworthy

Iteration tips

  • Headline overflows or wraps awkwardly — shorten to ≤ 2 words per line, ≤ 3 lines total.
  • Wordmark misspelled — keep to 2–4 characters; longer names garble across all current models.
  • Outline too thin or papery — emphasize "very thick deep-navy outlines, no fine interior detail" in the subject brief.
  • Background not saturated enough — bump the hex one step deeper (e.g. #A5A8E0#8A8FE0).
  • Model adds an unwanted body caption — restate the no-extra-text constraint and regenerate; usually clears on retry.
  • Accent marks crowd the subject — drop to a single accent category; the style breathes better at lower density.
  • Two-tone fill drifts into multiple tints — restate "strictly two-tone: pure white + one darker bg-tint, no third color".

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 Flat Poster AI skill do?

Vertical flat-color editorial poster style — a single saturated solid background, one centered hand-drawn vector subject in bold deep-navy outlines with a strict two-tone fill (white + a slightly darker bg-tint accent), small floating accent marks, a bold rounded sans-serif headline pinned top-left, and an optional user-supplied wordmark pinned bottom-right. Portrait 2:3 canvas. Trigger when the user says /flat-poster, asks for a "flat-color editorial poster", a "brand benefit card", a "marketing card in the bold outline + flat color style", or briefs with a palette + subject + headline shape.

Why use Flat Poster on TypingMind?

Because you install it once and use it with any model. Flat 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 Flat Poster in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vm0-ai/vm0-skills/tree/main/illustration-template/flat-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 Flat 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 Flat Poster?

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

Is the Flat Poster AI skill free?

It is published on GitHub by vm0-ai. Check the repository for licensing terms. 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.

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