Folk Storybook logo

Folk Storybook

Organization
vm0-ai
folk-storybook

Folk-art children's picture-book illustration style — hand-painted gouache/watercolor scene on aged paper, anthropomorphic animal characters with closed-crescent-eye smiles, dusty muted folk palette, decorative pattern surfaces (wallpaper, rugs, textiles), and a hushed lullaby mood. Trigger when users ask for a folk-art illustration, storybook scene, cozy animal illustration, or any new piece in this Eastern European picture-book style.

Overview

Publishervm0-ai
Repositoryvm0-skills
Skill namefolk-storybook
Stars
76
Forks
18
Bundled files
3
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.

  • 3 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 Folk Storybook 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/folk-storybook .claude/skills/folk-storybook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Folk Storybook 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 Folk Storybook 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 Folk Storybook 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.

Folk Storybook Illustration

Use this register-only image style when the user asks for a folk-art children's picture-book illustration, a cozy storybook scene, an anthropomorphic animal vignette in a folk-art palette, or any new piece in this hand-painted Eastern European picture-book style.

This style is distinct from Notion Illustration (which is line-only ink) and vm0 Illustration (which is line-art product spot). Folk Storybook is a fully-painted scene with patterned surfaces, soft characters, and lived-in interior or outdoor mood.

Bundled reference imagery — three canonical outputs that demonstrate the framework in action:

  • ref-reading-nook.jpg — Charcoal tabby cat curled in a dusty-slate-blue armchair reading a tiny book, sage-green lamp, cream star pillow, dusty-blue wallpaper with cream florets. Establishes the default cool-folk palette (dusty blue dominant, oatmeal cream + muted sage support, tiny warm accents only) and the cozy-interior L2 archetype.
  • ref-puzzle.jpg — Long-haired calico cat (cream + caramel + charcoal patches) belly-down on a folk-pattern rug working on a jigsaw puzzle. Demonstrates cast rotation — a completely different character from the reading-nook scene, no scarf, looser posture. Same palette discipline; different wallpaper motif (cream berry-and-leaf sprigs).
  • ref-chill-tussle.jpg — Tuxedo cat + scruffy brown terrier mid-tumble, paws raised, tail puffed, fur tufts drifting, knocked-over star pillow, unspooled yarn. Demonstrates the chill-face rule under action: both characters keep closed crescent eyes + soft smiles even while wrestling. All energy lives in the body posture and scene props, never in the face.

Locked Style Fundamentals (never vary)

AxisSpec
MediumHand-painted gouache + watercolor on aged paper
TextureVisible brushwork and paper grain across every surface
LineworkSoft hand-drawn outlines, no harsh black ink, no vector cleanness
Shape languageFlat painterly fills with subtle hand-painted shading; slightly naive composition
Character faceClosed crescent eyes + small soft content smile on every character, every scene
SensibilityEastern European folk picture-book; hushed, lullaby-like, slightly dreamy

The chill-face rule (critical)

The closed-crescent-eye smile applies to every scene, including action beats (tussles, chases, splashes, dances). Do not relax it. Express the action entirely through:

  • Body posture — paws raised, tail puffed, ears tilted, mid-tumble silhouettes
  • Scene props — knocked-over pillows, fur tufts drifting, unspooled yarn, scattered toys
  • Composition — motion implied by overlap and lean, not by facial alarm

Allowed face variants: closed eyes / one slightly cracked open / soft half-lidded sleepy look. Forbidden: wide-open alert eyes, open shouting mouths, visible teeth, frenzy. If the brief is an action moment, explicitly restate "closed crescent eyes, soft content smile" in the model prompt — without that restatement, the model will default to opening eyes for excitement.

Variable Axes (brief dials)

Every invocation declares values for these eight axes. The locked fundamentals above stay fixed regardless.

1. Palette — temperature × saturation

  • Temperature: cool-leaning ↔ neutral ↔ warm-leaning
  • Saturation: faded pastel ↔ muted lived-in ↔ moderately saturated folk
  • House default (cool folk): dusty slate blue + oatmeal cream + muted sage, with warm tones (caramel, mustard, rust) as small accents only — never as dominant surfaces
  • Alternates: warm folk (terracotta + cream + mustard + honey); soft pastel (blush + powder blue + butter)
  • Distribution rule: declare dominant (~60%) / secondary (~30%) / accent (~10%). If output drifts too warm, demote warm tones from wallpaper/chair surfaces to small props only.

2. Scene archetype

  • Cozy interior — bedroom, reading nook, kitchen, playroom, bath
  • Outdoor folk — picnic, garden, meadow, orchard
  • Seasonal — autumn harvest, winter hearth, spring bloom

3. Character cast (rotate per scene)

  • Species: cat, fox, bear, mouse, owl, rabbit, dog, hedgehog
  • Coat (cats as example): charcoal tabby, ginger, cream buff, black, calico, tuxedo, grey silver, long-haired, siamese
  • Anthropomorphism level: bare animal / small accessory (scarf, bow) / full clothing (dress, vest)
  • Count: solo / pair / group of 3+
  • Rule: rotate cast per scene. Never reuse the same character across a series unless the user explicitly asks for mascot continuity. The series gets its charm from a varied cast, not one character relabeled into different rooms.

4. Activity

Reading, sleeping, baking, picnicking, gardening, gazing out a window, sharing a meal, playful tussle, splashing in a puddle, decorating, etc.

5. Complexity (prop density)

  • L1 — character + 1-2 props (single chair, window)
  • L2 — character + 3-5 props building a room (chair, lamp, plant, side table, picture)
  • L3 — full storybook scene with patterned wallpaper, multiple textiles, framed pieces, decorative borders

6. Pattern density

  • Surfaces eligible for pattern: wallpaper, quilt, cushion, rug, lampshade, clothing
  • Motif vocabulary: small repeating florets, stars, herringbone, stripes, folk leaves, tulips, berries, sprigs
  • Density: sparse (one surface) / moderate (two surfaces) / dense (everywhere)
  • Variation rule: pick a different motif per scene when building a series, to avoid wallpaper fatigue.

7. Mood / time of day

Hushed evening (warm lamp, dark window with crescent moon) / bright morning / quiet afternoon / dreamy nighttime.

8. Format

  • Square spot (1024×1024) — default
  • Landscape spread
  • Portrait cover

Prompt template

Once the locked fundamentals are honored, an invocation is one line per axis. Have the model render this brief into a full painted scene.

Palette:    cool-leaning, muted, dusty blue + cream + sage
Scene:      cozy interior — reading nook
Cast:       charcoal tabby cat, solo, cream scarf
Activity:   curled up reading a tiny book
Complexity: L2 (chair + lamp + side table + plant + framed picture)
Pattern:    dusty-blue wallpaper with cream/sage florets; cream pillow with stars
Mood:       hushed evening
Format:     1024×1024 square

When constructing the model prompt, weave the locked fundamentals back in explicitly. A good prompt opens with:

"A cozy folk-art children's storybook illustration of [activity and cast]. CRITICAL FACE RULE: every character has closed crescent eyes and a small soft content smile — chill, serene, almost sleepy expressions. No open eyes, no teeth, no frenzy. Action lives in posture and props, never in the face."

…then describes the cast, the scene, the palette distribution (dominant / secondary / accent), the wallpaper motif, and finally:

"Hand-painted gouache and watercolor texture with soft visible brushwork, flat shapes with subtle painterly shading, slightly naive and charming, like a vintage Eastern European picture book on aged paper. Soft hand-drawn outlines, no harsh black lines, gentle paper-grain texture throughout. Mood: [mood description]."

Worked example — puzzle scene (cool folk palette, calico cat)

A cozy folk-art children's storybook illustration of a soft cream-and-
caramel long-haired calico cat lying belly-down on a folk-patterned rug,
intently working on a jigsaw puzzle.

CRITICAL FACE RULE: closed crescent eyes, soft content smile, ears tilted
forward in lazy concentration. No open eyes, no teeth.

The cat has a cream base with caramel-orange and dusty-charcoal patches,
white chest and paws, fluffy long fur. One paw nudging a puzzle piece.

The puzzle is partially assembled showing a half-finished image of a
sunny meadow with a haystack. Loose puzzle pieces scattered on the rug.
A small wooden toy block in the corner. A pot of sage-green leaves on a
side table.

PALETTE — cool-leaning earthy folk palette. Dusty slate blue and oatmeal
cream lead; muted sage green supports; warm caramel and faded rust appear
only on the cat's patches and small rug accents.

The wallpaper is dusty blue with small repeating cream berry-and-leaf
sprigs. The rug is a folk pattern with cream, sage, and dusty rust bands.

Hand-painted gouache and watercolor texture with soft visible brushwork,
flat shapes with subtle painterly shading, slightly naive and charming,
like a vintage Eastern European picture book on aged paper.

Mood: quiet afternoon, gently absorbed, lazy.

Model guidance

This style is designed for narrative compositions with multiple props, characters, and patterned surfaces — the kind of scene a strong text-to-image model can compose in one pass from a detailed prompt. Recommended pairing: gpt-image-2 at high quality, square 1024×1024, with prompt enhancement disabled so the locked-fundamentals language reaches the model verbatim.

The bundled reference images (ref-reading-nook.jpg, ref-puzzle.jpg, ref-chill-tussle.jpg) are canonical outputs of this framework — provided for human style study and prompt authoring. They are not required as image inputs at generation time — the style transfers entirely through the detailed prompt language. If output drifts (paper grain too clean, palette too saturated, brushwork too smooth, faces too alert), tighten the prompt by re-emphasizing "gouache + watercolor on aged paper, visible paper grain, soft hand-drawn outlines, no harsh black lines" and (for action scenes) restate the chill-face rule — rather than reaching for image-to-image.

Quality checklist

Before delivering, verify:

  • Closed crescent eyes on every character (even mid-action)
  • Soft content smile, no open mouth or teeth
  • Dominant palette correct (cool dusty-blue + cream + sage by default)
  • Warm tones contained to small accents, not dominant surfaces
  • Visible gouache brushwork and paper grain
  • At least one patterned surface (wallpaper / rug / textile)
  • Wallpaper motif different from the previous scene if part of a series
  • Cast genuinely new from prior scenes (different species, coat, or accessories)

If any check fails, regenerate with the corresponding constraint re-emphasized in the prompt.

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 Folk Storybook AI skill do?

Folk-art children's picture-book illustration style — hand-painted gouache/watercolor scene on aged paper, anthropomorphic animal characters with closed-crescent-eye smiles, dusty muted folk palette, decorative pattern surfaces (wallpaper, rugs, textiles), and a hushed lullaby mood. Trigger when users ask for a folk-art illustration, storybook scene, cozy animal illustration, or any new piece in this Eastern European picture-book style.

Why use Folk Storybook on TypingMind?

Because you install it once and use it with any model. Folk Storybook 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 Folk Storybook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vm0-ai/vm0-skills/tree/main/illustration-template/folk-storybook. 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 Folk Storybook?

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 Folk Storybook?

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

Is the Folk Storybook 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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