Logo To Stickers logo

Logo To Stickers

Community
huyanxius
logo-to-stickers

Turn a logo, brand mark, or existing IP into a consistent set of playful die-cut paper stickers. Use for brand character extensions, logo personification, website sticker assets, or sticker variations that need actual transparent images; not for redesigning the logo itself.

Overview

Publisherhuyanxius
Repositorylogo-to-stickers
Skill namelogo-to-stickers
Stars
5
Forks
0
Bundled files
36
LicenseMIT
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.

  • 36 bundled files

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

  • Open source

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

Installation

Install the Logo To Stickers 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/huyanxius/logo-to-stickers/tree/main
  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/huyanxius/logo-to-stickers.git \
  .claude/skills/logo-to-stickers
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Logo To Stickers 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 Logo To Stickers 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 Logo To Stickers 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.

Logo to Stickers

Give a brand a small cast, a useful ability, and something slightly surprising to do. Keep the recognisable brand DNA. Let paper texture and a thin die-cut white edge make the illustration feel like a physical sticker.

Start with the actual brand

Inspect the supplied logo or the real project assets before inventing a character. The user's latest visual feedback takes priority over an older brief. Identify three anchors: a recognisable silhouette or component count; a restrained colour relationship; a characteristic product verb, such as researching, publishing, or animating.

Choose a translation that fits:

  • Shape → cast. Let the actual logo fragments become bodies. A few eyes and ink-line limbs may be enough. Keep their distinct silhouettes and let their relationships create the scene.
  • Meaning → ability. Turn a product behaviour into a character's useful, occasionally troublesome ability. Keep the original palette, a local shape, or a small brand mark. Explain why the metaphor fits; do not give every brand the same animal.
  • Existing character → action. Preserve the identity that is already there. Change what the character does without automatically redesigning it.

Read the worked examples, then inspect the original mark and a relevant finished sticker. Borrow a technique, not another brand's identity. A character newly invented for this task is a proposed extension, not an already-official mascot.

Give each sticker a tiny plot

Write one sentence per image: who does what → a small unexpected consequence → a readable reaction. Let the brand's ability participate in the joke. Awkward collaboration, disproportionate tools, a gentle accident, or a well-earned nap are useful possibilities, not a fixed scene checklist.

Prefer one principal action and one principal prop. Use posture, balance, gaze, and scale to convey personality. Keep a compact overall silhouette that remains readable around 160–240 px. A character standing with a different prop in every image rarely makes an interesting set.

Generate a consistent set

Use an available image-generation tool that supports image references and real transparent output. In Codex, use the built-in image-generation tool and the environment's imagegen guidance. In other agents, use their configured image-generation capability. This skill does not provide a model, API key, or image-generation service. If no suitable generator is available, explain the missing capability and provide the prepared prompts without claiming that images were produced.

Generate and inspect one scene first, then use it as the identity anchor for the rest. When the user asked for a full set, continue after your own inspection; do not add an approval checkpoint unless requested.

Assign each reference an explicit role and match the prompt's image numbers to the actual upload order:

  • Original logo / IP: recognisable brand structure.
  • First sticker of the current series: face, proportions, palette, line quality, print texture.
  • Optional external style reference: the specific paper finish or drawing technique to borrow.

Keep who the character is consistent while changing what it is doing. A giant eye behind a magnifying glass is a temporary lens joke, not a permanent character feature. The first scene's props need not appear in every subsequent scene. See the prompt recipe.

Make the paper convincing

Use matte printed illustration, subtle paper grain, and a narrow continuous white die-cut border around the whole scene. Start around 1–2% of canvas width and adjust to the detail. Keep the sheet front-facing and flat, with only a little cut-edge thickness. Avoid swollen rubber, glossy CGI, or converting everything into a toy product photo.

Centre the complete scene with usable margins. Ask for true alpha outside the sticker, not a rectangular card, scenery, tabletop, or a drawn checkerboard. Omit captions and watermarks unless the user requests text. Small emotion strokes can support an action.

Inspect and deliver

Inspect each actual result and the set together. Check brand recognition, an understandable situation, stable character identity, different poses and silhouettes, and an intact white border. Simplify unreadable scenes. Regenerate individual failures without discarding the successful character design.

Verify the saved image's actual dimensions and alpha. A requested size in a prompt is not proof of output size. Use only mechanical padding or resizing when needed for delivery, preserving originals; make visual changes through the image tool.

Save each requested sticker as its own file in the user's destination. Use descriptive versioned names rather than overwriting a prior batch by default. Deliver clickable paths, a contact sheet when helpful, the actual prompt set, and the generation mode used. For an image request, a sheet or a list of prompts alone is not the requested set of independent images.

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 Logo To Stickers AI skill do?

Turn a logo, brand mark, or existing IP into a consistent set of playful die-cut paper stickers. Use for brand character extensions, logo personification, website sticker assets, or sticker variations that need actual transparent images; not for redesigning the logo itself.

Why use Logo To Stickers on TypingMind?

Because you install it once and use it with any model. Logo To Stickers 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 Logo To Stickers in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huyanxius/logo-to-stickers/tree/main. 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 Logo To Stickers?

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 Logo To Stickers?

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

Is the Logo To Stickers AI skill free?

Yes. It is published on GitHub by huyanxius under the MIT 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.

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