Raster Logo Svg

Organization

PyModel

raster-logo-svg

Turn a raster logo (PNG, JPG, WebP) into a pixel-identical, self-contained SVG by base64 embedding. Use when an .svg logo is needed without a vector source, or a redrawn SVG does not match the original.

Overview

Publisher	PyModel
Repository	`designer-skill`
Skill name	`raster-logo-svg`
Stars	49
Forks	5
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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 PyModel on GitHub. Read the source before you install it.

Installation

Install the Raster Logo Svg AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/PyModel/designer-skill/tree/main/skills/raster-logo-svg
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.

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/PyModel/designer-skill.git /tmp/designer-skill
mkdir -p .claude/skills
cp -r /tmp/designer-skill/skills/raster-logo-svg .claude/skills/raster-logo-svg

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Raster Logo Svg 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 Raster Logo Svg 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 Raster Logo Svg 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.

raster-logo-svg

Create an SVG wrapper around an existing raster logo so the output is pixel-identical to the source. This is not true vectorization.

Choose the approach

Need	Do
Match an existing raster logo exactly	Embed (this skill)
Crisp at any size, editable paths	Export from Figma/Illustrator, or commission true vector
Quick monochrome outline	Potrace (usually wrong for brand logos with color/gold/type)
Hand-redrawn paths	Only if no raster exists and user accepts approximation

Default to embed when a .webp, .png, or .jpg logo already exists and the user wants .svg.

Workflow

Source of truth — keep the raster (e.g. docs/logo.webp). Do not delete it.
Generate SVG — run the script from repo root or skill directory:

bash
python3 skills/raster-logo-svg/scripts/embed-logo.py docs/logo.webp -o docs/logo.svg -l "project-name"

Requires ImageMagick (magick identify) for dimensions. Install: brew install imagemagick.

README — prefer the raster in GitHub README for reliable rendering:

markdown
<img src="docs/logo.webp" alt="project-name" width="580" />

Use the SVG for plugin manifests, favicons, npm package icons, or anywhere a .svg path is required.

Verify — open the SVG locally; it must look identical to the raster. Do not commit temp traces (icon-traced.svg, potrace output, failed hand-drawn attempts).

Output format

The script produces:

xml
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 W H" role="img" aria-label="…">
  <image width="W" height="H" href="data:image/webp;base64,…"/>
</svg>

viewBox matches source pixel dimensions from magick identify.
MIME: image/webp, image/png, or image/jpeg from file extension.
Self-contained: no external href="logo.webp" (breaks when SVG is copied alone).

Tradeoffs (tell the user when relevant)

Pros: Perfect visual match, fast, no design source needed.
Cons: Not true vector; upscaling very large may soften (same as the raster).
Size: SVG file ≈ base64(raster) + ~200 bytes overhead (~33% larger than raw binary).

Do not

Hand-draw paths to “recreate” a brand logo when the raster exists — results rarely match.
Use potrace/ImageMagick trace for full-color wordmarks.
Replace the canonical raster with only SVG unless the user explicitly drops the raster.
Embed secrets or sensitive images in public repos without user confirmation.

Optional: external-reference SVG

Only for local tooling that resolves sibling files (not GitHub README <img src="logo.svg">):

xml
<image href="logo.webp" width="1163" height="350"/>

Prefer base64 embed for portable .svg files.

Example (designer-skill)

bash
python3 skills/raster-logo-svg/scripts/embed-logo.py \
  docs/designer-skill-mcp-logo.webp \
  -o docs/designer-skill-mcp-logo.svg \
  -l "designer-skill-mcp"

README uses designer-skill-mcp-logo.webp; plugin/icon paths can use the .svg.

Bundled files

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

scripts/embed-logo.py3 KB

Frequently asked questions

What does the Raster Logo Svg AI skill do?

Why use Raster Logo Svg on TypingMind?

Because you install it once and use it with any model. Raster Logo Svg 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 Raster Logo Svg in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PyModel/designer-skill/tree/main/skills/raster-logo-svg. 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 Raster Logo Svg?

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 Raster Logo Svg?

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

Is the Raster Logo Svg AI skill free?

Yes. It is published on GitHub by PyModel 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

raster-logo-svg

Choose the approach

Workflow

Output format

Tradeoffs (tell the user when relevant)

Do not

Optional: external-reference SVG

Example (designer-skill)

Bundled files

Frequently asked questions

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