image-to-svg SKILL.md skillA
image-to-svg from oaustegard/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add oaustegard/claude-skills/image-to-svg@v1.9.0Pins v1.9.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- oaustegard/claude-skills
- Path
image-to-svg/SKILL.md- Versions recorded
- 6
- Latest version
- v1.9.0, committed Oct 23, 2026
- First version recorded
- Mar 26, 2026
- Size
- 21,916 bytes
- Repository stars
- 158
- License
- MIT
Convert raster images (photos, paintings, illustrations, line art) into SVG vector reproductions. Use when the user uploads an image and asks to reproduce, vectorize, trace, or convert it to SVG. Also use when asked to decompose an image into shapes, create an SVG version of a picture, or faithfully reproduce artwork as vector graphics. Handles graphic/line-art inputs (Kandinsky, architectural drawings, ink work) via a compositional pipeline that extracts lines as SVG strokes. Do NOT use for…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Image to SVG Reproduction
Convert raster images into faithful SVG reproductions using data-driven color quantization and contour extraction. **Never hand-draw shapes from visual interpretation** — always extract geometry from the actual pixel data.
## Core Principle
**Trust the data, not your imagination.** Claude's visual interpretation of images is unreliable for precise color matching, shape positioning, and spatial relationships. Every shape, color, and position must come from computational analysis of the source pixels.
## Quick Start
```bash
pip install opencv-python-headless scikit-image scipy scikit-learn --break-system-packages -q
apt-get install -y librsvg2-bin -qq
```
```python
import sys
sys.path.insert(0, '/mnt/skills/user/image-to-svg/scripts')
from pipeline import image_to_svg
svg, flow = image_to_svg("source.jpg", mode="painting")
with open("output.svg", "w") as f:
f.write(svg)
flow.summary() # timing + status per step
```
## Mode Selection
**Look at the image** and ask: "Does this have smooth gradients or hard edges?" Gradients → higher K. Hard edges → lower K.
| Mode | K | Best for | Dark shape gating |
…Read the whole file at its exact version.
How to install
mdr add oaustegard/claude-skills/image-to-svg@sha256:552a77c119256920The line at the top of this page pins the label v1.9.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_cz3hofcqacgczryl)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Mar 26, 2026 and Oct 23, 2026, about one every 42 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.9.0 latest | 2026-10-23 | 7245a16 | 21,916 B | A | view · diff |
| v1.8.0 | 2026-07-25 | 4b31e7d | 20,354 B | A | view · diff |
| v1.8.0 | 2026-03-30 | 80776cd | 20,342 B | A | view · diff |
| v1.8.0 | 2026-03-27 | 85ba047 | 19,963 B | A | view · diff |
| v1.7.0 | 2026-03-27 | 09aa3ca | 15,369 B | A | view · diff |
| v1.6.0 | 2026-03-26 | 01b77b6 | 12,013 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (21916 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
oaustegard/claude-skills · 158 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cz3hofcqacgczryl GET https://markdownregistry.com/api/v1/resolve?ref=oaustegard/claude-skills/image-to-svg GET https://markdownregistry.com/api/v1/blob/552a77c119256920f4210accbc8ccf90eabb2833c0689102251d7d5a172d6f32
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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