create-svg-from-prompt
This Claude Code skill generates scalable vector graphics (SVG) from text descriptions by using Google Gemini to create an image and then converting it to SVG format using autotrace. Use it when you need vector-based versions of user-requested images or scenes that can scale without quality loss.
git clone --depth 1 https://github.com/aiskillstore/marketplace /tmp/create-svg-from-prompt && cp -r /tmp/create-svg-from-prompt/skills/0x6a77/create-svg-from-prompt ~/.claude/skills/create-svg-from-promptSKILL.md
## Setup
if `autotrace` is not available in the environment, then install it with the following command:
```bash
sudo apt update
sudo apt install git build-essential intltool imagemagick libmagickcore-dev pstoedit libpstoedit-dev autopoint
git clone https://github.com/autotrace/autotrace.git
cd autotrace
./autogen.sh
LD_LIBRARY_PATH=/usr/local/lib ./configure --prefix=/usr
make
sudo make install
```
## Core Workflow
When the user prompts the model to generate an SVG of and image or scene:
### User wants an SVG of an image or scene
To generate an SVG of an image or scene use Google Gemini and autotrace:
```bash
curl -s -X POST "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image:generateContent" -H "x-goog-api-key: <GEMINI_API_KEY>" -H "Content-Type: application/json" -d '{ "contents": [{ "parts": [ {"text": "<IMAGE_PROMPT>"}]}]}' | grep -o '"data": "[^"]*"' | cut -d'"' -f4 | base64 --decode | autotrace -output-format svg -despeckle-level 10 -despeckle-tightness 2.0 -output-file <OUTPUT_FILE>.svg
```
**Arguments from prompt:**
- `<GEMINI_API_KEY>`: The Gemini API key gotten from the environment variable "GEMINI_API_KEY"
- `<IMAGE_PROMPT>`: The user's initial prompt modified to change phrases like "Generate an svg" to "Generate an image." Do not modify the rest of the prompt or add any extra instructions or descriptions.
- `<OUTPUT_FILE>`: An 8-30 character filename based on the image the user wantsImplement SAFe methodology in Jira. Use when creating Epics, Features, Stories with proper hierarchy, acceptance criteria, and parent-child linking.
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HSK4級レベルから流暢さを目指す学習者向け。中国語表現の使用場面・自然さを分析し、作文を「ネイティブらしい流暢な表現」に改善。bilibili等のコンテンツ理解とネイティブとの会話をサポート。実際の用例をWeb検索で提示
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Discover and extract sitemaps from any website using SitemapKit. Use this skill whenever the user wants to find pages on a website, get a list of URLs from a domain, audit a site's structure, crawl a sitemap, check what pages exist on a site, or do anything involving sitemaps or site URL discovery — even if they don't explicitly say "sitemap". Requires the sitemapkit MCP server configured with a valid SITEMAPKIT_API_KEY.
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Security intelligence for code analysis. Detects SQL injection, XSS, CSRF, authentication issues, crypto failures, and more. Actions: scan, analyze, fix, audit, check, review, secure, validate, sanitize, protect. Languages: JavaScript, TypeScript, Python, PHP, Java, Go, Ruby. Frameworks: Express, Django, Flask, Laravel, Spring, Rails. Vulnerabilities: SQL injection, XSS, CSRF, authentication bypass, authorization issues, command injection, path traversal, insecure deserialization, weak crypto, sensitive data exposure. Topics: input validation, output encoding, parameterized queries, password hashing, session management, CORS, CSP, security headers, rate limiting, dependency scanning.