ray-so-code-snippet

---

name: ray-so-code-snippet description: Generate beautiful code snippet images using ray.so. This skill should be used when the user asks to create a code image, code screenshot, code snippet image, or wants to make their code look pretty for sharing. Saves images locally to the current working directory or a user-specified path.

tags: [productivity, agent-skills, ray-so-code-snippet, computer-vision] --------|--------|---------| | theme | Any theme from list | breeze | | padding | 16, 32, 64, 128 | 64 | | background | true, false | true | | darkMode | true, false | true | | language | Any language from list, or "auto" | auto | | lineNumbers | true, false | false | | title | URL-encoded string | (none) | | width | Number (pixels) | auto | | code | Base64-encoded, then URL-encoded | (required) |

Note on width: Do NOT include the width parameter unless you specifically need a fixed width. Without it, ray.so auto-sizes the frame to fit the code content, avoiding unnecessary empty space.

Example URL construction:

# For code: for i in range(23):\n    print(i)
# Theme: midnight, Padding: 64, Dark mode: true, Background: true, Language: python, Title: test.py

CODE='for i in range(23):
    print(i)'
CODE_BASE64=$(echo -n "$CODE" | base64)
CODE_ENCODED=$(python3 -c "import urllib.parse; print(urllib.parse.quote('$CODE_BASE64'))")
TITLE_ENCODED=$(python3 -c "import urllib.parse; print(urllib.parse.quote('test.py'))")
URL="https://ray.so/#theme=midnight&padding=64&background=true&darkMode=true&language=python&title=${TITLE_ENCODED}&code=${CODE_ENCODED}"
echo "$URL"

Step 5: Capture High-Quality Image with agent-browser

MUST use agent-browser (verified in Step 1). This approach uses the html-to-image library (same as ray.so's internal export) with high pixelRatio for crisp, sharp text rendering.

IMPORTANT: Always use a unique session name with --session to avoid stale session issues.

# Generate unique session name
SESSION="rayso-$(date +%s)"

# 1. Set viewport
agent-browser --session $SESSION set viewport 1400 900

# 2. Open the URL
agent-browser --session $SESSION open "$URL"

# 3. Wait for the page to fully render
agent-browser --session $SESSION wait --load networkidle
agent-browser --session $SESSION wait 3000

# 4. Load html-to-image library (same library ray.so uses internally)
agent-browser --session $SESSION eval 'new Promise((r,e)=>{const s=document.createElement("script");s.src="https://cdn.jsdelivr.net/npm/html-to-image@1.11.11/dist/html-to-image.js";s.onload=r;s.onerror=e;document.head.appendChild(s)})'

# 5. Capture at 4x resolution using html-to-image (produces crisp text)
agent-browser --session $SESSION eval 'htmlToImage.toPng(document.querySelector("#frame > div"),{pixelRatio:4,skipAutoScale:true})' > /tmp/rayso-dataurl-$SESSION.txt

# 6. Close the browser
agent-browser --session $SESSION close

# 7. Convert data URL to PNG file
DATAURL=$(cat /tmp/rayso-dataurl-$SESSION.txt | tr -d '"' | tr -d '\n')
echo "$DATAURL" | sed 's/data:image\/png;base64,//' | base64 -d > /path/to/output.png

# 8. Clean up temp file
rm /tmp/rayso-dataurl-$SESSION.txt

Critical notes:

• Uses html-to-image library which is what ray.so uses for its own export feature
• pixelRatio: 4 produces high-DPI images with crisp, sharp text (4x native resolution)
• The data URL is captured directly from the library, not from a screenshot
• No ImageMagick required - pure browser-based rendering at high resolution
• Output is correctly sized with no extra whitespace

Step 6: Confirm Output and STOP

Report the saved file location to the user. The task is complete - do not perform any additional checks, explorations, or verifications after the screenshot is saved.

Complete Example

User: "Create a code snippet image of this Python function"

def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

1. Check which agent-browser - confirmed available

2. Fetch themes and languages:

curl -s "https://raw.githubusercontent.com/raycast/ray-so/main/app/(navigation)/(code)/store/themes.ts" | grep -oE 'id:\s*"[^"]+"' | sed 's/id:\s*"//;s/"//' | sort -u

3. Ask user for parameters via AskUserQuestion:

   • Theme: user selects "midnight"
   • Language: inferred as python from def syntax - not asked
   • Dark mode: user selects "Dark mode"
   • Background: user selects "Yes"
   • Padding: user selects "64"
   • Line numbers: user selects "No"
   • Title: user selects "No title"

4. Build URL (all params in hash, no width for auto-sizing):

CODE='def fibonacci(n):
    if n <= 1:
        return n
    return fibonacci(n-1) + fibonacci(n-2)'
CODE_BASE64=$(echo -n "$CODE" | base64)
CODE_ENCODED=$(python3 -c "import urllib.parse; print(urllib.parse.quote('$CODE_BASE64'))")
URL="https://ray.so/#theme=midnight&padding=64&background=true&darkMode=true&language=python&code=${CODE_ENCODED}"

5. Capture high-quality image:

SESSION="rayso-$(date +%s)"

agent-browser --session $SESSION set viewport 1400 900
agent-browser --session $SESSION open "$URL"
agent-browser --session $SESSION wait --load networkidle
agent-browser --session $SESSION wait 3000

# Load html-to-image library
agent-browser --session $SESSION eval 'new Promise((r,e)=>{const s=document.createElement("script");s.src="https://cdn.jsdelivr.net/npm/html-to-image@1.11.11/dist/html-to-image.js";s.onload=r;s.onerror=e;document.head.appendChild(s)})'

# Capture at 4x resolution
agent-browser --session $SESSION eval 'htmlToImage.toPng(document.querySelector("#frame > div"),{pixelRatio:4,skipAutoScale:true})' > /tmp/rayso-dataurl-$SESSION.txt
agent-browser --session $SESSION close

# Save as PNG
DATAURL=$(cat /tmp/rayso-dataurl-$SESSION.txt | tr -d '"' | tr -d '\n')
echo "$DATAURL" | sed 's/data:image\/png;base64,//' | base64 -d > ./fibonacci.png
rm /tmp/rayso-dataurl-$SESSION.txt

6. Report: "Saved code snippet image to ./fibonacci.png"

Image Resolution and Quality

This skill uses the html-to-image library with pixelRatio: 4 to produce high-quality images with crisp, sharp text. This is the same rendering approach that ray.so uses for its built-in export feature.

Output quality:

• Default: 4x native resolution (frame auto-sizes to content, then rendered at 4x)
• Text is rendered at high DPI, not upscaled from low resolution
• Gradient backgrounds and all CSS styling are preserved
• No unnecessary empty space (frame auto-sizes to fit code)

Adjusting resolution:

• For smaller files: Change pixelRatio:4 to pixelRatio:2 in the eval command
• For maximum quality: Use pixelRatio:6 (same as ray.so's "6x" export option)

Forcing a specific width:

• Only add &width=NUMBER to the URL if you need a fixed width (e.g., for consistent sizing across multiple images)

Troubleshooting

• If agent-browser is not available: Inform the user and do not proceed
• If curl fails to fetch themes/languages, use these common defaults:
  • Themes: breeze, midnight, candy, crimson, falcon, meadow, raindrop, sunset, vercel, supabase, tailwind
  • Languages: auto, javascript, typescript, python, rust, go, java, ruby, swift, kotlin, css, html, json, yaml, bash
• If parameters aren't applied: Ensure ALL parameters are in the URL hash (after #), not the query string
• If title isn't showing: The title parameter must be in the hash: #title=filename.py&code=...
• If html-to-image fails to load: Check network connectivity; the library loads from jsdelivr CDN
• If capture returns empty: The frame selector #frame > div may have changed; inspect the page structure
• For very long code snippets, ray.so may truncate; consider splitting into multiple images
• If the page doesn't load properly, increase the wait time (try 4000ms or more)
• If you get a blank page: Use a fresh unique session name with --session flag
• If data URL is malformed: Ensure quotes and newlines are stripped before base64 decoding