-----|--------|---------| | 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-$SESSION.txt
Critical notes:
- Uses
html-to-imagelibrary which is what ray.so uses for its own export feature pixelRatio: 4produces high-DPI images with crisp, sharp text (4x native resolution)- The data URL is captured directly from the library, not from a screenshot
- No ImageMagick required - pure browser-based rendering at high resolution
- Output is correctly sized with no extra whitespace
Step 6: Confirm Output and STOP
Report the saved file location to the user. The task is complete - do not perform any additional checks, explorations, or verifications after the screenshot is saved.
Complete Example
User: "Create a code snippet image of this Python function"
def fibonacci(n):
if n <= 1:
return n
return fibonacci(n-1) + fibonacci(n-2)
Check
which agent-browser- confirmed availableFetch themes and languages:
curl -s "https://raw.githubusercontent.com/raycast/ray-so/main/app/(navigation)/(code)/store/themes.ts" | grep -oE 'id:\s*"[^"]+"' | sed 's/id:\s*"//;s/"//' | sort -u
Ask user for parameters via AskUserQuestion:
- Theme: user selects "midnight"
- Language: inferred as python from
defsyntax - not asked - Dark mode: user selects "Dark mode"
- Background: user selects "Yes"
- Padding: user selects "64"
- Line numbers: user selects "No"
- Title: user selects "No title"
Build URL (all params in hash, no width for auto-sizing):
CODE='def fibonacci(n):
if n <= 1:
return n
return fibonacci(n-1) + fibonacci(n-2)'
CODE_BASE64=$(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}"
- 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
- 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:4topixelRatio:2in the eval command - For maximum quality: Use
pixelRatio:6(same as ray.so's "6x" export option)
Forcing a specific width:
- Only add
&width=NUMBERto 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 > divmay 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
--sessionflag - If data URL is malformed: Ensure quotes and newlines are stripped before base64 decoding