Skill: Browser Screenshot

Take focused screenshots of specific regions on web pages — a Reddit post, a tweet, an article section, a chart, etc. — not just a full-page dump.

Prerequisite: agent-browser must be installed and Chrome must have remote debugging enabled. See references/agent-browser-setup.md if unsure.

Overview

This skill handles the full pipeline:

Research the best page to screenshot (web search, fetch)
Navigate to the right page in the browser
Locate the target element/region on the page
Capture a focused, cropped screenshot of just that region

Hard Rule: No Full-Screen Screenshots

NEVER output an uncropped full-viewport or full-page screenshot as a final result. Full screenshots contain too much noise (nav bars, sidebars, ads, unrelated content) and are unsuitable as article illustrations. Every screenshot MUST be cropped to a focused region.

Step 0: Research — Find and Validate Sources Before Opening the Browser

The browser is for capturing, not for browsing. Before opening anything in Chrome, use text-based tools (WebSearch, WebFetch) to find candidate pages, read their content, and decide which ones are actually worth screenshotting.

Research-First Workflow

WebSearch to find candidate pages for the topic
WebFetch each candidate to read its text content — check if it has the information/visual you need
Evaluate: Is this page worth a screenshot? Does it have a clear, focused region that would work as an illustration?
Only then open the browser to capture the screenshot

This saves significant time — most candidate pages won't be worth screenshotting, and you can eliminate them without the overhead of browser navigation.

When to Use Browser-First Instead

Skip the WebSearch/WebFetch phase and go directly to Chrome browsing when:

The target platform requires login — Reddit, LinkedIn, X/Twitter, and other social platforms often gate content behind login walls. If the user's Chrome session is already logged in, use the browser directly.
The user specifies a platform with a clear search need — e.g., "find a Reddit post about X" or "screenshot a tweet about Y". Go straight to the platform's search in Chrome.
WebFetch returns blocked/incomplete content — some sites aggressively block non-browser requests. If you get a 403, a CAPTCHA page, or stripped content, switch to Chrome.

In these cases, Chrome browsing replaces WebSearch — navigate to the platform's search page, browse results, and evaluate pages visually before deciding what to screenshot.

Page Selection Strategy

The right page depends on the context of the article and how recent/notable the subject is:

Subject Type	Best Page to Find	How to Find It
New model/feature launch (< 6 months)	Official blog post announcing it	WebSearch `"<model name>" site:<vendor-domain> blog`
Established product (> 6 months)	Product landing page or docs overview	WebSearch `"<model name>" official page`
Open-source model	HuggingFace model card or GitHub repo	Direct URL: `huggingface.co/<org>/<model>`
API service	API documentation page	WebSearch `"<service name>" API docs`

Note: This table lists common subject types but is not exhaustive. Apply the same research-first strategy to any subject type — find the most authoritative and visually clean source page for the topic at hand.

What Makes a Good Screenshot Source

Core principle: Less is more. Focus on content, not chrome.

A good screenshot source contains a focused, self-contained piece of information — a paragraph of text, a key quote, a data table, a diagram. It should NOT be a busy page full of buttons, navigation, sidebars, and interactive elements.

Prefer: A section of a blog post with a clear heading and 1-2 paragraphs of text. A single chart or diagram. A model card header with name and description. A quote or key finding.
Avoid: Full landing pages with CTAs and navigation. Dashboard views with multiple panels. Pages dominated by UI controls (buttons, dropdowns, forms) rather than readable content.
Official blog posts are ideal: they have hero images, prominent titles, and concise descriptions designed for sharing
Product landing pages can work but only if you crop to the hero section — ignore the rest
HuggingFace model cards are reliable for open-source models: consistent layout, model name + description always at top
API docs are acceptable fallback: show the product name and key specs

Rule of thumb: If the region you plan to capture contains more interactive UI elements (buttons, links, nav items) than readable text content, it's a bad crop. Find a more content-rich region, or pick a different page entirely.

Pre-Flight URL Validation

Before opening in the browser, validate URLs with WebFetch (lightweight HEAD/GET) to avoid wasting time on 404s or redirects:

WebFetch: <candidate-url>
→ Check status code, title, and content snippet
→ If 404 or redirect to unrelated page, try next candidate

Region Selection Strategy

Think about what the article reader needs to see in this screenshot:

Article Context	What to Capture	Target Region
Introducing a model in a lineup	Model name + key tagline/description	Blog hero section or HF model card header
Comparing capabilities	Feature highlights or spec table	Blog section showing specs/features
Discussing a specific feature	The feature description	Relevant section heading + 1-2 paragraphs
Showing a product/service	Brand identity + value prop	Landing page hero (title + subtitle + visual)

The screenshot should make the reader think "ah, that's what this model/product is" — not "what am I looking at?"

Step 1: Navigate to the Target Page

Always Start by Listing Tabs

agent-browser --auto-connect tab list

Check if the page is already open. Reuse existing tabs — they have login sessions and correct state.

Navigation by Input Type

User Provides	Strategy
Direct URL	`agent-browser --auto-connect open <url>`
Search query	`open https://www.google.com/search?q=<encoded-query>` → find and click the best result
Platform + topic	Construct platform search URL (see below) → locate target content
Vague description	Google search → evaluate results → navigate to best match

Platform-Specific Search URLs

Platform	Search URL Pattern
Reddit	`https://www.reddit.com/search/?q=<query>`
X / Twitter	`https://x.com/search?q=<query>`
LinkedIn	`https://www.linkedin.com/search/results/content/?keywords=<query>`
Hacker News	`https://hn.algolia.com/?q=<query>`
GitHub	`https://github.com/search?q=<query>`
YouTube	`https://www.youtube.com/results?search_query=<query>`

Wait for Page Load

After navigation, wait for content to settle:

agent-browser --auto-connect wait --load networkidle

Note: Some sites (Reddit, X, LinkedIn) never reach networkidle. If open already shows the page title in its output, skip the wait. Use wait 2000 as a safe alternative.

Step 2: Locate the Target Region

This is the critical step. The goal is to find a CSS selector that precisely wraps the content to capture.

Primary Method: DOM Selector Discovery

Take an annotated screenshot to understand the page layout:
```
agent-browser --auto-connect screenshot --annotate
```
Take a snapshot to see the page's accessibility tree:
```
agent-browser --auto-connect snapshot -i
```
Identify the target container element. Look for:
- Semantic HTML containers: <article>, <main>, <section>
- Platform-specific components (see Platform Selectors)
- Data attributes: [data-testid="..."], [data-id="..."]
Verify with get box to confirm the element has a reasonable bounding box:
```
agent-browser --auto-connect get box "<selector>"
```
This returns { x, y, width, height }. Sanity-check:
- Width should be > 100px and < viewport width
- Height should be > 50px
- If the box is the entire page, the selector is too broad — refine it

If the selector is hard to find, use eval to explore the DOM:

agent-browser --auto-connect eval "document.querySelector('article')?.getBoundingClientRect()"

Platform Selectors

Common container selectors for popular platforms:

Platform	Target	Typical Selector
Reddit	A post	`shreddit-post`, `[data-testid="post-container"]`
X / Twitter	A tweet	`article[data-testid="tweet"]`
LinkedIn	A feed post	`.feed-shared-update-v2`
Hacker News	A story + comments	`#hnmain .fatitem`
GitHub	A repo card	`[data-hpc]`, `.repository-content`
YouTube	Video player area	`#player-container-outer`
Generic article	Main content	`article`, `main`, `[role="main"]`, `.post-content`, `.article-body`

These selectors may change over time. Always verify with get box before using.

Multiple Matching Elements

If the selector matches multiple elements (e.g., multiple tweets on a timeline), narrow it down:

# Count matches
agent-browser --auto-connect get count "article[data-testid='tweet']"

# Use nth-child or :first-of-type, or a more specific selector
# Or use eval to find the right one by text content:
agent-browser --auto-connect eval --stdin <<'EOF'
const posts = document.querySelectorAll('article[data-testid="tweet"]');
for (let i = 0; i < posts.length; i++) {
  const text = posts[i].textContent.substring(0, 80);
  console.log(i, text);
}
EOF

Then target a specific one using :nth-of-type(N) or a unique parent selector.

Step 3: Capture the Focused Screenshot

Method A: Scroll + Viewport Screenshot (Preferred for Viewport-Sized Targets)

Best when the target element fits within the viewport.

# Scroll the target into view
agent-browser --auto-connect scrollintoview "<selector>"
agent-browser --auto-connect wait 500

# Take viewport screenshot
agent-browser --auto-connect screenshot /tmp/browser-screenshot-raw.png

Then crop using the bounding box (see Cropping).

Method B: Full-Page Screenshot + Crop (For Any Size Target)

Best when the target might be larger than the viewport or when precise cropping is needed.

# Take full-page screenshot
agent-browser --auto-connect screenshot --full /tmp/browser-screenshot-full.png

# Get the target element's bounding box
agent-browser --auto-connect get box "<selector>"
# Output: { x: 200, y: 450, width: 680, height: 520 }

Then crop (see Cropping).

Cropping

Use ImageMagick (magick on IMv7, convert is deprecated) to crop the screenshot to the target region. Add padding for visual breathing room.

Retina Display Handling

Critical: On macOS Retina displays, screenshots are captured at 2x resolution. A 1728x940 viewport produces a 3456x1880 image. You MUST account for this:

Detect the scale factor: Compare viewport size vs actual image dimensions:

# Check actual image dimensions
magick identify /tmp/screenshot.png
# → 3456x1880 means 2x scale on a 1728x940 viewport

Multiply get box coordinates by the scale factor before cropping:

# get box returns viewport coordinates: { x: 200, y: 450, width: 680, height: 520 }
# For 2x Retina, actual image coordinates are:
SCALE=2
X=$((200 * SCALE))
Y=$((450 * SCALE))
W=$((680 * SCALE))
H=$((520 * SCALE))
PADDING=$((16 * SCALE))

Crop Command

magick /tmp/browser-screenshot-full.png \
  -crop $((W + PADDING*2))x$((H + PADDING*2))+$((X - PADDING))+$((Y - PADDING)) \
  +repage \
  <output-path>.png

Important: get box returns floating-point values. Round them to integers before passing to ImageMagick.

Padding: Use 12–20px (viewport px). Increase to ~30px if the target has a distinct visual boundary (card, bordered box). Use 0 if the user wants a tight crop.

Output Path

If the user specifies an output path, use that
Otherwise, save to a descriptive name in the current directory, e.g., reddit-post-screenshot.png, tweet-screenshot.png

Step 4: Verify the Result

After cropping, read the output image to verify it captured the right content:

# Use the Read tool to visually inspect the cropped screenshot

If the crop is wrong (missed content, too much whitespace, wrong element), adjust the selector or bounding box and retry.

Fallback: Visual Highlight Confirmation

When DOM-based location is uncertain — the selector might be wrong, multiple candidates exist, or the target is ambiguous — use JS-injected highlighting to visually confirm before cropping.

How It Works

Inject a highlight border on the candidate element:

agent-browser --auto-connect eval --stdin <<'EOF'
(function() {
  const el = document.querySelector('<selector>');
  if (!el) { console.log('NOT_FOUND'); return; }
  el.style.outline = '4px solid red';
  el.style.outlineOffset = '2px';
  el.scrollIntoView({ block: 'center' });
})();
EOF

Take a screenshot and visually inspect:
```
agent-browser --auto-connect screenshot /tmp/highlight-check.png
```
Read the screenshot to check if the red border surrounds the correct content.

If correct, remove the highlight and proceed with cropping:

agent-browser --auto-connect eval "document.querySelector('<selector>').style.outline = ''; document.querySelector('<selector>').style.outlineOffset = '';"

If wrong, try the next candidate or refine the selector, re-highlight, and re-check.

When to Use This Fallback

The page has complex/nested components and you're not sure which container is right
Multiple similar elements exist and you need to pick the correct one
The user's description is vague ("that chart in the middle of the page")
The get box result looks suspicious (too large, too small, zero-sized)

Page Preparation: Clean Up Before Capture

Before taking the final screenshot, clean up the page for a better result:

# Dismiss cookie banners, popups, overlays
agent-browser --auto-connect eval --stdin <<'EOF'
(function() {
  // Common cookie/popup selectors
  const selectors = [
    '[class*="cookie"] button',
    '[class*="consent"] button',
    '[class*="banner"] [class*="close"]',
    '[class*="modal"] [class*="close"]',
    '[class*="popup"] [class*="close"]',
    '[aria-label="Close"]',
    '[data-testid="close"]'
  ];
  selectors.forEach(sel => {
    document.querySelectorAll(sel).forEach(el => {
      if (el.offsetParent !== null) el.click();
    });
  });

  // Hide fixed/sticky elements that overlay content (nav bars, banners)
  document.querySelectorAll('*').forEach(el => {
    const style = getComputedStyle(el);
    if ((style.position === 'fixed' || style.position === 'sticky') && el.tagName !== 'HTML' && el.tagName !== 'BODY') {
      el.style.display = 'none';
    }
  });
})();
EOF

Use with caution: Hiding fixed elements might remove important context. Only run this when overlays visibly obstruct the target region.

Cookie Banners That Won't Dismiss

Some cookie consent banners (e.g., Jina AI's Usercentrics) live in shadow DOM or iframes and cannot be dismissed via JS click() or remove(). Don't waste time with multiple JS attempts. Instead:

Crop it out — if the banner is at the top or bottom, simply adjust the crop region to exclude it. This is the fastest and most reliable approach.
Scroll past it — scroll the target content away from the banner area before capturing.

Viewport Sizing

For consistent, high-quality screenshots, set the viewport before capturing:

# Standard desktop viewport
agent-browser --auto-connect set viewport 1280 800

# Wider for dashboard/data-heavy pages
agent-browser --auto-connect set viewport 1440 900

# Narrower for mobile-like content (social media posts)
agent-browser --auto-connect set viewport 800 600

Choose a viewport width that makes the target content render cleanly — not too cramped, not too stretched.

Complete Example: Screenshot a Reddit Post

User: "Screenshot the top post on r/programming"

# 1. List existing tabs
agent-browser --auto-connect tab list

# 2. Navigate to subreddit
agent-browser --auto-connect open https://www.reddit.com/r/programming/
agent-browser --auto-connect wait 2000

# 3. Find the first post container
agent-browser --auto-connect eval "document.querySelector('shreddit-post')?.getBoundingClientRect()"

# 4. Scroll it into view
agent-browser --auto-connect scrollintoview "shreddit-post"
agent-browser --auto-connect wait 500

# 5. Get bounding box
agent-browser --auto-connect get box "shreddit-post"
# → { x: 312, y: 80, width: 656, height: 420 }

# 6. Take full-page screenshot
agent-browser --auto-connect screenshot --full /tmp/reddit-raw.png

# 7. Crop with padding
convert /tmp/reddit-raw.png \
  -crop 688x452+296+64 +repage \
  reddit-post-screenshot.png

# 8. Verify by reading the output image

Key Commands Quick Reference

Command	Purpose
`tab list`	List open tabs
`open <url>`	Navigate to URL
`wait 2000`	Wait for content to settle
`snapshot -i`	See interactive elements
`screenshot --annotate`	Visual overview with labels
`screenshot --full <path>`	Full-page screenshot
`get box "<selector>"`	Get element bounding box
`scrollintoview "<sel>"`	Scroll element into view
`eval <js>`	Run JavaScript in page
`set viewport <w> <h>`	Set viewport dimensions

Troubleshooting

`get box` returns null or zero-sized

The selector doesn't match any element. Use get count "<selector>" to verify.
The element may be hidden or not yet rendered. Try wait 2000 and retry.

Cropped image is blank or wrong area

The full-page screenshot coordinates may differ from viewport coordinates. Use screenshot --full with get box (they use the same coordinate system).
Check if the page has horizontal scroll — get box x values may be offset.

Target element is inside an iframe

get box and snapshot -i cannot see inside iframes.

Use eval to access iframe content:

agent-browser --auto-connect eval "document.querySelector('iframe').contentDocument.querySelector('<sel>').getBoundingClientRect()"

Note: Only works for same-origin iframes.

`open` succeeded but page content is wrong

The browser may have switched to a different tab (e.g., a popup or redirect opened a new tab). Always verify after navigation:
```
agent-browser --auto-connect eval "document.location.href"
```
If the URL is wrong, use tab list to find the correct tab and tab goto <N> to switch.

Screenshot command times out on fonts

Some pages (e.g., Google developer docs) hang on document.fonts.ready. Force-resolve it first:
```
agent-browser --auto-connect eval "document.fonts.ready.then(() => 'ok')"
```
Then retry the screenshot.

Page has lazy-loaded content

Scroll down to trigger loading before taking the screenshot:

agent-browser --auto-connect scroll down 1000
agent-browser --auto-connect wait 1500
agent-browser --auto-connect scroll up 1000

browser-screenshot