Google searches via real browser sessions, extracting live results while reusing logged-in credentials to minimize CAPTCHAs.
Works with
Launches Google searches in real browser mode to leverage existing user sessions and reduce bot detection blocks
Provides commands to inspect search results, click through to individual pages, and extract content summaries with source citations
Includes fallback to Jina AI text extraction if browser parsing encounters difficulties
Requires browser-use instal
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongoogle-search-browser-useExecute the skills CLI command in your project's root directory to begin installation:
Fetches google-search-browser-use from grasseed/google-search-browser-use and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate google-search-browser-use. Access via /google-search-browser-use in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Run Google searches with browser-use (prefer real browser mode), open results, and extract the relevant snippets or page content. This skill leverages the user's existing browser session to reduce CAPTCHAs.
Before running the search, ensure the environment is ready:
Check Installation:
Verify if browser-use is available in the current PATH.
which browser-use
Install if Missing: If not found, install it using pip.
python3 -m pip install --user browser-use
Locate Binary: If the command is still not found after installation, it is likely in the user's local bin directory. Retrieve the path dynamically:
python3 -m site --user-base
# The binary is typically at <USER_BASE>/bin/browser-use
Use the real browser to reuse the user’s logged-in session.
Option A: Standard Execution
browser-use --browser real open "https://www.google.com/search?q=YOUR+QUERY"
Option B: Explicit Path Execution If Option A fails (command not found), use the full path found in Prerequisites:
# Example (adjust based on 'python3 -m site --user-base' output):
${HOME}/Library/Python/3.14/bin/browser-use --browser real open "https://www.google.com/search?q=YOUR+QUERY"
(Note: Replace 3.14 with your current Python version if different)
Once the browser is open:
# Check current page state
browser-use --browser real state
# Click on a search result (use index from state output)
browser-use --browser real click <index>
browser-use struggles with parsing, use curl with Jina AI for a text-friendly version:
curl -L "https://r.jina.ai/https://example.com"
browser-use close
browser-use cannot be called directly, always prefer finding the path via python3 -m site --user-base rather than guessing.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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google-search-browser-use has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for google-search-browser-use matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend google-search-browser-use for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
google-search-browser-use is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: google-search-browser-use is focused, and the summary matches what you get after install.
google-search-browser-use has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: google-search-browser-use is focused, and the summary matches what you get after install.
Keeps context tight: google-search-browser-use is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in google-search-browser-use — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
google-search-browser-use fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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