Stop fighting with snapshotโact loops. Let AI handle complex browser automation end-to-end.
OpenClaw's built-in browser tool is great for simple tasks โ screenshot, click a button, done. But for multi-step workflows, it becomes a nightmare:
Agent: *takes snapshot* โ *clicks wrong button* โ *takes snapshot* โ *page changed* โ
*confused* โ *clicks again* โ *popup appeared* โ *lost* โ โ Failed
Sound familiar? Login forms, dynamic pages, popups, anti-bot detection โ the built-in tool wasn't designed for these.
This skill integrates Browser-Use (38k+ โญ) โ an AI browser agent that sees pages like a human and completes entire workflows autonomously.
You: "Log into Reddit and post this article to r/python"
Browser-Use: โ
Opens login โ types credentials โ handles CAPTCHA wait โ
navigates to submit โ fills title & body โ clicks Post โ returns URL
One task in, result out. No manual step-by-step babysitting.
# 1. Install the skill
clawhub install browser-use
# 2. Setup Python environment (one-time)
python3 -m venv ~/browser-use-env
source ~/browser-use-env/bin/activate
pip install browser-use playwright langchain-openai
playwright install chromiumThen just tell your OpenClaw agent:
"็จ browser-use ็ปๅฝ Reddit ๅไธชๅธๅญ"
The skill handles everything: mode selection, script generation, execution, and error recovery.
| Scenario | Built-in browser |
This Skill |
|---|---|---|
| Take a screenshot | โ Free & instant | โ Overkill |
| Click one button | โ | โ |
| 5+ step workflow (loginโnavigateโfillโsubmit) | โ Breaks easily | โ Autonomous |
| Anti-bot sites (Reddit, LinkedIn, Twitter) | โ Detected | โ Real Chrome |
| Batch operations | โ | โ |
| Data scraping with complex navigation | โ Manual | โ Smart |
Rule of thumb: If it takes more than 3 clicks, use Browser-Use.
The skill knows when Browser-Use is needed vs when the built-in tool is enough. No wasted API calls.
Passwords use placeholder substitution โ the LLM never sees your real credentials:
agent = Agent(
task="Login with x_user and x_pass",
sensitive_data={"x_user": "real@email.com", "x_pass": "S3cret!"},
)Connect to your actual Chrome browser via CDP โ sites see a real human, zero detection:
browser = Browser(cdp_url="http://127.0.0.1:9222")Skip LLM reasoning for simple steps โ 2x faster:
agent = Agent(task="...", flash_mode=True)CAPTCHA? Timeout? Anti-spam? The skill includes a complete decision tree for common failures.
import asyncio
from browser_use import Agent, ChatOpenAI, Browser
async def main():
llm = ChatOpenAI(model="gpt-4o-mini", api_key="YOUR_KEY")
browser = Browser(cdp_url="http://127.0.0.1:9222") # Real Chrome
agent = Agent(
task="""
1. Go to https://news.ycombinator.com
2. Extract the top 5 story titles and URLs
3. Return them as a formatted list
""",
llm=llm, browser=browser, use_vision=True, max_steps=15,
)
result = await agent.run()
print(result)
asyncio.run(main())| LLM | Works | Best For |
|---|---|---|
| GPT-4o-mini | โ | Default choice โ fast & cheap |
| GPT-4o | โ | Complex reasoning tasks |
| Claude 3.5+ | โ | Good alternative |
| Gemini | โ | Structured output incompatible |
๐ Full Wiki โ
| Guide | What You'll Learn |
|---|---|
| Getting Started | Install, setup, first automation |
| Mode A vs Mode B | Built-in Chromium vs Real Chrome |
| Task Writing Guide | Write prompts that work first try |
| Sensitive Data | Secure password handling + 2FA |
| Real-World Examples | Copy-paste recipes |
| Troubleshooting | Fix common issues |
| FAQ | Quick answers |
- Browser-Use โ The underlying browser AI framework (38k+ โญ)
- OpenClaw โ The AI agent platform this skill runs on
- Bug Audit โ Dynamic bug hunting (200+ patterns)
- Debug Methodology โ Root-cause debugging for AI agents
- Game Quality Gates โ 12 universal game dev quality checks
Found a bug? Have an idea? Open an issue or submit a PR!
MIT โ Use it however you want.
โญ If this skill saved you time, consider starring the repo โ it helps others find it!