akillness browser-use
Browser Use is a leading browser agent in the 2026 AI agent engineering landscape (102.1k★).
When to use this skill
- Autonomous browser agent: Agent(task=..., llm=...) drives real Chrome
- DOM serialization + vision for robust element targeting
- BrowserProfile: headless, allowed_domains, profiles, CDP connection
- Structured output extraction; sensitive-data handling
- Cloud API + optimized in-house model (ChatBrowserUse); MCP server mode
- Templates via uvx browser-use init
- Ecosystem overlap: None in oh-my-gods (harness Browser tool ≠ engineering agents); jeo-skills browser-harness/playwriter are session tools, not agent SDKs
Installation
uv add browser-use # or: pip install browser-use
Core API
import asyncio
from browser_use import Agent, BrowserProfile, ChatBrowserUse
async def main():
agent = Agent(
task="Find the number of stars of the browser-use repo",
llm=ChatBrowserUse(model='openai/gpt-5.5'),
browser_profile=BrowserProfile(headless=False, allowed_domains=["*.github.com"]),
)
history = await agent.run()
asyncio.run(main())
Instructions
Step 1: Initialize the environment
Verify you have Python installed and set up properly. Use the correct package manager (pip, npm, pnpm, uv) as specified in the installation section.
Step 2: Establish the agent flow
Architecture pattern: Perception-action loop over serialized DOM/screenshots; actions are typed browser primitives; model-agnostic LLM adapter layer
Step 3: Implement tool integrations and policies
Integrate necessary tools, environment keys, and safety gates according to your architectural needs. Position in the ecosystem: Default OSS browser-agent; alternatives: stagehand (SDK-style, deterministic mix), skyvern (workflow focus)
Examples
Example 1: Minimal Agent Run
import asyncio
from browser_use import Agent, BrowserProfile, ChatBrowserUse
async def main():
agent = Agent(
task="Find the number of stars of the browser-use repo",
llm=ChatBrowserUse(model='openai/gpt-5.5'),
browser_profile=BrowserProfile(headless=False, allowed_domains=["*.github.com"]),
)
history = await agent.run()
asyncio.run(main())
Best practices
- Follow the primary installation commands for Browser Use to ensure dependencies are resolved correctly.
- Configure model providers and API keys securely before starting the runtime.
- Use appropriate sandboxing or permission isolation if executing AI-generated code.