Individual skill
browser-use
LLM-driven browser automation via the pre-installed browser-use library (chromium already in the image). Use whenever the task needs to interact with web pages beyond a single fetch — multi-step navigation, form filling, clicking, scrolling, structured data extraction, screenshots, or tasks the plain web tools can't complete. Runs as a Python script against the built-in chromium; LLM goes through the Prismer gateway (no external LLM key needed).
sdk/cloud/catalog/skills/browser-use/SKILL.md
Source commit f83b859a173802a73d978197e92328ab2bf57a6e
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,364
- Repository last updated
- Oct 22, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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# Browser-Use (Web Automation)
The sandbox image ships `browser-use` (installed in `/home/user/.venv`) and a full
chromium build (playwright). This skill drives them: write a short Python script
with `Agent(task=..., llm=..., browser=...)`, run it, report the result.
## When to use
- Multi-step web tasks: search → open → extract → compare → download
- Form filling / login flows / clicking through pages
- Structured extraction (tables, listings, prices) that a single fetch can't parse
- Screenshots / visual confirmation of a page state
- Anything needing JS-rendered content (SPA pages the fetch tools miss)
