Gemini computer use
Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/am-will/gemini-computer-use
Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.From its SKILL.md
npx -y skills add ComeOnOliver/skillshub --skill gemini-computer-useAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Gemini Computer Use
Quick start
-
Source the env file and set your API key:
cp env.example env.sh $EDITOR env.sh source env.sh -
Create a virtual environment and install dependencies:
python -m venv .venv source .venv/bin/activate pip install google-genai playwright playwright install chromium -
Run the agent script with a prompt:
python scripts/computer_use_agent.py \ --prompt "Find the latest blog post title on example.com" \ --start-url "https://example.com" \ --turn-limit 6
Browser selection
- Default: Playwright's bundled Chromium (no env vars required).
- Choose a channel (Chrome/Edge) with
COMPUTER_USE_BROWSER_CHANNEL. - Use a custom Chromium-based executable (e.g., Brave) with
COMPUTER_USE_BROWSER_EXECUTABLE.
If both are set, COMPUTER_USE_BROWSER_EXECUTABLE takes precedence.
Core workflow (agent loop)
- Capture a screenshot and send the user goal + screenshot to the model.
- Parse
function_callactions in the response. - Execute each action in Playwright.
- If a
safety_decisionisrequire_confirmation, prompt the user before executing. - Send
function_responseobjects containing the latest URL + screenshot. - Repeat until the model returns only text (no actions) or you hit the turn limit.
Operational guidance
- Run in a sandboxed browser profile or container.
- Use
--excludeto block risky actions you do not want the model to take. - Keep the viewport at 1440x900 unless you have a reason to change it.
Resources
- Script:
scripts/computer_use_agent.py - Reference notes:
references/google-computer-use.md - Env template:
env.example
What ships with it
22.6 KB alongside SKILL.md, 1 of them executable
GitHub clipped this repository’s file list, so this is at least 4 files and may be more.
references/
scripts/
- computer_use_agent.pyruns11.3 KB
- env.example409 B
- skill-report.json10.3 KB