Overview
- Skill Key
- am-will/gemini-computer-use
- Author
- am-will
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/am-will/gemini-computer-use
- Latest Commit SHA
- 0b71494672d1670f439f834868755bcc5da6421a
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.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 gemini-computer-use 技能。 若已安装,则直接安装 gemini-computer-use 技能。
# Gemini Computer Use
## Quick start
1. Source the env file and set your API key:
```bash
cp env.example env.sh
$EDITOR env.sh
source env.sh
```
2. Create a virtual environment and install dependencies:
```bash
python -m venv .venv
source .venv/bin/activate
pip install google-genai playwright
playwright install chromium
```
3. Run the agent script with a prompt:
```bash
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)
1. Capture a screenshot and send the user goal + screenshot to the model.
2. Parse `function_call` actions in the response.
3. Execute each action in Playwright.
4. If a `safety_decision` is `require_confirmation`, prompt the user before executing.
5. Send `function_response` objects containing the latest URL + screenshot.
6. 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 `--exclude` to 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`
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