From sundial-org-awesome-openclaw-skills-4
Builds and runs Gemini 2.5 Computer Use agents with Playwright for browser automation. Implements agent loops (screenshot → function_call → action → response) with safety confirmations for risky UI actions.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4This skill uses the workspace's default tool permissions.
1. Source the env file and set your API key:
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
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
COMPUTER_USE_BROWSER_CHANNEL.COMPUTER_USE_BROWSER_EXECUTABLE.If both are set, COMPUTER_USE_BROWSER_EXECUTABLE takes precedence.
function_call actions in the response.safety_decision is require_confirmation, prompt the user before executing.function_response objects containing the latest URL + screenshot.--exclude to block risky actions you do not want the model to take.scripts/computer_use_agent.pyreferences/google-computer-use.mdenv.example