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A skill to interact with web browsers using Playwright for advanced UI automation, analysis, and debugging.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Seamless bidirectional bridge between nanobot (Ollama Mistral orchestrator) and overstory (Claude Code agent swarm). Routes tasks through the OverClaw gateway (port 18800) to overstory for subagent coordination, syncs memory.
Integrates OpenClaw with the FunClip AI video editor to enable AI-powered video recognition and clipping via command line.
IMPORTANT: OpenRouter is required. Routes tasks to the right model and always delegates work through sessions_spawn. Rejects prompt-injection patterns in task strings (v1.7.6+).
Automatically create clips and videos from media files in a specified folder. Uses Agent Swarm for intelligent task delegation and supports cron-based scheduling.
Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.
Extracts and analyzes Cursor IDE chat history to identify key discoveries, obstacles, and solutions, saving findings to the journal.
| name | playwright-commander |
| displayName | Playwright Commander |
| description | A skill to interact with web browsers using Playwright for advanced UI automation, analysis, and debugging. |
| version | 0.1.0 |
This skill provides agents with a powerful interface to programmatically control web browsers using Playwright. It enables advanced UI automation, web content analysis, and debugging capabilities beyond what the default browser tool might offer directly.
This skill is designed for programmatic interaction via exec commands, typically orchestrated by an agent.
# Example: Launch browser and navigate
python3 scripts/playwright_cli.py launch_browser --browser chrome --headless true
# Example: Navigate to URL and take screenshot
python3 scripts/playwright_cli.py navigate --url "https://example.com" --screenshot "path/to/screenshot.png"
# Example: Get page content
python3 scripts/playwright_cli.py get_content --url "https://example.com" --type html
# Example: Click an element
python3 scripts/playwright_cli.py click_element --url "https://example.com" --selector "button.submit"
playwright) installed in the skill's virtual environment.playwright install).config.json)(To be defined if specific configuration beyond default Playwright options is needed.)
To give me more granular and robust control over web browser interactions, enabling more complex UI automation, detailed web page analysis, and better troubleshooting capabilities for browser-related issues, especially for the Mac App conversion project.