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A skill to interact with web browsers using Playwright for advanced UI automation, analysis, and debugging.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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.
SOC 직업 분류 기준
| 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.