Google Research Pro
/install google-research-pro
Google_Research_Pro\r
\r Performs advanced Google searches using Playwright to bypass bot detection, focusing on technical documentation, GitHub repositories, and usage guides for OpenClaw projects. Results are summarized and sent to a specified Telegram channel.\r \r
Overview\r
\r
- Skill name: Google_Research_Pro\r
- Purpose: Enhance web searching with robust, bot-bypass-capable Playwright automation to fetch technical OpenClaw resources from Google.\r
- Output: A Markdown-formatted summary of top results, delivered to Telegram channel (via a separate workflow step).\r \r
Workflow\r
\r This skill implements a workflow to enhance web searching capabilities by simulating real user behavior with Playwright.\r \r
1. UserInput\r
\r
- Description: Receives the search keyword from the user.\r
- Input: keyword (string)\r \r
2. ExecutePythonScript\r
\r
- Description: Executes a Python script that uses Playwright to perform an advanced Google search for the given keyword, targeting technical OpenClaw resources.\r
- Input: keyword (string) from UserInput\r
- Action: Run Python script\r
- Command: python C:\Users\Admin\OneDrive\Desktop\LearnOpCL\bot.py "{keyword}"\r
- Working directory: C:\Users\Admin\OneDrive\Desktop\LearnOpCL\r
- Notes: Ensure Playwright browsers are installed (playwright install)\r \r
- Output: search_results (structured data, e.g., JSON) containing titles and summaries from the top 3-5 results\r \r
3. ProcessResults\r
\r
- Description: Formats the extracted search results into a Markdown string.\r
- Input: search_results\r
- Action: Transform into a concise Markdown summary\r \r
- Output: formatted_summary (Markdown string)\r \r
4. SendToTelegram\r
\r
- Description: Sends the formatted summary to the specified Telegram channel\r
- Input: formatted_summary\r
- Action: Send message via Telegram bot/channel\r
- Destination: Telegram channel/user ID (example: 6830424983)\r
- Content: formatted_summary (Markdown)\r \r
- Output: Confirmation of sending or error status\r \r
Implementation Notes\r
\r
- ExecutePythonScript assumes bot.py can accept a keyword argument and return a structured result.\r
- The top-3-5 results should include: title, URL, and a short summary/snippet.\r
- The formatting should be Markdown-friendly for Telegram delivery.\r
- If the Telegram integration requires a token or bot setup, separate configuration steps are needed.\r \r
Security & Compliance\r
\r
- This workflow uses Playwright to simulate real user behavior. Ensure compliance with Google terms of service and local laws.\r
- Do not expose credentials in this file. Use environment variables or a secure vault for sensitive data (e.g., Telegram bot token, Google account credentials if needed).
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install google-research-pro - 安装完成后,直接呼叫该 Skill 的名称或使用
/google-research-pro触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Google Research Pro 是什么?
Performs advanced Google searches with Playwright for OpenClaw technical resources and summarizes results for Telegram channel delivery in Markdown format. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 113 次。
如何安装 Google Research Pro?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install google-research-pro」即可一键安装,无需额外配置。
Google Research Pro 是免费的吗?
是的,Google Research Pro 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Google Research Pro 支持哪些平台?
Google Research Pro 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Google Research Pro?
由 sonpham1909(@sonpham1909)开发并维护,当前版本 v1.0.0。