Stream browser logs to terminal for AI coding assistants. Ideal for developers using Cursor AI, Claude Code, GitHub Copilot CLI, or Gemi. No setup required, works with TypeScript.
git clone https://github.com/instructa/browser-echo.gitThe browser-echo skill is an innovative automation tool designed to stream browser logs directly to your terminal, facilitating real-time monitoring and debugging without any setup hassle. This skill is particularly beneficial for developers and AI practitioners who require immediate access to browser logs for analysis or troubleshooting. With a focus on efficiency, browser-echo allows you to bypass traditional logging methods, enabling a more streamlined development process. One of the key benefits of using browser-echo is the significant time savings it offers. By eliminating the need for complex configurations and setups, users can implement this skill in just 30 minutes. This rapid deployment allows teams to focus on their core tasks, enhancing productivity and reducing the time spent on logging issues. While the exact time savings are currently unknown, the immediate availability of browser logs can lead to quicker resolutions of problems, ultimately saving hours in development cycles. This skill is ideal for developers, product managers, and AI practitioners who work in environments where real-time data is crucial. Whether you are debugging a web application or monitoring user interactions, browser-echo provides the necessary insights to improve your workflows. Its medium GTM relevance suggests that while it may not be essential for every project, it offers significant value in scenarios where immediate access to browser logs is required. Implementing the browser-echo skill is classified as intermediate in difficulty, making it accessible for those with a basic understanding of AI automation and workflow automation. It fits seamlessly into AI-first workflows by enhancing the capabilities of AI agents, allowing them to react and adapt based on real-time data. For example, a developer could use browser-echo to monitor user behavior during testing phases, enabling rapid adjustments to the application based on live feedback. Overall, browser-echo is a powerful addition to any automation toolkit, streamlining processes and enhancing productivity.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/instructa/browser-echoCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a browser log streamer. I will provide a URL and you will simulate streaming the browser logs to the terminal in real-time. Start by saying 'Streaming logs for [URL]...' and then output the logs in a structured format. Include timestamps, log levels, and relevant messages. For example: [TIMESTAMP] [LOG LEVEL] [MESSAGE]. Continue streaming logs for about 10-15 lines, then stop and say 'Log streaming completed.'
```markdown # Browser Log Streamer Streaming logs for https://www.example.com/... [10:00:01 AM] [INFO] Loading page: https://www.example.com/ [10:00:02 AM] [DEBUG] Requesting resource: styles.css [10:00:03 AM] [INFO] Resource loaded: styles.css [10:00:04 AM] [DEBUG] Requesting resource: script.js [10:00:05 AM] [INFO] Resource loaded: script.js [10:00:06 AM] [WARN] Deprecated API call detected: console.log [10:00:07 AM] [INFO] Executing JavaScript: initPage() [10:00:08 AM] [DEBUG] Event fired: DOMContentLoaded [10:00:09 AM] [INFO] Page fully loaded [10:00:10 AM] [DEBUG] Requesting resource: image.png [10:00:11 AM] [INFO] Resource loaded: image.png [10:00:12 AM] [DEBUG] Requesting resource: data.json [10:00:13 AM] [INFO] Resource loaded: data.json [10:00:14 AM] [DEBUG] Parsing JSON data [10:00:15 AM] [INFO] Data parsing completed Log streaming completed. ```
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