chrome-automation 是做什么的？
使用 agent-browser CLI 自动化 Chrome 浏览器任务：导航页面、填写表单、点击按钮、截取屏幕、提取数据，并在用户的真实 Chrome 会话中回放录制的工作流。
使用 agent-browser CLI 自动化 Chrome 浏览器任务：导航页面、填写表单、点击按钮、截取屏幕、提取数据，并在用户的真实 Chrome 会话中回放录制的工作流。
这是一个基于 CLI 工具 agent-browser 的 Chrome 浏览器自动化技能。它允许开发者通过自然语言或者预定义脚本，实现页面导航、表单填写、按钮点击、截图、数据提取等常见浏览器操作，并且支持回放用户预先录制的操作工作流。该技能最大的特点是运行在用户的真实 Chrome 会话中，而非无头浏览器，因此能够利用用户已有的登录态、Cookie 和扩展，极大降低了认证和环境配置的复杂度。它支持多种 AI 编程助手平台（如 Claude Code、Cursor 等），适用于网页测试、数据抓取、自动化表单填写和端到端场景复现等场景。通过简单的 CLI 命令即可完成任务，降低了浏览器自动化门槛，提高了开发效率。
npx skills add https://github.com/zc277584121/marketing-skills/tree/main/skills/chrome-automationInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
使用 agent-browser CLI 自动化 Chrome 浏览器任务：导航页面、填写表单、点击按钮、截取屏幕、提取数据，并在用户的真实 Chrome 会话中回放录制的工作流。
This repo contains 12 individual skills — each has its own dedicated page.
Take focused, region-specific screenshots from web pages. Navigates to the right page based on user context (URL, search query, social media post), locates the target region via DOM selectors, and crops to a clean, focused screenshot.
Adapt and rewrite content for different platforms (LinkedIn, X, Reddit, English blog, WeChat). Each platform has its own tone, format, and length requirements.
Fetch, store, and visualize GitHub repository traffic data (views, clones, referrers, stars) with trend charts. Requires repo push access.
Generate illustration images for articles and documentation with a Codex-first workflow, OpenAI API fallback, and Gemini fallback.
Write Milvus application-level Jupyter notebook examples using a Markdown-first workflow with jupyter-switch for format conversion.
Convert local Markdown files to Feishu (Lark) documents with automatic image uploading. Uses the feishu-docx CLI tool.
Convert Mermaid code blocks in .mmd or .md files to animated GIFs with customizable animation styles (progressive, highlight walk, pulse flow, wave).
Convert Mermaid code blocks in Markdown files to PNG images using the mermaid.ink API.
Post-process raw screen recordings by removing silent segments and applying speed adjustments. Uses FFmpeg-based Python scripts to optimize video pacing automatically.
Review and adjust writing style to reduce AI-generated patterns, making text read more naturally and human-like. Supports Chinese and English.
Compress PNG and JPEG screenshots in place using pngquant and jpegoptim, keeping the original format for maximum compatibility.
Convert a video to multiple GIF variants with different quality/size tradeoffs. Generates a comparison set so the user can visually pick the best result.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
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