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Found 49 Skills
AI-assisted TradingView chart analysis and automation via Chrome DevTools Protocol for Claude Code
Debug Android WebView, browsers, and Node.js using Chrome DevTools through FoldDevtools with root or remote debugging
使用 Chrome DevTools MCP 提取和分析网页文章内容。当用户请求获取网页内容、阅读在线文章、从网站提取文本、捕获网页快照或分析网页结构时使用。支持多种提取格式包括纯文本、HTML 和结构化内容。特别优化了微信公众号等有安全限制的网站。
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions "largest contentful paint", "page load speed", "CWV", or wants to improve how fast their hero image or main content renders.
Parse current CNKI search results page into structured paper data (title, authors, journal, date, citations). Use after a search has been performed and you need to extract the results.
A Python CLI for interacting directly with the user's running Chromium browser via the Chrome DevTools Protocol (CDP). Connects via WebSocket to inspect pages, extract data, evaluate JS, and automate UI actions in open tabs. Requires explicit user approval; a background daemon ensures the "Allow debugging" prompt only requires one approval per tab.
Use when the user asks to capture a full-page screenshot, long screenshot, or complete page capture of a web page. Handles SPA scroll containers, lazy-loaded images, and very tall pages via Chrome DevTools Protocol with zero external dependencies.
Control and automate real browser sessions through CDP, preserving login state and cookies for LLM-driven interactions
MCP server for comprehensive Node.js debugging via Chrome DevTools Protocol with breakpoints, stepping, variable inspection, and source maps
Agent-ergonomic browser automation with token-efficient accessibility tree snapshots and combined operations
Diagnose MCP validation dependencies (Brave Search, Chrome DevTools) and output exact setup snippets.
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.