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Found 195 Skills
Debug HarmonyOS ArkWeb applications using Chrome DevTools Protocol. Use when Claude needs to: (1) Start ArkWeb debugging sessions, (2) Connect Chrome DevTools to HarmonyOS apps via hdc, (3) Inspect webview elements, console, and network, (4) Test ArkWeb applications with Chrome DevTools MCP, (5) Troubleshoot webview debugging issues, or (6) Manage port forwarding and debugging sessions. Automatically detects project configuration, device connection, and debugging sockets. Works with ohos-app-build-debug skill for complete workflow.
Expert guidance for R package development following best practices for devtools, testthat, roxygen2, and R ecosystem tools
Production-tested setup for Zustand state management in React. Includes patterns for persistence, devtools, and TypeScript patterns. Prevents hydration mismatches and render loops.
Use SweetLink to connect your AI agent to a real browser tab. Like Playwright, but works in your current tab. Enables authentication, screenshots, smoke tests, and DevTools telemetry without headless automation.
Use Chrome DevTools Protocol to allow the AI to "ask Gemini" or "research with Gemini" directly. This uses the user's logged-in Chrome session, bypassing API limits and leveraging the web interface's reasoning capabilities.
Capture current page layout, styles, and structure from a live web page using Chrome DevTools MCP. Use when you need to understand the existing UI before making changes — captures screenshots, DOM structure, computed styles, and layout properties. Useful as a pre-implementation baseline for frontend or UI-affecting changes.
Install AI UI components from the Elements registry. Use when user needs chat interfaces, agentic UIs (tool calls, reasoning, plans), multi-agent dashboards, or AI devtools. Triggers on "AI component", "chat UI", "agent UI", "tool call component", "streaming text", "agentic", "multi-agent", "AI SDK", "chat input", "message bubble", "thinking indicator".
Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading implementation guides. Cross-skill integration with Loading (TTFB impact), Media (responsive images), and Core Web Vitals (connection impact on LCP/INP). Use when the user asks about slow connections, mobile optimization, save-data support, or adaptive loading strategies. Compatible with Chrome DevTools MCP.
Intelligent interaction performance analysis with automated workflows for INP debugging, scroll jank investigation, and main thread blocking. Includes decision trees that automatically run script attribution when long frames detected, break down input latency phases, and correlate layout shifts with interactions. Features workflows for complete interaction audit, third-party script impact analysis, and animation performance debugging. Cross-skill integration with Core Web Vitals (INP/CLS correlation) and Loading (script execution analysis). Use when the user asks about slow interactions, janky scrolling, unresponsive pages, or INP optimization. Compatible with Chrome DevTools MCP.
Intelligent media optimization with automated workflows for images, videos, and SVGs. Includes decision trees that detect LCP images (triggers format/lazy-loading/priority analysis), identify layout shift risks (missing dimensions), and flag lazy loading issues (above-fold lazy or below-fold eager). Features workflows for complete media audit, LCP image investigation, video performance (poster optimization), and SVG embedded bitmap detection. Cross-skill integration with Core Web Vitals (LCP/CLS impact) and Loading (priority hints, resource preloading). Provides performance budgets and format recommendations based on content type. Use when the user asks about image optimization, LCP is an image/video, layout shifts from media, or media loading strategy. Compatible with Chrome DevTools MCP.
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.
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.