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Neon Serverless Postgres 使用指南与最佳实践。涵盖入门、使用 Neon 进行本地开发、选择连接方式、Neon……

使用 Chrome DevTools MCP 进行专家级的浏览器自动化、调试与性能分析。用于与网页交互、截取屏幕截图、…

Vision-driven browser automation using Midscene. Operates from screenshots — no DOM or accessibility labels needed. Runs in headless Puppeteer — does NOT take over the user's mouse or keyboard. Also supports CDP mode and Bridge mode to connect to an existing Chrome. Use this skill when the user wants to: - Browse, navigate, or open web pages - Scrape, extract, or collect data from websites - Fill out forms, click buttons, or interact with web elements - Verify, validate, test, or QA frontend UI behavior - Take screenshots of web pages - Automate multi-step web workflows - Test what was just built, see if it works in browser - Connect to Chrome via CDP, DevTools Protocol, or remote debugging - Connect to user's Chrome browser, control my browser, operate my Chrome Powered by Midscene.js (https://midscenejs.com)

使用 Midscene 实现视觉驱动的桌面自动化。通过自然语言指令控制你的桌面。完全基于屏幕截图运行——无需 DOM 或无障碍标签。能够与屏幕上所有可见元素进行交互，不受技术栈限制。⚠️ 会接管用户真实的鼠标和键盘。对于 Web 应用，请优先选择“浏览器自动化”。仅适用于无法在浏览器中运行的桌面原生应用（Electron、Qt、macOS/Windows/Linux 原生应用）。触发词：打开应用、按下按键、desktop、computer、点击屏幕、输入文本、截取桌面、启动应用、切换窗口、桌面自动化、控制电脑、鼠标点击、键盘快捷键、屏幕截图、在屏幕上查找、读取屏幕、验证窗口、关闭应用、测试 Electron 应用。由 Midscene.js (https://midscenejs.com) 提供支持

Google Calendar 和 Outlook 自动化 - 日程优化、会议工作流、时间分块，以及 Slack/Sheets 集成

使用 Convex Agent 组件构建 AI 智能体，包括线程管理、工具集成、流式响应、RAG 模式和工作流编排

Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spring context, integrates RAG pipelines…

Send Google Chat messages via incoming webhooks — text, rich cards (cardsV2), threaded replies. TypeScript types, card builder utility, widget reference…

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web…

Vision-driven browser automation using Midscene Bridge mode. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Connects to the user's desktop Chrome browser via the Midscene Chrome Extension, preserving cookies, sessions, and login state. Does NOT take over the user's mouse or keyboard — operates through Chrome DevTools Protocol. Use this skill when the user wants to: - Browse, navigate, or open web pages in the user's own Chrome browser - Interact with pages that require login sessions, cookies, or existing browser state - Scrape, extract, or collect data from websites using the user's real browser - Fill out forms, click buttons, or interact with web elements - Verify, validate, test, or QA frontend UI behavior - Take screenshots of web pages - Automate multi-step web workflows - Test what was just built, validate the UI in real browser Powered by Midscene.js (https://midscenejs.com)

Entry P1 category router for file access and upload workflows. Use when testing download endpoints, file paths, local file inclusion, upload flows, preview pipelines, archive extraction, or storage and sharing boundaries.

Reference skill for Zoom WebSockets. Use after routing to a low-latency event workflow when persistent connections, faster event delivery, or security…

Debug a broken Zoom integration by isolating the failure point and routing into the right Zoom references. Use when auth, API, webhook, SDK, or MCP behavior is…

Debug broken Zoom implementations quickly. Use when auth, webhooks, SDK joins, MCP transport, or real-time media workflows are failing and you need to isolate…

Reference skill for Zoom Phone. Use after routing to a phone workflow when implementing OAuth, Phone APIs, webhooks, Smart Embed events, URI schemes, CRM or…

Reference skill for Zoom Contact Center. Use after routing to a contact-center workflow when implementing app, web, or native integrations; engagement context…

Reference skill for Zoom Virtual Agent. Use after routing to a virtual-agent workflow when implementing web embeds, Android or iOS wrapper integrations,…

Manages automated dynamic/trailing stop losses (DSL only) for leveraged perpetual positions on Hyperliquid. Default mode: High Water (pct_of_high_water) — the trailing floor is a percentage of the peak ROE, recalculated every tick, no ceiling. Also supports fixed ROE tiers for legacy positions. Monitors price via cron, ratchets profit floors through configurable tiers, syncs the stop loss to Hyperliquid via edit_position, and auto-closes positions on breach via mcporter. Supports LONG and SHORT, strategy-scoped state isolation, and automatic cleanup.

Automate browser interactions, test web pages and work with Playwright tests.

Rslib best practices for config, CLI workflow, output, declaration files, dependency handling, build optimization and toolchain integration. Use when writing,…