web-infra-dev/midscene-skills

Última actividad de origen registrada: 5 de noviembre de 2026 a las 07:45

Catálogo de SkillsMP actualizado: 12 de noviembre de 2026 a las 12:52

skills recopiladas: 6

Estrellas en GitHub: 321
Forks en GitHub: 23

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Copia este prompt en el asistente de IA que estés usando.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/web-infra-dev/midscene-skills.

README del repositorio

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<p align="center"> <img alt="Midscene.js" width="260" src="https://github.com/user-attachments/assets/2e0b2957-2ab7-46ec-a4a1-21459e0a7e48"> </p> # Midscene Skills <strong> Vision-driven cross-platform automation </strong> - Natural-language driven UI control - Built on [Midscene.js](https://midscenejs.com)'s vision-based automation capabilities — Operates entirely from screenshots, making cross-platform support reliable - This repository contains Skills for the following platforms: - Browser (Puppeteer, headless Chrome; also supports CDP connection): [`skills/browser`](skills/browser) - Chrome Bridge (user's own Chrome browser): [`skills/chrome-bridge`](skills/chrome-bridge) - Desktop (macOS, Windows, Linux): [`skills/computer-automation`](skills/computer-automation) - Android (controlled via ADB): [`skills/android-automation`](skills/android-automation) - iOS (controlled via WebDriverAgent): [`skills/ios-automation`](skills/ios-automation) - HarmonyOS (controlled via HDC): [`skills/harmony-automation`](skills/harmony-automation) - Vitest + Midscene E2E (scaffold, convert, and manage AI-powered E2E tests for Web, Android, iOS): [`skills/vitest-midscene-e2e`](skills/vitest-midscene-e2e) ## Safety Warning ⚠️ AI-driven UI automation may produce unpredictable results since it can control EVERYTHING on the screen. Please evaluate the risks carefully before use. ## Installation Make sure you have [Node.js](https://nodejs.org) installed. Then install the skills: ```bash # General installation npx skills add web-infra-dev/midscene-skills # Claude Code npx skills add web-infra-dev/midscene-skills -a claude-code # OpenClaw npx skills add web-infra-dev/midscene-skills -a openclaw ``` ## Model Setup Midscene requires models with strong **visual grounding** capabilities (accurate UI element localization from screenshots). Because of this, you need to prepare model access and configuration separately from skill installation. Make sure these environment variables are available in your system. You can also define them in a `.env` file in the current directory, and Midscene will load them automatically: ```bash MIDSCENE_MODEL_API_KEY="your-api-key" MIDSCENE_MODEL_NAME="model-name" MIDSCENE_MODEL_BASE_URL="https://..." MIDSCENE_MODEL_FAMILY="family-identifier" ``` Example: Gemini (Gemini-3-Flash) ```bash MIDSCENE_MODEL_API_KEY="your-google-api-key" MIDSCENE_MODEL_NAME="gemini-3-flash" MIDSCENE_MODEL_BASE_URL="https://generativelanguage.googleapis.com/v1beta/openai/" MIDSCENE_MODEL_FAMILY="gemini" ``` Example: Qwen3-VL ```bash MIDSCENE_MODEL_API_KEY="your-openrouter-api-key" MIDSCENE_MODEL_NAME="qwen/qwen3-vl-235b-a22b-instruct" MIDSCENE_MODEL_BASE_URL="https://openrouter.ai/api/v1" MIDSCENE_MODEL_FAMILY="qwen3-vl" ``` Example: Doubao Seed 1.6 ```bash MIDSCENE_MODEL_API_KEY="your-doubao-api-key" MIDSCENE_MODEL_NAME="doubao-seed-1-6-250615" MIDSCENE_MODEL_BASE_URL="https://ark.cn-beijing.volces.com/api/v3" MIDSCENE_MODEL_FAMILY="doubao-vision" ``` Commonly used models: Doubao Seed 1.6, Qwen3-VL, Zhipu GLM-4.6V, Gemini-3-Pro, Gemini-3-Flash. Model setup docs: - Midscene model strategy: https://midscenejs.com/model-strategy - Qwen3-VL: https://midscenejs.com/model-common-config#qwen3-vl - Gemini-3-Flash: https://midscenejs.com/model-common-config#gemini-3-pro-and-gemini-3-flash - Doubao Seed 1.6: https://midscenejs.com/model-common-config ## Use In your chatbot or coding agent, you can say: ``` Use Midscene computer skill to open the Keynote app and create a new presentation. ``` ``` Use Midscene browser skill to open the Google search page and search for "Midscene". ``` ## Issues For bug reports, feature requests, and discussions, please visit the main Midscene repository: https://github.com/web-infra-dev/midscene/issues ## License MIT

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browser-automation

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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…