chrome-bridge-automation

Vision-driven browser automation using your real Chrome browser, preserving sessions and login state. Operates entirely from screenshots without requiring DOM access; interacts with all visible elements regardless of technology stack Connects to desktop Chrome via Midscene Extension through Chrome DevTools Protocol, never taking over mouse or keyboard Supports multi-step workflows including navigation, form filling, data extraction, UI testing, and screenshot capture Requires visual-grounding AI model configuration (Gemini, Qwen, Doubao, or similar) via environment variables before use

INSTALLATION
npx skills add https://github.com/web-infra-dev/midscene-skills --skill chrome-bridge-automation
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

$2e

npx @midscene/web@1 --bridge <subcommand> [args]
  • --bridge flag is MANDATORY here — it activates Bridge mode to connect to the user's desktop Chrome browser

Prerequisites

The user has already prepared Chrome and the Midscene Extension. Do NOT check browser or extension status before connecting — just connect directly.

Midscene requires models with strong visual grounding capabilities. The following environment variables must be configured — either as system environment variables or in a .env file in the current working directory (Midscene loads .env automatically):

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)

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: Qwen 3.5

MIDSCENE_MODEL_API_KEY="your-aliyun-api-key"

MIDSCENE_MODEL_NAME="qwen3.5-plus"

MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"

MIDSCENE_MODEL_FAMILY="qwen3.5"

MIDSCENE_MODEL_REASONING_ENABLED="false"

# If using OpenRouter, set:

# MIDSCENE_MODEL_API_KEY="your-openrouter-api-key"

# MIDSCENE_MODEL_NAME="qwen/qwen3.5-plus"

# MIDSCENE_MODEL_BASE_URL="https://openrouter.ai/api/v1"

Example: Doubao Seed 2.0 Lite

MIDSCENE_MODEL_API_KEY="your-doubao-api-key"

MIDSCENE_MODEL_NAME="doubao-seed-2-0-lite"

MIDSCENE_MODEL_BASE_URL="https://ark.cn-beijing.volces.com/api/v3"

MIDSCENE_MODEL_FAMILY="doubao-seed"

Commonly used models: Doubao Seed 2.0 Lite, Qwen 3.5, Zhipu GLM-4.6V, Gemini-3-Pro, Gemini-3-Flash.

If the model is not configured, ask the user to set it up. See Model Configuration for supported providers.

Commands

Connect to a Web Page

npx @midscene/web@1 --bridge connect --url https://example.com

Take Screenshot

npx @midscene/web@1 --bridge take_screenshot

After taking a screenshot, read the saved image file to understand the current page state before deciding the next action.

Perform Action

Use act to interact with the page and get the result. It autonomously handles all UI interactions internally — clicking, typing, scrolling, hovering, waiting, and navigating — so you should give it complex, high-level tasks as a whole rather than breaking them into small steps. Describe what you want to do and the desired effect in natural language:

# specific instructions

npx @midscene/web@1 --bridge act --prompt "click the Login button and fill in the email field with 'user@example.com'"

npx @midscene/web@1 --bridge act --prompt "scroll down and click the Submit button"

# or target-driven instructions

npx @midscene/web@1 --bridge act --prompt "click the country dropdown and select Japan"

Disconnect

npx @midscene/web@1 --bridge disconnect

Workflow Pattern

Bridge mode connects to the user's real Chrome browser. Each CLI command establishes its own temporary connection, but the browser, tabs, and all state (cookies, login sessions) are always preserved regardless of whether you disconnect. This makes reconnecting lightweight and lossless.

Follow this pattern:

  • Connect to a URL to establish a session
  • Take screenshot to see the current state, make sure the page is loaded.
  • Execute action using act to perform the desired action or target-driven instructions.
  • Report results — summarize what was accomplished, present key findings and data extracted during the task, and list any generated files (screenshots, logs, etc.) with their paths
  • Disconnect only when the user's overall task is fully complete. Do NOT disconnect if the user may have follow-up actions — keep the session available for continued interaction in subsequent conversation turns.

Best Practices

  • Always connect first: Navigate to the target URL with connect --url before any interaction.
  • Be specific about UI elements: Instead of "the button", say "the blue Submit button in the contact form".
  • Use natural language: Describe what you see on the page, not CSS selectors. Say "the red Buy Now button" instead of "#buy-btn".
  • Handle loading states: After navigation or actions that trigger page loads, take a screenshot to verify the page has loaded.
  • Disconnect only when fully done: Only disconnect when the user's overall task is completely finished and no follow-up actions are expected. In multi-turn conversations, skip the disconnect to allow continued browser interaction. Disconnecting is safe — it only closes the CLI-side bridge connection, not the browser or tabs — but reconnecting adds unnecessary overhead if the user wants to continue.
  • Never run in background: Every midscene command must run synchronously — background execution breaks the screenshot-analyze-act loop.
  • **Batch related operations into a single act command**: When performing consecutive operations within the same page, combine them into one act prompt instead of splitting them into separate commands. For example, "fill in the email and password fields, then click the Login button" should be a single act call, not three. This reduces round-trips, avoids unnecessary screenshot-analyze cycles, and is significantly faster.
  • Always report results after completion: After finishing the automation task, you MUST proactively present the results to the user without waiting for them to ask. This includes: (1) the answer to the user's original question or the outcome of the requested task, (2) key data extracted or observed during execution, (3) screenshots and other generated files with their paths, (4) a brief summary of steps taken. Do NOT silently finish after the last automation command — the user expects complete results in a single interaction.

Example — Dropdown selection:

npx @midscene/web@1 --bridge act --prompt "click the country dropdown and select Japan"

npx @midscene/web@1 --bridge take_screenshot

Example — Form interaction:

npx @midscene/web@1 --bridge act --prompt "fill in the email field with 'user@example.com' and the password field with 'pass123', then click the Log In button"

npx @midscene/web@1 --bridge take_screenshot

Troubleshooting

Bridge Mode Connection Failures

  • Ask user to check if Chrome is open with the Midscene Extension installed and enabled.
  • Check that the 'bridge mode' indicator in the extension shows "Listening" status.

Timeouts

  • Web pages may take time to load. After connecting, take a screenshot to verify readiness before interacting.
  • For slow pages, wait briefly between steps.

Screenshots Not Displaying

  • The screenshot path is an absolute path to a local file. Use the Read tool to view it.
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