Browser Automation

Dependencies

A bridgic-browser project requires the following packages:

Additionally, browser binaries must be installed once: uv run playwright install chromium.

Installation: Run the install script to set up all dependencies:

bash "skills/bridgic-browser/scripts/install-deps.sh" "$PWD"
本技能來自小蔥技能站7w4.net。

The script checks uv availability, initializes a uv project if needed, installs missing packages, and ensures Playwright chromium is available.

Strategies & Guidelines (Important!!)

Notes:

• Whenever invoking the bridgic-browser CLI, you must call it using uv run.
• If the user clearly specifies exact steps that must be followed, try to perform the exploration according to those steps. If loops or branches appear during exploration, decide the best exploration path autonomously.
• If you think you may need to return to the original page after clicking into a new page, try opening the new page in a new browser tab instead of using a “click then go back” approach. This is especially important when the original page already has interaction state (such as filled forms or applied filters); otherwise, that state may be lost after navigating back. Be sure to close the new tab promptly after finishing the related actions.
• If exploration involves repeatedly clicking items in a list, you do not need to traverse every item (especially when the list is large).
• If login, verification, or authorization is required during exploration, pause and ask the user to complete it manually, unless the user explicitly provides instructions in the task.
• To avoid operating on websites too frequently, maintain human-like access intervals during both exploration and coding. You may simulate random wait times to reduce the risk of being blocked. Note: the bridgic-browser wait command parameter is in seconds, not milliseconds; for example, bridgic-browser wait 2 or bridgic-browser wait 3.2.
• After finishing exploration and code writing, automatically run testing/validation.
• CDP mode tab visibility: when attached via --cdp to a user's running Chrome, tabs / switch-tab / close-tab only see pages bridgic itself opened (the initial blank tab plus anything spawned from it via new-tab or a click on a target="_blank" link). The user's other tabs are deliberately invisible to bridgic — never assume you can switch-tab into them. To work with such a tab, ask the user to navigate to it through bridgic, or use new-tab <url>.

Reference Files

Reference files cover all use cases. Load only the one(s) relevant to the task:

Interface Decision Rules

1. Output requested as shell commands or scripts → use CLI guide first (references/cli-guide.md).
2. Output requested as runnable Python code (async, Browser, tool builder) → use SDK guide first (references/sdk-guide.md).
3. Input is CLI outputs or actions but output needs to be Python code → use mapping guide first (references/cli-sdk-api-mapping.md), then SDK guide for final code generation (references/sdk-guide.md).
4. If intent is ambiguous, infer from requested artifacts (.sh / terminal session vs .py script).

Common Usage (CLI + SDK)

• Ref-based actions depend on the latest snapshot.
• After navigation or major DOM updates, refs can become stale; refresh snapshot before ref actions.
• CLI keeps state in a daemon session across invocations. Set BRIDGIC_HOME env var to run multiple independent daemon instances (each with its own socket, logs, and user data).
• SDK keeps state in the Python process/context. By default, browser profile (cookies, session) is persisted to $BRIDGIC_HOME/bridgic-browser/user_data/ (default ~/.bridgic/...); pass clear_user_data=True to Browser() for an ephemeral session.
• Use exact command/method names from references; do not invent aliases.

Bridge Workflow: CLI Actions -> Python Code

1. Parse CLI steps in order.
2. Map each step using references/cli-sdk-api-mapping.md.
3. Preserve behavior details: refs, options, arguments, configuration, etc.
4. Emit runnable async Python code with explicit browser lifecycle (async with Browser(...) preferred).
5. Call out any behavior differences that cannot be represented 1:1.

Minimal Quality Checklist

• CLI request: return valid CLI commands/options only.
• SDK request: return executable async Python with correct imports.
• Bridge request: include mapping rationale plus final SDK code.

這個 Skill 質量紮實，文件結構清晰、示例豐富，CLI 和 Python SDK 兩套介面都有詳細說明，環境配置和瀏覽器連線方式寫得很清楚。安裝指令碼自動化程度高，錯誤處理完善。不足之處是版本號偏低（0.0.5），某些高階功能展開不夠，故障排除方面的內容偏少，新手遇到問題可能需要自行摸索。總體而言，這是一個成熟度較高、文件友好的瀏覽器自動化工具。