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chrome-automation镀铬自动化

Agent Skill

chrome-automation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:chrome-automation(镀铬自动化)
来源仓库:https://github.com/zc277584121/marketing-skills
仓库路径:skills/chrome-automation
安装命令:
npx skills add https://github.com/zc277584121/marketing-skills --skill chrome-automation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zc277584121/marketing-skills --skill chrome-automation

简介

chrome-automation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配和来源线索筛选等研究检索场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装,具体用法需结合 README 进一步确认。
  • 安装前建议检查权限范围、维护状态及是否涉及联网或文件操作。
  • 可结合原始仓库和 SKILL.md 文档核验实际功能与限制条件。

SKILL.md

Skill: Chrome Automation (agent-browser)

Automate browser tasks in the user's real Chrome session via the agent-browser CLI.

Prerequisite: agent-browser must be installed and Chrome must have remote debugging enabled. See references/agent-browser-setup.md if unsure.

Core Principle: Reuse the User's Existing Chrome

This skill operates on a single Chrome process — the user's real browser. There is no session management, no separate profiles, no launching a fresh Playwright browser.

Always Start by Listing Tabs

Before opening any new page, always list existing tabs first:

agent-browser --auto-connect tab list

This returns all open tabs with their index numbers, titles, and URLs. Check if the page you need is already open:

  • If the target page is already open → switch to that tab directly instead of opening a new one. The user likely has it open because they are already logged in and the page is in the right state. agent-browser --auto-connect tab <index>
  • If the target page is NOT open → open it in the current tab or a new tab. agent-browser --auto-connect open <url>

Why This Matters

  • The user's Chrome has their cookies, login sessions, and browser state
  • Opening a new page when one is already available wastes time and may lose login state
  • Many marketing platforms (social media dashboards, ad managers, CMS tools) require login — reusing an existing logged-in tab avoids re-authentication

Connection

Always use --auto-connect to connect to the user's running Chrome instance:

agent-browser --auto-connect <command>

This auto-discovers Chrome with remote debugging enabled. If connection fails, guide the user through enabling remote debugging (see references/agent-browser-setup.md).


Common Workflows

1. Navigate and Interact

# List tabs to find existing pages
agent-browser --auto-connect tab list

# Switch to an existing tab (if found)
agent-browser --auto-connect tab <index>

# Or open a new page
agent-browser --auto-connect open https://example.com
agent-browser --auto-connect wait --load networkidle

# Take a snapshot to see interactive elements
agent-browser --auto-connect snapshot -i

# Click, fill, etc.
agent-browser --auto-connect click @e3
agent-browser --auto-connect fill @e5 "some text"

2. Extract Data from a Page

# Get all text content
agent-browser --auto-connect get text body

# Take a screenshot for visual inspection
agent-browser --auto-connect screenshot

# Execute JavaScript for structured data
agent-browser --auto-connect eval "JSON.stringify(document.querySelectorAll('table tr').length)"

3. Replay a Chrome DevTools Recording

The user may provide a recording exported from Chrome DevTools Recorder (JSON, Puppeteer JS, or @puppeteer/replay JS format). See Replaying Recordings below.


Step-by-Step Interaction Guide

Taking Snapshots

Use snapshot -i to see all interactive elements with refs (@e1, @e2,...):

agent-browser --auto-connect snapshot -i

The output lists each interactive element with its role, text, and ref. Use these refs for subsequent actions.

Step Type Mapping

ActionCommand
Navigateagent-browser --auto-connect open <url> (optionally wait --load networkidle, but some sites like Reddit never reach networkidle — skip if open already shows the page title)
Clicksnapshot -i → find ref → click @eN
Fill standard inputclick @eNfill @eN "text"
Fill rich text editorclick @eNkeyboard inserttext "text"
Press keypress <key> (Enter, Tab, Escape, etc.)
Scrollscroll down <amount> or scroll up <amount>
Wait for elementwait @eN or wait "<css-selector>"
Screenshotscreenshot or screenshot --annotate
Get page textget text body
Get current URLget url
Run JavaScripteval <js>

How to Distinguish Input Types

  • Standard input/textarea → use fill
  • Contenteditable div / rich text editor (LinkedIn message box, Gmail compose, Slack, CMS editors) → click/focus first, then use keyboard inserttext

Ref Lifecycle

Refs (@e1, @e2,...) are invalidated when the page changes. Always re-snapshot after:

  • Clicking links or buttons that trigger navigation
  • Submitting forms
  • Triggering dynamic content loads (AJAX, SPA navigation)

Verification

After each significant action, verify the result:

agent-browser --auto-connect snapshot -i   # check interactive state
agent-browser --auto-connect screenshot     # visual verification

Replaying Recordings

Accepted Formats

  1. JSON (recommended) — structured, can be read progressively: # Count steps jq '.steps | length' recording.json # Read first 5 steps jq '.steps[0:5]' recording.json
  2. @puppeteer/replay JS (import {createRunner})
  3. Puppeteer JS (require('puppeteer'), page.goto, Locator.race)

How to Replay

  1. Parse the recording — understand the full intent before acting. Summarize what the recording does.
  2. List tabs first — check if the target page is already open.
  3. Navigate — execute navigate steps, reusing existing tabs when possible.
  4. For each interaction step:

- Take a snapshot (snapshot -i) to see current interactive elements - Match the recording's aria/... selectors against the snapshot - Fall back to text/..., then CSS class hints, then screenshot - Do not rely on ember IDs, numeric IDs, or exact XPaths — these change every page load

  1. Verify after each step — snapshot or screenshot to confirm

Iframe-Heavy Sites

snapshot -i operates on the main frame only and cannot penetrate iframes. Sites like LinkedIn, Gmail, and embedded editors render content inside iframes.

Detecting Iframe Issues

  • snapshot -i returns unexpectedly short or empty results
  • Recording references elements not appearing in snapshot output
  • get text body content doesn't match what a screenshot shows

Workarounds

  1. Use eval to access iframe content: agent-browser --auto-connect eval --stdin <<'EVALEOF' const frame = document.querySelector('iframe[data-testid="interop-iframe"]'); const doc = frame.contentDocument; const btn = doc.querySelector('button[aria-label="Send"]'); btn.click(); EVALEOF Note: Only works for same-origin iframes.
  2. Use keyboard for blind input: If the iframe element has focus, keyboard inserttext "..." sends text regardless of frame boundaries.
  3. Use get text body to read full page content including iframes.
  4. Use screenshot for visual verification when snapshot is unreliable.

When to Ask the User

If workarounds fail after 2 attempts on the same step, pause and explain:

  • The page uses iframes that cannot be accessed via snapshot
  • Which element you need and what you expected
  • Ask the user to perform that step manually, then continue

Handling Unexpected Situations

Handle Automatically (do not stop):

  • Popups or banners → dismiss them (find text "Dismiss" click or find text "Close" click)
  • Cookie consent dialogs → accept or dismiss
  • Tooltip overlays → close them first
  • Element not in snapshot → try find text "..." click, or scroll to reveal with scroll down 300

Pause and Ask the User:

  • Login / authentication is required
  • A CAPTCHA appears
  • Page structure is completely different from expected
  • A destructive action is about to happen (deleting data, sending real content) — confirm first
  • Stuck for more than 2 attempts on the same step
  • All iframe workarounds have failed

When pausing, explain clearly: what step you are on, what you expected, and what you see.


Key Commands Reference

CommandDescription
tab listList all open tabs with index, title, and URL
tab <index>Switch to an existing tab by index
tab newOpen a new empty tab
tab closeClose the current tab
open <url>Navigate to URL
snapshot -iList interactive elements with refs
click @eNClick element by ref
fill @eN "text"Clear and fill standard input/textarea
type @eN "text"Type without clearing
keyboard inserttext "text"Insert text (best for contenteditable)
press <key>Press keyboard key
scroll down/up <amount>Scroll page in pixels
wait @eNWait for element to appear
wait --load networkidleWait for network to settle
wait <ms>Wait for a duration
screenshot [path]Take screenshot
screenshot --annotateScreenshot with numbered labels
eval <js>Execute JavaScript in page
get text bodyGet all text content
get urlGet current URL
set viewport <w> <h>Set viewport size
find text "..." clickSemantic find and click
closeClose browser session

Known Limitations

  1. Iframe blindness: snapshot -i cannot see inside iframes. See Iframe-Heavy Sites.
  2. find text strict mode: Fails when multiple elements match. Use snapshot -i to locate the specific ref instead.
  3. fill vs contenteditable: fill only works on <input> and <textarea>. For rich text editors, use keyboard inserttext.
  4. eval is main-frame only: To interact with iframe content, traverse via document.querySelector('iframe').contentDocument...

Multi-Platform Operations

When the user requests an action across multiple platforms (e.g., "publish this article to Dev.to, LinkedIn, and X"), do NOT attempt all platforms in a single conversation. Instead, launch sequential Agent subagents, one per platform.

Why Subagents

Each platform operation consumes ~25-40K tokens (reference file + snapshots + interactions). Running 3-5 platforms in one context risks hitting the 200K token limit and degrading late-platform accuracy. Each subagent gets its own fresh 200K context window.

How to Execute

  1. Prepare the content — confirm the post text, title, tags, and any platform-specific adaptations with the user.
  2. For each platform, launch a general-purpose Agent subagent with a prompt that includes:

- The full content to publish - Instructions to read the relevant reference file (e.g., Read /path/to/skills/chrome-automation/references/x.md) - Instructions to read the agent-browser skill file for command reference - The specific task (post, comment, reply, etc.) - Any platform-specific instructions (e.g., "use these hashtags on LinkedIn")

  1. Run subagents sequentially (one at a time), because they all share the same Chrome browser via --auto-connect. Parallel subagents would cause tab conflicts.
  2. After each subagent completes, report the result to the user before launching the next one.

Prompt Template for Subagents

You are automating a browser task on [PLATFORM].

First, read these files for context:
- /absolute/path/to/skills/chrome-automation/references/[platform].md
- /absolute/path/to/.claude/skills/agent-browser/SKILL.md (agent-browser command reference)

Then connect to the user's Chrome browser using `agent-browser --auto-connect` and perform the following task:

[TASK DESCRIPTION]

Content to publish:
[CONTENT]

Important:
- Always list tabs first (`tab list`) and reuse existing logged-in tabs
- Re-snapshot after every navigation or action
- Confirm with the user before submitting/publishing (destructive action)
- If login is required or a CAPTCHA appears, stop and explain

When NOT to Use Subagents

  • Single platform — just do it directly in the current conversation.
  • Read-only tasks (browsing, searching, extracting data) — context usage is lighter; a single conversation can handle 2-3 platforms.

Platform References

When automating tasks on specific platforms, consult the relevant reference document for page structure details, common operations, and known quirks:

PlatformReferenceKey Notes
Redditreferences/reddit.mdCustom faceplate-* components; networkidle never reached; unlabeled comment textbox; find text fails due to duplicate elements
X (Twitter)references/x.mdopen often times out (use tab list to reuse existing tabs); click timestamp for post detail (not username); DraftJS contenteditable input (data-testid="tweetTextarea_0"); avoid networkidle
LinkedInreferences/linkedin.mdEmber.js SPA; Enter submits comments (use Shift+Enter for newlines); comment box and compose box share the same label; avoid networkidle; messaging overlay may block content
Dev.toreferences/devto.mdFast server-rendered HTML (Forem/Rails); standard <textarea> for comments/posts (Markdown); 5 reaction types; Algolia-powered search; networkidle works normally
Hacker Newsreferences/hackernews.mdMinimal plain HTML; all form fields are unlabeled; link "reply" navigates to separate page; networkidle works instantly; rate limiting on posts/comments

For installation and Chrome setup instructions, see references/agent-browser-setup.md.

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能力 4

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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安装前确认

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