skills README

The project's README from github.com/browser-act/skills. As one markdown file: README.md.

BrowserAct Logo

Discord GitHub Stars License

Website X (Twitter) LinkedIn YouTube


What can BrowserAct be used for?

BrowserAct enables AI agents and teams to perform real-browser automation, web data extraction, and account-based workflows.

It helps agents get past anti-bot walls, hand off to humans across platforms when stuck, run parallel tasks without cross-contamination, and isolate multiple accounts in independent browsers, backed by stealth fingerprints, TLS rotation, residential proxies, CAPTCHA solving, and stable fingerprint-proxy setups for authenticated sessions.

Two usage modes are available: fully cloud-managed execution, or local browser control driven by your own agent workflow.

Use BrowserAct in the cloud

No agent setup required, with lower operating cost. Describe the website, filters, and fields you need. BrowserAct builds and tests a reusable scraping Bot in a real cloud browser, then runs it from the cloud. Build once. Run reliably. Improve continuously.

BrowserAct Cloud extracts data from any website with one prompt at a lower cost per run

Start from BrowserAct Cloud →

Watch demo: Build a Web Scraper from One Prompt | BrowserAct →

Use BrowserAct locally with Skills

Use BrowserAct Skills when you want local browser control, local Chrome login-state reuse, or direct integration into your own AI agent workflow.

Your agent can load the BrowserAct Skill, discover browser state with get-skills, and run browser automation commands directly from your local environment.

Watch demo: BrowserAct: Give AI Agents a Real Browser →

Start from BrowserAct Skills →

Why BrowserAct

The browser an AI agent needs has to reach places standard tools can't, let a human seamlessly take over when the agent is stuck, keep parallel tasks from cross-contaminating, and be designed for LLM reasoning — not human-written scripts. A browser for agents must get four things right.

1. Break through blocks — three progressive layers

  1. Environment layer — stealth fingerprint spoofing, TLS rotation, proxy switching. The vast majority of blocks never trigger.
  2. Execution layer — solve-captcha auto-solves CAPTCHAs; stealth-extract pulls protected pages in one command.
  3. Human layer — remote-assist generates a live URL; the user takes over from any device, and the agent continues seamlessly when done.

2. Three browser modes — by real-world scenario

Mode Scenario Key trait
chrome Reuse local Chrome login state Profile import or CDP attach
stealth privacy mode Frictionless batch scraping without login Fresh fingerprint per session + proxy rotation, zero residue
stealth fixed identity Logged-in accounts · multi-browser parallel Stable fingerprint + stable IP, stable account identity, not flagged as bots

3. Zero-interference concurrency — every agent in its own lane

4. Designed for agent reasoning — not human scripts

Security: confirmation gating — sensitive operations (browser create / delete, Profile import, proxy changes, security and privacy toggles) require explicit user approval. Prior approvals do not carry over. Enforced at the Skill layer, not a configuration toggle.


And More


Install

Tell your AI agent:

Install browser-act. Skill source: https://github.com/browser-act/skills/tree/main/browser-act . Verify it works after installation.

Installation details →


Quick Start

# Extract protected page content (zero config)
browser-act stealth-extract https://example.com

# Full browser automation
browser-act --session my-task browser open <id> https://example.com
browser-act --session my-task state          # See clickable elements
browser-act --session my-task click 3        # Click by index
browser-act --session my-task input 2 "hi"   # Type into a field

More examples and workflows →

The agent runs get-skills at the start of each session — gets environment state, browser list, and commands in one call:

browser-act get-skills core --skill-version 2.0.2

How agents discover and use BrowserAct →


Compatibility

OS: Windows, macOS, Linux

Agents: Claude Code · Cursor · VS Code · OpenCode · OpenClaw · Codex · Gemini CLI — works with any agent that can execute shell commands and load Skills.


What's Free

Almost everything is free. Only two features require payment: managed proxies (Dynamic / Static), and stealth browsers beyond the first 5.

Feature Free
(No Signup)
Free
(Login Only)
Paid
Browser automation, Chrome / Chrome-direct ✓ ✓ ✓
Stealth browser (≤ 5), stealth-extract, solve-captcha, remote-assist, privacy mode, Skill Forge — ✓ ✓
Stealth browser (> 5), Dynamic / Static proxy — — ✓

Documentation

Full documentation covers anti-blocking, browser modes, sessions and concurrency, headless and remote handoff, agent design, the Skills system, and the complete command reference.

Read the full documentation →


Also From BrowserAct

Skill Forge — Your Personal Scraping Engineer

Need to extract data from the same website repeatedly at scale? Don't write scrapers by hand. Skill Forge explores a site once, discovers its APIs and data patterns, generates a deploy-ready Skill package, then runs reliably without re-exploration — 500 or 5,000 records through the same stable path.

Any website. Any data. One command to start:

Install browser-act-skill-forge. Skill source: https://github.com/browser-act/skills/tree/main/browser-act-skill-forge . Verify it works after installation.

Then tell your agent what you need:

"Forge a Skill that extracts job listings from LinkedIn — title, company, salary, URL. I'll run 300 keywords later."

Skill Forge documentation →

Solutions Catalog

30+ pre-built Skills already generated by Skill Forge, ready to install and run. Covers Amazon, Google Maps, YouTube, Reddit, WeChat, Zhihu, and more.

Browse the full Solutions Catalog →

Build Your Own

Can't find what you need above? Generate a custom Skill for any website in minutes — no coding required. Just describe what data you want or what action to perform, and Skill Forge handles the rest.


💖 Support the Project

BrowserAct Skills is free and open source. If it saves you time, please give us a ⭐ Star — it keeps the project alive and helps us ship more skills.

GitHub Stars

🎁 Bonus: Once you star the repository, you can join our Discord and post in the #claim-500-credits channel to receive 500 free credits!

🤝 Community & Support

Built with ❤️ by the BrowserAct Team

skills (browser-act/skills)

Searching Database…

6.2K ·GitHub
这是什么?BrowserAct Skills 是一套浏览器自动化命令行工具和技能集,可让 AI 智能体控制真实浏览器、突破反机器人防护、在遇到卡点时交由人工接手,并运行并行、相互隔离的多账号会话。
这是云服务,还是需要在本地运行的东西?两种方式都有。BrowserAct 提供完全由云端托管的模式,你只需描述抓取任务,它便会在 BrowserAct 云端运行;也提供本地 Skill 包,Claude Code、Codex 等智能体可以加载它,驱动你自己电脑上的浏览器自动化。
它能配合哪些 AI 智能体或编程工具使用?它支持 Claude Code、Cursor、VS Code、OpenCode、OpenClaw、Codex 和 Gemini CLI,基本上只要能执行 shell 命令并加载 Skill 的智能体都可以使用。
这里到底哪些地方要花钱?几乎全部功能都免费,包括基础浏览器自动化以及最多 5 个隐身浏览器;只有在使用托管的动态/静态代理,以及超过前 5 个的隐身浏览器时才需要付费。
支持哪些操作系统?它兼容 Windows、macOS 和 Linux。
它怎么绕过反爬虫防护?它分三层逐步推进:先用隐身指纹伪装、TLS 轮换和代理切换,避开大多数拦截;对于能通过的请求,自动识别验证码并提取受保护页面的内容;如果智能体仍被卡住,还可以通过远程协助功能,把控制权交给任意设备上的人工操作。
Skill Forge 是什么?Skill Forge 是 BrowserAct 的配套工具。它只需探索一次目标网站,就能发现其 API 和数据模式,并生成可复用、可直接部署的抓取 Skill,省去你为重复的大规模数据提取手写爬虫的麻烦。
多个智能体能同时运行任务而互不干扰吗?可以。跨浏览器并行会话各自拥有独立的 Cookie、指纹和代理,网站无法将它们关联起来;同一浏览器的多会话模式则共享登录状态,但每个任务的执行互不影响。
为什么浏览器返回的不是原始 HTML 或 JSON?BrowserAct 返回的是紧凑的带编号文本格式(例如 'click 3 / input 2'),而不是 DOM 或 HTML。这种格式对大模型推理来说 token 效率高出数倍,也省去了手动解析 DOM 的麻烦。
Size
2.3 MB
Stars
6.2K
Updated
CommitAug 24
Age
8mo
Commits · 90 Days