skills README

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

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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)

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6.2K ·GitHub
Skills
What is this?BrowserAct Skills is a browser automation CLI/skill set that lets AI agents control a real browser, break through anti-bot protections, hand off to a human when stuck, and run parallel, isolated multi-account sessions.
Is this a cloud service or something I run locally?Both — BrowserAct offers a fully cloud-managed mode where you describe a scraping task and it runs in BrowserAct's cloud, or a local Skill package that agents like Claude Code or Codex load to drive your own local browser automation.
Which AI agents or coding tools does it work with?It works with Claude Code, Cursor, VS Code, OpenCode, OpenClaw, Codex, and Gemini CLI — basically any agent that can execute shell commands and load Skills.
What actually costs money here?Almost everything is free, including basic browser automation and up to 5 stealth browsers; you only pay for managed Dynamic/Static proxies and for stealth browsers beyond the first 5.
Which operating systems does it support?It's compatible with Windows, macOS, and Linux.
How does it get past anti-bot walls?It uses three progressive layers: stealth fingerprint spoofing, TLS rotation and proxy switching to avoid most blocks, auto CAPTCHA solving and protected-page extraction for what gets through, and a remote-assist feature that hands control to a human on any device when the agent is still stuck.
What is Skill Forge?Skill Forge is BrowserAct's companion tool that explores a target website once, discovers its APIs and data patterns, and generates a reusable, deploy-ready scraping Skill so you don't have to hand-write scrapers for repeated large-scale extraction.
Can multiple agents run tasks at the same time without interfering?Yes — cross-browser parallel sessions get independent cookies, fingerprints and proxies so sites can't correlate them, while same-browser multi-session mode shares login state but keeps each task's execution independent.
Why isn't the browser output just raw HTML or JSON?BrowserAct returns a compact, indexed text format (e.g. 'click 3 / input 2') instead of DOM/HTML, which is several times more token-efficient for LLM reasoning and avoids manual DOM parsing.
What are similar projects?Agent-Reach, claude-skills, oc, open-steps, qwen21-nsfw-pose-skill, pstack-claude, auto-commenter, skills
Which topics is it in?agent-infrastructure, openclaw-skill, captcha-solving, automation-tools, openclaw-skills, web-scraper, claude-code-skills, data-extraction, codex-cli, no-code, codex-skill, openclaw
Creator
browser-act
Size
2.3 MB
Stars
6.2K
Updated
CommitAug 24
Age
8mo
Commits · 90 Days