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agent-browser

Automate Chrome and Chromium browser interactions via the Chrome DevTools Protocol.

4|Updated Jun 12, 2024
Search Tags:#automation#cli#browser#ai-agents#web-automation#chromium
One-click install
npx skills add https://github.com/Nathan3303/nao-todo --skill agent-browser-nathan3303
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/Nathan3303/nao-todo/tree/main/.agents/skills/agent-browser
Command: npx skills add https://github.com/Nathan3303/nao-todo --skill agent-browser-nathan3303

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agents often need to interact with websites and desktop apps to accomplish tasks, but manual browser actions are slow and error-prone. This skill provides deterministic browser automation that lets agents navigate pages, fill forms, click elements, take screenshots, extract data, and run tests without human intervention. It also supports automating Electron apps (VS Code, Slack, Discord, and others) and offers robust session and state management for repeatable workflows.

Core Features & Use Cases

  • Native Rust CLI for fast, Playwright-free browser control via the Chrome DevTools Protocol.
  • Accessible element references and compact selectors for reliable interactions.
  • Sessions, authentication vault, and state persistence to maintain context across tasks and replays.
  • Video recording of sessions for auditing and debugging.
  • Specialized skills for Electron apps, Slack automation, QA/dogfooding, and cloud-provider browsers.
  • Cross-platform support for automation tasks across browser-based and desktop environments.

Quick Start

Install the agent-browser CLI and load the core workflows to begin automating browser tasks for AI agents.

Frequently Asked Questions about agent-browser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate browser interactions for AI agents without using Playwright?▼

Browser automation for AI agents is handled through a native Rust CLI that controls Chrome and Chromium directly via the Chrome DevTools Protocol, eliminating the need for Playwright dependencies. This approach enables fast, deterministic execution of page navigation, form filling, and data scraping.

Can I automate Electron-based desktop apps like VS Code and Slack with browser automation?▼

Yes, browser automation supports controlling Electron-based apps such as VS Code, Slack, and Discord. By leveraging the Chrome DevTools Protocol, the CLI interacts with these desktop environments using accessible element references and specialized skills for reliable automated workflows.

What is the best way to maintain authentication and session state across web automation tasks?▼

Maintaining authentication and session state across web automation tasks is achieved through built-in session management, an authentication vault, and state persistence. This ensures repeatable workflows and allows AI agents to retain context and login credentials across multiple automated interactions.

How do I record a video of an automated browser session for debugging?▼

Video recording of automated browser sessions is supported natively by the CLI for auditing and debugging purposes. You can capture full visual replays of web automation tasks, allowing you to review AI agent interactions, verify form submissions, and diagnose navigation errors.

Does this browser automation tool require any external dependencies or component installations?▼

No external dependencies or component installations are required to use this browser automation CLI. It operates independently through a native Rust implementation, connecting directly to Chromium environments via the Chrome DevTools Protocol without relying on additional software packages.

Why use accessible element references instead of standard CSS selectors for web automation?▼

Accessible element references and compact selectors are used instead of standard CSS selectors to ensure reliable interactions during web automation. This method provides AI agents with stable, deterministic element targeting, reducing errors when clicking elements or filling forms on dynamic web pages.

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