kachilu-browser

Automate browser navigation, form filling, and data extraction for AI agents.

38|7|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/kachilu-inc/kachilu-browser --skill kachilu-browser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kachilu-browser
Source: https://github.com/kachilu-inc/kachilu-browser/tree/main/skills/kachilu-browser
Command: npx skills add https://github.com/kachilu-inc/kachilu-browser --skill kachilu-browser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Browser automation for AI agents to interact with websites, including navigating pages, filling forms, taking screenshots, extracting data, and testing web apps, enabling human-like web interactions without manual browser control.

Core Features & Use Cases

  • Automates web navigation, form filling, and data extraction within agent workflows.
  • Handles CAPTCHA workflows, session management, and basic testing across web apps.
  • Use Case: automate login flows, data collection from multiple sites, and automated interactions for AI agents in MCP-enabled environments.

Quick Start

Run kachilu-browser skills get core to load the workflow content.

Frequently Asked Questions about kachilu-browser

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

FAQPage Schema
How do I automate web navigation and form filling for AI agents?

You can automate web navigation and form filling for AI agents by running scripted browser interactions that handle page loading, input entry, and data extraction within automated workflows.

Can I manage persistent browser sessions with MCP routing in a CLI workflow?

Yes, you can manage persistent browser sessions using MCP-first routing within a CLI-driven workflow, enabling continuous web interactions across multiple automated agent tasks.

Does browser automation work with WSL2 targeting Windows browsers?

Browser automation supports WSL2 Windows-browser targeting, allowing scripts running in a Linux environment to directly control and interact with web pages on a host Windows browser.

What is the best way to handle CAPTCHA workflows during automated web testing?

Handling CAPTCHA workflows during automated web testing is achieved by integrating scripted browser interactions that manage session states and navigate through verification steps for AI agents.

How do I extract data from websites using an automated browser workflow?

Data extraction from websites is performed by scripting the browser to navigate target pages and capture the required content, enabling automated data gathering without manual interaction.

What are the limitations of automating AI agent web interactions in MCP environments?

Limitations of automating AI agent web interactions include potential challenges with complex dynamic page elements and the need for proper session management to maintain stable MCP routing connections.