core

Automate browser tasks using snapshot and element ref workflows.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI agents often struggle with controlling browsers and interpreting web pages. This skill provides a compact, ref-based workflow that lets agents drive a browser using lightweight snapshots and element refs, reducing the complexity of traditional DOM querying.

Core Features & Use Cases

  • Snapshot-based interactions with @eN refs for fast, human-like automation of navigation, form filling, clicking, and data extraction.
  • Multi-tab and session support that keeps tasks isolated and resumable across runs.
  • Built-in guidance for common workflows (login, screenshots, authentication, and error handling) to reduce setup time.

Quick Start

Launch kachilu-browser, snapshot a page, interact with elements via refs, and verify outcomes in a single streamlined flow.

Frequently Asked Questions about core

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

FAQPage Schema
How do I automate browser tasks for AI agents without complex DOM querying?

Automating browser tasks for AI agents uses a snapshot and ref-based workflow. This approach lets agents interact with web pages through lightweight snapshots and element refs, avoiding the complexity of traditional DOM querying for navigation and form filling.

What is the best way to handle multi-tab web automation sessions across different websites?

Handling multi-tab web automation sessions is best done using a snapshot-based workflow with built-in session support. This keeps tasks isolated and resumable across runs, ensuring isolated data extraction and authentication across different websites.

How does snapshot-based web automation work for filling out forms and extracting data?

Snapshot-based web automation works by capturing a page state and assigning element refs to interactive components. AI agents use these refs to click, fill forms, and extract data quickly, verifying outcomes in a single streamlined flow.

Can I use this approach for login authentication and screenshot capture in web automation?

Yes, you can use this approach for login authentication and screenshot capture. The workflow includes built-in guidance for common tasks like authentication, error handling, and taking screenshots to reduce setup time.

Do I need to install specific dependencies to run snapshot-based browser automation?

No specific external dependencies are required to run snapshot-based browser automation. The workflow operates independently, requiring only a compatible browser environment to launch, snapshot pages, and interact via element refs.