agent-browser

Automate browser tasks with snapshots, refs, and session management.

2|Updated Dec 24, 2025
One-click install
npx skills add https://github.com/hotriluan/alkana-dashboard --skill agent-browser-hotriluan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/hotriluan/alkana-dashboard/tree/main/.opencode/skills/agent-browser
Command: npx skills add https://github.com/hotriluan/alkana-dashboard --skill agent-browser-hotriluan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automated browser tasks for AI agents require reliable, low-friction tooling that can manage long-running sessions, maintain context, and provide verifiable traces. The agent-browser skill offers a compact CLI that uses a "snapshot + refs" paradigm to orchestrate navigation and interactions with minimal context switching, while enabling video recording and cloud testing through Browserbase.

Core Features & Use Cases

  • Context-efficient snapshot and refs-based interactions for long autonomous sessions.
  • Built-in video recording, cloud testing support (Browserbase), and robust session management.
  • Use case: orchestrate end-to-end web tasks, verify steps, and preserve execution history for debugging and audits.

Quick Start

Install the tool globally and start a session by opening a URL, taking a snapshot, and performing interactions.

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 tasks for long autonomous AI sessions?▼

Automate browser tasks for long autonomous sessions by using a snapshot and refs interaction model that minimizes context switching. This approach opens a URL, takes a snapshot, interacts via refs, and re-snapshots to maintain reliable context throughout extended workflows.

What is the snapshot and refs paradigm for AI browser automation?▼

The snapshot and refs paradigm is a context-efficient method for AI browser automation that captures a compact page state, then uses references to interact with elements. This minimizes token usage and enables self-verifying workflows during long autonomous sessions.

How do I record video of automated browser sessions for debugging?▼

Record video of automated browser sessions using built-in video recording capabilities. This preserves execution history for debugging and audits, allowing you to review and verify the exact steps taken during long autonomous cloud-browser testing workflows.

Can I use cloud testing for AI-assisted browser automation workflows?▼

Yes, you can use cloud testing for AI-assisted browser automation through optional Browserbase integration. This enables robust session management and verifiable traces in a cloud environment, supporting long-running autonomous web tasks without local browser constraints.

What is the best way to manage context switching during end-to-end web automation?▼

The best way to manage context switching during end-to-end web automation is using a compact CLI with context-efficient snapshots. By interacting via element refs instead of raw HTML, it sustains long autonomous sessions while enabling self-verifying workflow steps.

Why does my AI agent lose context during extended browser automation sessions?▼

AI agents lose context during extended browser automation sessions when tooling requires full page reloads. Using a compact CLI with context-efficient snapshots and refs prevents this, maintaining reliable state and enabling self-verifying workflows throughout long autonomous tasks.