vc:agent-browser

Automate long-running browser tasks via CLI with context-efficient snapshots and refs.

Updated May 10, 2026
One-click install
npx skills add https://github.com/cryborg1211/quant_trading_telegram_bot --skill vc-agent-browser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vc:agent-browser
Source: https://github.com/cryborg1211/quant_trading_telegram_bot/tree/main/.agents/skills/vc-agent-browser
Command: npx skills add https://github.com/cryborg1211/quant_trading_telegram_bot --skill vc-agent-browser

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The vc:agent-browser skill enables AI agents to automate browser tasks with context-efficient snapshots and a reference-based element model, reducing context switching and enabling long-running autonomous sessions.

Core Features & Use Cases

  • AI-driven CLI browser automation that maintains session context with snapshot and refs.
  • Self-verifying workflows, multi-step interactions, and cloud-browser testing (Browserbase) for scalable experiments.
  • Real-world use: manage trading dashboards, gather data, and perform automated checks across web apps in CI/CD.

Quick Start

Open a long-running browser session with agent-browser and begin using context-efficient snapshots.

Frequently Asked Questions about vc:agent-browser

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

FAQPage Schema
How do I automate long-running browser sessions for AI agents without losing context?

Browser automation for AI agents uses context-efficient snapshots and a reference-based element model to reduce context switching during long-running sessions. This enables autonomous workflows to maintain state without exceeding token limits.

Can I run self-verifying browser automation workflows in a CI/CD pipeline?

Yes, self-verifying browser automation workflows can run in CI/CD pipelines. The tool supports multi-step interactions and automated checks across web apps to ensure reproducible testing outcomes.

Does Browserbase support scalable cloud-browser testing for automated agents?

Browserbase supports scalable cloud-browser testing for automated agents. It enables reproducible sessions and experiments without local browser overhead, making it suitable for large-scale automated checks.

What is the best way to maintain session context during multi-step browser interactions?

The best way to maintain session context is using context-efficient snapshots and refs. This reference-based element model prevents context loss during multi-step browser interactions.

Do I need a specific metadata format to structure browser automation scripts?

Yes, you need a SKILL.md frontmatter with a name and description to provide structured, discoverable metadata. It optionally includes references, scripts, and assets for the automation setup.

Why do standard browser automation tools fail during long autonomous AI sessions?

Standard tools fail during long autonomous AI sessions due to context switching and token limit exhaustion. Context-efficient snapshots and refs solve this by minimizing the context required per interaction.