page-agent

Integrate a TypeScript-based GUI agent for natural language DOM interaction.

Updated Jul 13, 2026
One-click install
npx skills add https://github.com/zangjeicy/Hermes --skill page-agent-zangjeicy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: page-agent
Source: https://github.com/zangjeicy/Hermes/tree/main/optional-skills/web-development/page-agent
Command: npx skills add https://github.com/zangjeicy/Hermes --skill page-agent-zangjeicy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the friction of manual UI navigation by allowing end-users to control web applications using natural language, effectively turning any website into an AI-accessible interface without requiring backend changes.

Core Features & Use Cases

  • Natural Language UI Control: Enables users to perform actions like clicking buttons or filling forms via simple text commands.
  • Seamless Integration: Ships as a lightweight script or npm package, making it ideal for SaaS platforms, admin panels, and legacy web apps.
  • Use Case: A B2B SaaS provider can embed this agent to allow their users to perform complex multi-step workflows, such as generating and emailing invoices, simply by typing the request into a chat panel.

Quick Start

Use the page-agent skill to initialize the agent on your current web page by injecting the script and providing your OpenAI-compatible LLM endpoint.

Frequently Asked Questions about page-agent

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

FAQPage Schema
How do I add natural language UI control to a web application?▼

To add natural language UI control to a web application, you integrate a TypeScript-based GUI agent that maps user text instructions to client-side DOM actions. This allows end-users to navigate and execute tasks via simple commands.

Does the GUI agent require backend modifications for SaaS platforms?▼

The GUI agent does not require backend modifications for SaaS platforms. It ships as a lightweight script or npm package, turning any website into an AI-accessible interface directly on the client side.

Can I use this to automate multi-step workflows in admin dashboards?▼

You can use this to automate multi-step workflows in admin dashboards. The agent enables users to perform complex sequences, such as generating and emailing invoices, by typing requests into a chat panel.

Do I need an OpenAI-compatible LLM endpoint for browser task execution?▼

You need an OpenAI-compatible LLM endpoint for browser task execution. The agent requires this endpoint to process user instructions and accurately map them to client-side browser actions.

What is the best way to interact with DOM elements using natural language?▼

The best way to interact with DOM elements using natural language is via an AI-driven agent that translates text commands into automated UI navigation. It directly handles actions like clicking buttons and filling forms.

Are there limitations when embedding an AI-driven agent into legacy web apps?▼

A key limitation when embedding an AI-driven agent into legacy web apps is its reliance on an external OpenAI-compatible LLM endpoint. Task execution accuracy depends entirely on the endpoint's ability to interpret DOM elements.