page-agent

Embeds a client-side AI copilot with a UI panel into web applications.

2|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/AlexiosBluffMara/mercury --skill page-agent-alexiosbluffmara
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: page-agent
Source: https://github.com/AlexiosBluffMara/mercury/tree/main/optional-skills/web-development/page-agent
Command: npx skills add https://github.com/AlexiosBluffMara/mercury --skill page-agent-alexiosbluffmara

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Embed a pure-JS in-page AI copilot that lets web developers add an AI-driven UI panel to their apps without Python, headless browsers, or server-side automation.

Core Features & Use Cases

  • In-page GUI agent that runs as a single <script> tag or npm package
  • Drives UI with natural language commands like "click login" or "fill username as John"
  • Suitable for SaaS/admin panels, legacy web apps, or evaluating LLM endpoints locally

Quick Start

Show the PageAgent panel on this page and issue a simple command such as 'Click login' to begin.

Frequently Asked Questions about page-agent

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

FAQPage Schema
How do I add an in-page AI copilot to a web application?

An in-page AI copilot is embedded by wiring PageAgent into the host page and exposing a UI panel. It runs as a single script tag or npm package, allowing natural language control over on-page interactions without server-side automation.

What is a pure-JS AI copilot and how does it work inside a browser?

A pure-JS AI copilot operates entirely client-side inside the browser, driving UI interactions through natural language commands. It requires a compatible LLM endpoint and a minimal client integration, packaging a self-contained UI panel with optional assets and scripts.

Can I use a natural language interface for SaaS or admin dashboards without Python?

Yes, you can use a pure-JS in-page AI copilot for SaaS or admin dashboards without Python. It drives UI elements with commands like 'click login' or 'fill username as John' directly in the browser, avoiding headless browsers or server-side automation.

What is the best way to drive on-page web interactions with an LLM endpoint locally?

The best way to drive on-page web interactions locally is embedding a client-side AI copilot. By wiring a compatible LLM endpoint into a self-contained UI panel, web developers can evaluate endpoints and issue commands for legacy web apps without server-side dependencies.

Do I need server-side automation to run a browser-based GUI agent?

No, you do not need server-side automation to run a browser-based GUI agent. This pure-JS AI copilot operates entirely within the web application on the client side, requiring only a compatible LLM endpoint and minimal integration to function.

Are there limitations to using a client-side in-page AI copilot for legacy web apps?

A client-side in-page AI copilot is limited by its reliance on a compatible LLM endpoint and operates strictly within the browser context. It is designed for natural language control over on-page interactions and does not perform server-side automation tasks.