Operate web page DOM elements via natural-language instructions.
npx skills add https://github.com/MarbleSodas/Mavis --skill page-agent-marblesodas
Please help me install this Agent Skill. Skill: page-agent Source: https://github.com/MarbleSodas/Mavis/tree/main/optional-skills/web-development/page-agent Command: npx skills add https://github.com/MarbleSodas/Mavis --skill page-agent-marblesodas
page-agent eliminates the friction of manually clicking through complex web UIs by letting users control existing pages using natural language, grounded in the live DOM rather than screenshots.
Use Case: Your B2B SaaS admin panel has repetitive navigation for onboarding and record updates; deploy page-agent so users can type “click login, fill username as John, then go to billing and create an invoice for Acme Corp”.
Load the demo script in your HTML page, open the panel in the browser, and instruct it with “click the login button, then fill username as John”.
High-intent search queries and answers about installing and using this skill.
To add a natural language copilot for DOM automation, embed a single client-side JavaScript bundle into your web app. The in-page agent reads the live DOM as text and executes user instructions like clicking buttons and filling fields without requiring a headless browser.
Yes, you can use an in-page GUI agent to automate SaaS admin panel workflows. By embedding a DOM-driven copilot, end-users can complete repetitive multi-step tasks such as creating invoices or submitting expense reports using natural language instructions.
DOM-driven UI navigation works by reading the page DOM as text and mapping natural language instructions to actionable operations like clicking and typing. It bypasses screenshot-based multimodal grounding, relying entirely on pure client-side DOM and text interaction.
You need an OpenAI-compatible LLM API endpoint with a `/v1/chat/completions` baseURL and an API key, preferably proxied. This setup allows the in-page agent to process natural language instructions and execute corresponding actions on the web page DOM.
The best way to modernize legacy UIs without a full rewrite is deploying a DOM-driven AI copilot. By embedding a single script, users can interact with existing interfaces through natural language, bypassing complex navigation and automating workflows directly.
A limitation of using a DOM-to-action agent is its reliance on pure client-side DOM and text interaction, meaning it does not support screenshot-based multimodal grounding. It requires a pure client-side embed and an OpenAI-compatible API endpoint to function properly.
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