Browser Agent logo

Browser Agent

Organization
OyadotAI
browser-agent

Control a real browser via Oya Browser MCP tools. Use this skill when the user asks you to browse the web, interact with websites, fill forms, scrape data, or automate browser tasks. Provides the mental model and strategies for effective browser automation through structured markdown and numbered element IDs.

Overview

PublisherOyadotAI
Repositoryoya-browser
Skill namebrowser-agent
Stars
351
Forks
281
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by OyadotAI on GitHub. Read the source before you install it.

Installation

Install the Browser Agent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OyadotAI/oya-browser/tree/main/.agents/skills/browser-agent
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/OyadotAI/oya-browser.git /tmp/oya-browser
mkdir -p .claude/skills
cp -r /tmp/oya-browser/.agents/skills/browser-agent .claude/skills/browser-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Browser Agent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Browser Agent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Browser Agent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

You have access to a real Chrome browser through Oya Browser MCP tools. The browser has real cookies, logins, extensions, sites see a real user, not a bot. You control it through structured commands, not raw HTML or CSS selectors.

Core Mental Model

The browser gives you pages as structured markdown with numbered interactive elements. You act by referencing element numbers:

[#9 input:text placeholder="Search"]   →   type(9, "query")
[#13 button "Google Search"]           →   click(13)
[#4 link "Images" → /images]          →   click(4)

You never write CSS selectors, XPath, or pixel coordinates (unless using coordinate tools for precise clicks). You analyze the page, read the markdown, and act by element ID.

Workflow

Every browser task follows this loop:

  1. Navigate: go to the URL
  2. Analyze: call analyze_page to see the page as markdown with numbered elements
  3. Act: click, type, scroll, press keys using element IDs
  4. Re-analyze: after actions that change the page (clicks, form submissions, scrolls), analyze again to see the new state
  5. Repeat until the task is done

CRITICAL: Always call analyze_page after navigation or significant interactions. Element IDs change between analyses. Never assume an old ID is still valid.

Available Tools

Page Understanding

  • analyze_page(): Returns full page as markdown with [#id type "label"] annotations. Always start here.
  • screenshot(): Capture visible viewport as PNG. Use when you need to verify visual state or when markdown isn't enough.
  • read_elements(selector?, limit?): Lighter than analyze_page, returns element metadata without full markdown.

Navigation

  • navigate(url): Go to a URL. Wait for page load automatically.
  • scroll(direction, amount?): Scroll "up" or "down" by N pixels (default 500). Returns updated page analysis.
  • wait(selector, timeout?): Wait for a CSS selector to appear (max 10s default).

Element Interaction

  • click(element_id): Click an element by its ID from analyze_page. Scrolls element into view automatically.
  • type(element_id, text): Clear field and type text into an input/textarea/contenteditable.
  • press_key(key): Press Enter, Escape, Tab, ArrowDown, ArrowUp, Backspace, or any key.

Mouse & Keyboard (Low-Level)

  • click_coordinates(x, y): Click at exact pixel position. Use with screenshot when element IDs don't work.
  • mouse_move(x, y): Hover without clicking. Triggers tooltips, dropdown menus, hover states.
  • double_click(element_id?, x?, y?): Double-click by element ID or coordinates. For text selection, file opening.
  • keyboard_type(text): Type into whatever is currently focused. No element targeting.
  • drag(from_x, from_y, to_x, to_y): Drag between two points. For sliders, drag-and-drop, range selection.

Tab Management

  • list_tabs(): Show all open tabs with IDs.
  • open_tab(url?): Open new tab, optionally navigating to URL.
  • switch_tab(tab_id): Switch to a tab by ID.
  • close_tab(tab_id?): Close a tab (default: active tab).

Pool (Multi-Browser)

  • pool_status(): Show connected browsers in the pool.

Strategy Guide

Reading analyze_page Output

The output has two parts:

1. Header: metadata about the page:

---
url: https://example.com
title: Example
viewport: 1280x720
scroll: 0% (0px / 3200px)
elements: 47 total, 23 visible
---

2. Body: full page as markdown with inline element annotations:

# Welcome to Example

[#1 link "Home" → /] [#2 link "About" → /about] [#3 link "Login" → /login]

## Search
[#9 input:text placeholder="Search..."]
[#10 button "Search"]

## Results
- [#11 link "First result" → /result/1]
- [#12 link "Second result" → /result/2]

3. Element Index: grouped by visibility:

### Visible
  [#9] input: Search...
  [#10] button: Search
### Off-screen (scroll to reveal)
  [#35] link: Footer link

Handling Common Patterns

Forms: Find the input elements, type into each, then click submit:

analyze_page → find [#5 input:email], [#6 input:password], [#7 button "Sign in"]
type(5, "user@example.com")
type(6, "password123")
click(7)

Dropdowns/Selects: Click to open, then click the option:

click(dropdown_id)
analyze_page → find the option elements that appeared
click(option_id)

Infinite scroll: Scroll down, re-analyze to see new content:

scroll("down", 800)
→ returns updated analysis with new elements

Modals/Dialogs: When a modal is open, analyze_page automatically scopes to the modal content. The header will say modal: "dialog name".

Pagination: Look for "Next", "More", or page number links in the element index.

Site-Specific Tips

LinkedIn:

  • Feed posts use data-urn attributes; the analyzer detects these
  • Messaging opens with aria-hidden on main content; the analyzer handles this
  • Use the search bar input, type query, press Enter
  • Connection buttons: look for "Connect" or "Follow" button elements

X (Twitter):

  • Tweet compose: click the "Post" or compose area, then type
  • Interactions: like/retweet/reply buttons detected via data-testid
  • Thread navigation: click "Show replies" or individual tweets

Reddit:

  • Uses web components (<shreddit-post>); the analyzer traverses shadow DOM
  • Vote buttons and comment links are properly detected
  • Subreddit navigation: use the search or navigate directly

HackerNews:

  • Layout tables are handled as containers (not data tables)
  • Vote arrows show as [#N button "upvote"]
  • Comment reply links show as [#N link "reply to username"]
  • Comment links show context: [#N link "189 comments" on "Post Title"]

Amazon:

  • Product cards detected via data-asin and data-cel-widget
  • Search: type in the search box, press Enter
  • Add to cart: find the "Add to Cart" button element

When Element IDs Don't Work

Sometimes elements aren't detected or clickable by ID. Fallback strategy:

  1. Take a screenshot → visually identify the target
  2. Use click_coordinates(x, y) → click at the pixel position you see in the screenshot
  3. Use mouse_move(x, y) → hover first to reveal hidden elements (dropdowns, tooltips)
  4. Use keyboard_type(text) → type into whatever is focused without targeting

Error Recovery

  • "Element not found" → IDs are stale. Call analyze_page again.
  • Click didn't work → The element may need scrolling first, or try click_coordinates with screenshot.
  • Page didn't load → Check URL, try navigate again, or wait for a specific selector.
  • Modal blocking → analyze_page will scope to the modal. Dismiss it with Escape or clicking X.
  • Content truncated → Very long page. Scroll down and re-analyze to see more content.

Important Rules

  1. Always analyze before acting. Never guess element IDs.
  2. Re-analyze after major actions. Element IDs change after page changes.
  3. Scroll to find elements. If an element is in the "Off-screen" index, scroll first.
  4. Read the element index. It tells you exactly what's visible and what's not.
  5. Use screenshot as backup. When markdown isn't enough, see the page visually.
  6. Don't over-analyze. If you already see the element you need, act immediately.
  7. Be efficient. Navigate directly to URLs when possible instead of clicking through menus.

Frequently asked questions

What does the Browser Agent AI skill do?

Control a real browser via Oya Browser MCP tools. Use this skill when the user asks you to browse the web, interact with websites, fill forms, scrape data, or automate browser tasks. Provides the mental model and strategies for effective browser automation through structured markdown and numbered element IDs.

Why use Browser Agent on TypingMind?

Because you install it once and use it with any model. Browser Agent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Browser Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OyadotAI/oya-browser/tree/main/.agents/skills/browser-agent. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Browser Agent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Browser Agent?

As many as you like. As long as a model supports skills, you can use Browser Agent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Browser Agent AI skill free?

It is published on GitHub by OyadotAI. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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