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dxkjuanjuan

browser

Web browser automation with AI-optimized snapshots for claude-flow agents

Overview

Publisher	dxkjuanjuan
Repository	`ui-forge`
Skill name	`browser`
Stars	3
Forks	0
Bundled files	Instructions only
Links	Skill source Repository Homepage

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 dxkjuanjuan on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/dxkjuanjuan/ui-forge/tree/main/skills/browser
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.

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/dxkjuanjuan/ui-forge.git /tmp/ui-forge
mkdir -p .claude/skills
cp -r /tmp/ui-forge/skills/browser .claude/skills/browser

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Browser 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 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 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.

Browser Automation Skill

Web browser automation using agent-browser with AI-optimized snapshots. Reduces context by 93% using element refs (@e1, @e2) instead of full DOM.

Core Workflow

bash
# 1. Navigate to page
agent-browser open <url>

# 2. Get accessibility tree with element refs
agent-browser snapshot -i    # -i = interactive elements only

# 3. Interact using refs from snapshot
agent-browser click @e2
agent-browser fill @e3 "text"

# 4. Re-snapshot after page changes
agent-browser snapshot -i

Quick Reference

Navigation

Command	Description
`open <url>`	Navigate to URL
`back`	Go back
`forward`	Go forward
`reload`	Reload page
`close`	Close browser

Snapshots (AI-Optimized)

Command	Description
`snapshot`	Full accessibility tree
`snapshot -i`	Interactive elements only (buttons, links, inputs)
`snapshot -c`	Compact (remove empty elements)
`snapshot -d 3`	Limit depth to 3 levels
`screenshot [path]`	Capture screenshot (base64 if no path)

Interaction

Command	Description
`click <sel>`	Click element
`fill <sel> <text>`	Clear and fill input
`type <sel> <text>`	Type with key events
`press <key>`	Press key (Enter, Tab, etc.)
`hover <sel>`	Hover element
`select <sel> <val>`	Select dropdown option
`check/uncheck <sel>`	Toggle checkbox
`scroll <dir> [px]`	Scroll page

Get Info

Command	Description
`get text <sel>`	Get text content
`get html <sel>`	Get innerHTML
`get value <sel>`	Get input value
`get attr <sel> <attr>`	Get attribute
`get title`	Get page title
`get url`	Get current URL

Wait

Command	Description
`wait <selector>`	Wait for element
`wait <ms>`	Wait milliseconds
`wait --text "text"`	Wait for text
`wait --url "pattern"`	Wait for URL
`wait --load networkidle`	Wait for load state

Sessions

Command	Description
`--session <name>`	Use isolated session
`session list`	List active sessions

Selectors

Element Refs (Recommended)

bash
# Get refs from snapshot
agent-browser snapshot -i
# Output: button "Submit" [ref=e2]

# Use ref to interact
agent-browser click @e2

CSS Selectors

bash
agent-browser click "#submit"
agent-browser fill ".email-input" "test@test.com"

Semantic Locators

bash
agent-browser find role button click --name "Submit"
agent-browser find label "Email" fill "test@test.com"
agent-browser find testid "login-btn" click

Examples

Login Flow

bash
agent-browser open https://example.com/login
agent-browser snapshot -i
agent-browser fill @e2 "user@example.com"
agent-browser fill @e3 "password123"
agent-browser click @e4
agent-browser wait --url "**/dashboard"

Form Submission

bash
agent-browser open https://example.com/contact
agent-browser snapshot -i
agent-browser fill @e1 "John Doe"
agent-browser fill @e2 "john@example.com"
agent-browser fill @e3 "Hello, this is my message"
agent-browser click @e4
agent-browser wait --text "Thank you"

Data Extraction

bash
agent-browser open https://example.com/products
agent-browser snapshot -i
# Iterate through product refs
agent-browser get text @e1  # Product name
agent-browser get text @e2  # Price
agent-browser get attr @e3 href  # Link

Multi-Session (Swarm)

bash
# Session 1: Navigator
agent-browser --session nav open https://example.com
agent-browser --session nav state save auth.json

# Session 2: Scraper (uses same auth)
agent-browser --session scrape state load auth.json
agent-browser --session scrape open https://example.com/data
agent-browser --session scrape snapshot -i

Integration with Claude Flow

MCP Tools

All browser operations are available as MCP tools with browser/ prefix:

browser/open
browser/snapshot
browser/click
browser/fill
browser/screenshot
etc.

Memory Integration

bash
# Store successful patterns
npx @claude-flow/cli memory store --namespace browser-patterns --key "login-flow" --value "snapshot->fill->click->wait"

# Retrieve before similar task
npx @claude-flow/cli memory search --query "login automation"

Hooks

bash
# Pre-browse hook (get context)
npx @claude-flow/cli hooks pre-edit --file "browser-task.ts"

# Post-browse hook (record success)
npx @claude-flow/cli hooks post-task --task-id "browse-1" --success true

Tips

Always use snapshots - They're optimized for AI with refs
Prefer -i flag - Gets only interactive elements, smaller output
Use refs, not selectors - More reliable, deterministic
Re-snapshot after navigation - Page state changes
Use sessions for parallel work - Each session is isolated

Frequently asked questions

What does the Browser AI skill do?

Web browser automation with AI-optimized snapshots for claude-flow agents

Why use Browser on TypingMind?

Because you install it once and use it with any model. Browser 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 in TypingMind?

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

Which AI models can use Browser?

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?

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

Is the Browser AI skill free?

It is published on GitHub by dxkjuanjuan. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Browser Automation Skill

Core Workflow

Quick Reference

Navigation

Snapshots (AI-Optimized)

Interaction

Get Info

Wait

Sessions

Selectors

Element Refs (Recommended)

CSS Selectors

Semantic Locators

Examples

Login Flow

Form Submission

Data Extraction

Multi-Session (Swarm)

Integration with Claude Flow

MCP Tools

Memory Integration

Hooks

Tips

Frequently asked questions

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