
Browser Automation
FreeAutomate web browsing with AI-optimized snapshots.
Free · Opens the source repo
What Browser Automation does
The Browser Automation skill provides a streamlined way to automate web interactions using agent-browser with AI-optimized snapshots. This skill significantly reduces the context required for interactions, using element references instead of the full Document Object Model (DOM). By leveraging these optimized snapshots, users can automate tasks such as form submissions, data extraction, and navigation with greater efficiency and reliability.
The core workflow is simple yet powerful: it allows users to navigate to a webpage, take a snapshot of interactive elements, and then interact with those elements using concise commands. This process minimizes the amount of data processed, leading to faster execution times and reduced overhead. The skill supports various commands for navigation, interaction, and information retrieval, making it versatile for a range of web automation tasks.
This skill is ideal for developers and designers who require efficient web automation for testing, scraping, or repetitive tasks. Its ability to handle multiple sessions simultaneously allows for complex workflows, such as logging in and scraping data from the same site without interference. The integration with Claude Flow enhances its capabilities, enabling memory storage of successful patterns and hooks for pre- and post-browse actions, which can further streamline automation processes.
Overall, the Browser Automation skill is a robust tool for anyone looking to automate web interactions efficiently. Its focus on AI-optimized snapshots and element references makes it a reliable choice for developers aiming to enhance their web automation workflows.
When to use it
Use this skill when you need to automate web tasks such as form submissions, data extraction, or navigation with minimal overhead.
When not to use it
This skill may not be suitable for complex web applications that require extensive DOM manipulation or for scenarios where full DOM access is necessary.
What you can build with it
Automated Login Flow
Automate the login process on a website by opening the login page, filling in credentials, and waiting for the dashboard to load.
Form Submission Automation
Streamline the submission of contact forms by filling in user details and confirming the submission with a success message.
Data Extraction from Product Listings
Extract product names, prices, and links from an e-commerce site by navigating to the product page and retrieving information using element references.
How to install Browser Automation
View source1. Install with the skills CLI
npx skills add ruvnet/ruflo/browser --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by ruvnetBrowser 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
# 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)
# Get refs from snapshot
agent-browser snapshot -i
# Output: button "Submit" [ref=e2]
# Use ref to interact
agent-browser click @e2
CSS Selectors
agent-browser click "#submit"
agent-browser fill ".email-input" "test@test.com"
Semantic Locators
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
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
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
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)
# 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/openbrowser/snapshotbrowser/clickbrowser/fillbrowser/screenshot- etc.
Memory Integration
# 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
# 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
-iflag - 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 about Browser Automation
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