browser
Web browser automation with AI-optimized snapshots for claude-flow agents
- Installs
- 48
- Last 24h
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/ruvnet/ruview --skill browser- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads browser automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
# 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
FAQ
What does the browser skill do?
Web browser automation with AI-optimized snapshots for claude-flow agents
How do I install browser?
Run npx skills add https://github.com/ruvnet/ruview --skill browser in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/browser/ (personal) or .claude/skills/browser/ (project).
Which AI agents can use browser?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is browser safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains browser?
It is published by ruvnet in ruvnet/ruview. It has 48 recorded installs.
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