browser
Web browser automation with AI-optimized snapshots for claude-flow agents
pinned to #c87541cupdated 2 weeks ago
Ask your AI client: “install skills/browser”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install skills/browsermetahub onboarded this repo on the author's behalf.
If you own github.com/ruvnet/RuVector on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.
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- #ai
- #ai-ocr
- #attention-mechanism
- #gnn
- #gnn-model
- #gnns
- #graph
- #graph-neural-networks
- #llm-inference
- #low-latency
- #mincut
- #neo4j
- #ocr
- #onnx
- #rust
- #vector
- #wasm
About this skill
Pulled from SKILL.md at publish time.
Web browser automation using agent-browser with AI-optimized snapshots. Reduces context by 93% using element refs (@e1, @e2) instead of full DOM.
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.c87541c· 2 weeks ago
Documentation
41Description qualitywarn
9 words · 73 chars — skills use the description as their trigger; aim higher
Aim for 15+ words and include trigger phrases like “use this skill when …”.
README is present and substantial
271,673 chars · 21 sections · 157 code blocks
Tags / topics declared
17 total — ai, ai-ocr, attention-mechanism, gnn, gnn-model, gnns (+11)
README has usage / example sections
found: Quick Start · Installation · Quick Start (+20)
Homepage / docs URL declared
https://Cognitum.One/RuVector
Release history
1- releasecurrentc87541cwarn2 weeks ago
Contents
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" "[email protected]"
Semantic Locators
agent-browser find role button click --name "Submit"
agent-browser find label "Email" fill "[email protected]"
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 "[email protected]"
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 "[email protected]"
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
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Writing Plans
Turn specs into phased implementation plans
mh install skills/browser