Imported from David-Li0406/meta-skill-evloving (
skill-flow/data/skills-refined-skillclaw-36k/skillsmp/skillclaw-75847c4c4dafe02c-agent-browser/SKILL.md). Install upstream withnpx skills add David-Li0406/meta-skill-evloving --skill skillclaw-75847c4c4dafe02c-agent-browser. Copyright stays with the author.
Skill body
Setup Check
# Check installation
command -v agent-browser >/dev/null 2>&1 && echo "Installed" || echo "NOT INSTALLED - run: npm install -g agent-browser && agent-browser install"
Install if needed
npm install -g agent-browser
agent-browser install # Downloads Chromium
Core Workflow
The snapshot + ref pattern is optimal for LLMs:
- Navigate to URL
- Snapshot to get interactive elements with refs
- Interact using refs (@e1, @e2, etc.)
- Re-snapshot after navigation or DOM changes
# Step 1: Open URL
agent-browser open https://example.com
# Step 2: Get interactive elements with refs
agent-browser snapshot -i --json
# Step 3: Interact using refs
agent-browser click @e1
agent-browser fill @e2 "search query"
# Step 4: Re-snapshot after changes
agent-browser snapshot -i
Key Commands
Navigation
agent-browser open <url> # Navigate to URL
agent-browser back # Go back
agent-browser forward # Go forward
agent-browser reload # Reload page
agent-browser close # Close browser
Snapshots (Essential for AI)
agent-browser snapshot # Full accessibility tree
agent-browser snapshot -i # Interactive elements only (recommended)
agent-browser snapshot -i --json # JSON output for parsing
agent-browser snapshot -c # Compact (remove empty elements)
agent-browser snapshot -d 3 # Limit depth
Interactions
agent-browser click @e1 # Click element
agent-browser dblclick @e1 # Double-click
agent-browser fill @e1 "text" # Clear and fill input
agent-browser type @e1 "text" # Type without clearing
agent-browser press Enter # Press key
agent-browser hover @e1 # Hover element
agent-browser check @e1 # Check checkbox