c-browser
About
c-browser enables headless browser automation for navigating pages, interacting with elements, and extracting content through two CLI tools. It provides capabilities like clicking, form filling, screenshot capture, and web scraping using either agent-browser for structured snapshots or playwright-cli for token-efficient operations. Use this skill when you need to automate web interactions or collect data from websites within your development workflow.
Quick Install
Claude Code
Recommendednpx skills add daxaur/openpaw -a claude-code/plugin add https://github.com/daxaur/openpawgit clone https://github.com/daxaur/openpaw.git ~/.claude/skills/c-browserCopy and paste this command in Claude Code to install this skill
Documentation
Browser Automation
agent-browser (Vercel)
Navigate and interact with web pages using structured snapshots:
# Open a URL
agent-browser open "https://example.com"
# Get interactive element snapshot (shows clickable refs)
agent-browser snapshot -i
# Click an element by ref
agent-browser click @e2
# Fill a form field
agent-browser fill @e5 "search query"
# Take annotated screenshot
agent-browser screenshot --annotate
# Type text
agent-browser type "hello world"
# Press keys
agent-browser press Enter
playwright-cli (Microsoft)
Token-efficient browser automation designed for AI agents:
# Install browser (first time)
playwright-cli install-browser
# Navigate to URL
playwright-cli navigate "https://example.com"
# Get page snapshot
playwright-cli snapshot
# Click element
playwright-cli click "Submit button"
# Fill input
playwright-cli fill "Search" "query text"
# Screenshot
playwright-cli screenshot
Guidelines
- Use agent-browser for AI-driven web interaction (snapshot-ref pattern)
- Use playwright-cli for structured automation and testing flows
- Always check snapshots before clicking — element refs change between pages
- For login flows, navigate step by step and verify each page loads
- Respect robots.txt and rate limits when scraping
GitHub Repository
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