create-rule
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project conventions, configure…
Browser automation for AI agents. Two providers — agent-browser (local CLI with Playwright) and agentic-browser (cloud via inference.sh). Both use the same @e ref-based workflow for navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, and
$ npx -y skills add coco-research/coco --skill browser-automation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/browser-automationContext preview
The summary Claude sees to decide when to auto-load this skill.
Browser automation for AI agents. Two providers — agent-browser (local CLI with Playwright) and agentic-browser (cloud via inference.sh). Both use the same @e ref-based workflow for navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, and
name: browser-automation description: Browser automation for AI agents. Two providers — agent-browser (local CLI with Playwright) and agentic-browser (cloud via inference.sh). Both use the same @e ref-based workflow for navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, and automating browser tasks. allowed-tools: Bash(agent-browser:*), Bash(infsh *) domain: engineering
Browser automation for AI agents with two provider options. Both share the same core workflow: navigate, snapshot, interact using `@e` refs, re-snapshot after changes.
| Provider | Runtime | Best For | |----------|---------|----------| | agent-browser | Local (Playwright CLI) | Local testing, iOS Simulator, file:// URLs | | agentic-browser | Cloud (inference.sh) | Video recording, cloud execution, parallel sessions |
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Every browser automation follows this pattern:
1. **Navigate** — Open a URL 2. **Snapshot** — Get `@e` refs for interactive elements 3. **Interact** — Use refs to click, fill, select 4. **Re-snapshot** — After navigation or DOM changes, get fresh refs
**Important: Refs are invalidated after navigation.** Always re-snapshot after clicking links/buttons, form submissions, or dynamic content loading.
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agent-browser open https://example.com/form agent-browser snapshot -i # Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit" agent-browser fill @e1 "user@example.com" agent-browser fill @e2 "password123" agent-browser click @e3 agent-browser wait --load networkidle agent-browser snapshot -i # Check result
# Navigation agent-browser open <url> # Navigate agent-browser close # Close browser # Snapshot agent-browser snapshot -i # Interactive elements with refs agent-browser snapshot -i -C # Include cursor-interactive elements agent-browser snapshot -s "#selector" # Scope to CSS selector # Interaction (use @refs from snapshot) agent-browser click @e1 # Click element agent-browser fill @e2 "text" # Clear and type text agent-browser type @e2 "text" # Type without clearing agent-browser select @e1 "option" # Select dropdown option agent-browser check @e1 # Check checkbox agent-browser press Enter # Press key agent-browser scroll down 500 # Scroll page # Get information agent-browser get text @e1 # Get element text agent-browser get url # Get current URL agent-browser get title # Get page title # Wait agent-browser wait @e1 # Wait for element agent-browser wait --load networkidle # Wait for network idle agent-browser wait --url "**/page" # Wait for URL pattern agent-browser wait 2000 # Wait milliseconds # Capture agent-browser screenshot # Screenshot to temp dir agent-browser screenshot --full # Full page screenshot agent-browser pdf output.pdf # Save as PDF
# Login once and save state agent-browser open https://app.example.com/login agent-browser snapshot -i agent-browser fill @e1 "$USERNAME" agent-browser fill @e2 "$PASSWORD" agent-browser click @e3 agent-browser wait --url "**/dashboard" agent-browser state save auth.json # Reuse in future sessions agent-browser state load auth.json agent-browser open https://app.example.com/dashboard
agent-browser --session site1 open https://site-a.com agent-browser --session site2 open https://site-b.com agent-browser session list
agent-browser --headed open https://example.com agent-browser highlight @e1 agent-browser record start demo.webm
agent-browser --allow-file-access open file:///path/to/document.pdf agent-browser --allow-file-access open file:///path/to/page.html agent-browser screenshot output.png
# List available iOS simulators agent-browser device list # Launch Safari on a specific device agent-browser -p ios --device "iPhone 16 Pro" open https://example.com # Same workflow — snapshot, interact, re-snapshot agent-browser -p ios snapshot -i agent-browser -p ios tap @e1 agent-browser -p ios fill @e2 "text" agent-browser -p ios swipe up agent-browser -p ios screenshot mobile.png agent-browser -p ios close
**Requirements:** macOS with Xcode, Appium (`npm install -g appium && appium driver install xcuitest`)
agent-browser find text "Sign In" click agent-browser find label "Email" fill "user@test.com" agent-browser find role button click --name "Submit" agent-browser find placeholder "Search" type "query" agent-browser find testid "submit-btn" click
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# Install CLI
curl -fsSL https://cli.inference.sh | sh && infsh login
# Open a page
infsh app run agentic-browser --function open --input '{"url": "https://example.com"}' --session new| Function | Description | |----------|-------------| | `open` | Navigate to URL, configure browser (viewport, proxy, video) | | `snapshot` | Re-fetch page state with `@e` refs after DOM changes | | `interact` | Perform actions using `@e` refs | | `screenshot` | Take page screenshot (viewport or full page) | | `execute` | Run JavaScript code on the page | | `close` | Close session, returns video if recording enabled |
| Action | Description | Required Fields | |--------|-------------|-----------------| | `click` | Click element | `ref` | | `dblclick` | Double-click | `ref` | | `fill` | Clear and type text | `ref`, `text` | | `type` | Type without clearing | `text` | | `press` |
CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 185 skills, 280 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.
Repo: coco-research/coco
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