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agent-browser▌

am-will/codex-skills · updated Apr 8, 2026

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$npx skills add https://github.com/am-will/codex-skills --skill agent-browser
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summary

Fast Rust-based headless browser automation with real Chrome profile and session support.

  • ›Supports headless Chromium, real Chrome with profile/OAuth reuse via Chrome DevTools Protocol, and persistent session cookies for logged-in workflows
  • ›30+ commands covering navigation, interaction (click, type, fill, drag, upload), extraction (text, HTML, attributes, screenshots), and state checks
  • ›Deterministic element selection via snapshot refs (@e1, @e2, etc.) and semantic finders (role, text,
skill.md

Agent Browser

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.

Installation

npm recommended

npm install -g agent-browser
agent-browser install
agent-browser install --with-deps

From Source

git clone https://github.com/vercel-labs/agent-browser
cd agent-browser
pnpm install
pnpm build
agent-browser install

Quick Start

agent-browser open example.com
agent-browser snapshot
agent-browser click @e2
agent-browser fill @e3 "[email protected]"
agent-browser get text @e1
agent-browser screenshot page.png
agent-browser close

Using Real Chrome Profile (for OAuth/Logged-in Sessions)

For sites requiring Google/Discord/etc login (like star-swap.com):

Method 1: Launch Chrome with custom profile, connect via CDP

# Terminal 1: Launch Chrome with your real profile and remote debugging
google-chrome --remote-debugging-port=9222 --user-data-dir=/home/willr/.config/google-chrome/Default &

# Terminal 2: Connect agent-browser to that Chrome instance
agent-browser --cdp 9222 open "https://star-swap.com"
agent-browser --cdp 9222 snapshot -i
agent-browser --cdp 9222 click e2

# This reuses your existing Google session - no re-login needed!
# Works for: Google OAuth, Discord OAuth, any site you're logged into in Chrome

Method 2: Session persistence (first-time manual login)

# First time: headed mode, login manually
agent-browser --headed --session starswap open "https://star-swap.com"
# Complete Google OAuth manually in the browser window
# Close when done

# Future runs: cookies persist!
agent-browser --session starswap open "https://star-swap.com"
# Already logged in automatically

am.will.ryan Chrome profile: /home/willr/.config/google-chrome/Default

Core Commands

Navigation

agent-browser open <url>
agent-browser back
agent-browser forward
agent-browser reload

Interaction

agent-browser click <sel>
agent-browser dblclick <sel>
agent-browser focus <sel>
agent-browser type <sel> <text>
agent-browser fill <sel> <text>
agent-browser clear <sel>
agent-browser press <key>
agent-browser keydown <key>
agent-browser keyup <key>
agent-browser hover <sel>
agent-browser select <sel> <val>
agent-browser check <sel>
agent-browser uncheck <sel>
agent-browser drag <src> <tgt>
agent-browser upload <sel> <files>

Extraction and Info

agent-browser snapshot
agent-browser get text <sel>
agent-browser get html <sel>
agent-browser get value <sel>
agent-browser get attr <sel> <attr>
agent-browser get title
agent-browser get url
agent-browser get count <sel>
agent-browser get box <sel>
agent-browser screenshot [path]
agent-browser pdf <path>

Check State

agent-browser is visible <sel>
agent-browser is enabled <sel>
agent-browser is checked <sel>

Find Elements

  • agent-browser find role [value]
  • agent-browser find text
  • agent-browser find label [value]
  • agent-browser find placeholder [value]
  • agent-browser find alt
  • agent-browser find title
  • agent-browser find testid [value]

Actions include click, fill, check, hover, and text.

Wait and Timing

agent-browser wait <selector>
agent-browser wait <ms>
agent-browser wait --text "Welcome"
agent-browser wait --url "**/dash"
agent-browser wait --load networkidle

Advanced Control

agent-browser scroll <dir> [px]
agent-browser scrollintoview <sel>
agent-browser eval <js>
agent-browser mouse move <x> <y>
agent-browser cookies
agent-browser storage local
agent-browser tab new [url]
agent-browser frame <sel>
agent-browser dialog accept [text]

Sessions

Run multiple isolated browser instances.

agent-browser --session agent1 open site-a.com
agent-browser --session agent2 open site-b.com

Snapshot Options

The snapshot command supports filtering to reduce output size.

  • agent-browser snapshot -i
  • agent-browser snapshot -c
  • agent-browser snapshot -d 3
  • agent-browser snapshot -s "#main"

Selectors and Refs

Refs provide deterministic element selection from snapshots. Use the @ref syntax.

agent-browser snapshot
agent-browser click @e2

Agent Mode

Use --json for machine readable output.

agent-browser snapshot --json

Optimal AI Workflow

  • Navigate with agent-browser open
  • Observe with agent-browser snapshot -i --json
  • Act with @ref from the snapshot
  • Verify with agent-browser snapshot

Troubleshooting

  • If the command is not found on Linux ARM64, use the full path in the bin folder.
  • If an element is not found, use snapshot to find the correct ref.
  • If the page is not loaded, add a wait command after navigation.
  • Use --headed to see the browser window for debugging.

Options

  • --session uses an isolated session.
  • --json provides JSON output.
  • --full takes a full page screenshot.
  • --headed shows the browser window.
  • --timeout sets the command timeout in milliseconds.

Notes

  • Refs are stable per page load but change on navigation.
  • Always snapshot after navigation to get new refs.
  • Use fill instead of type for input fields to ensure existing text is cleared.
how to use agent-browser

How to use agent-browser on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add agent-browser
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/am-will/codex-skills --skill agent-browser

The skills CLI fetches agent-browser from GitHub repository am-will/codex-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/agent-browser

Reload or restart Cursor to activate agent-browser. Access the skill through slash commands (e.g., /agent-browser) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.6★★★★★45 reviews
  • ★★★★★Min Sharma· Dec 28, 2024

    agent-browser fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Evelyn Farah· Dec 16, 2024

    Registry listing for agent-browser matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Chaitanya Patil· Dec 12, 2024

    I recommend agent-browser for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Evelyn Khan· Dec 4, 2024

    Useful defaults in agent-browser — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Sophia Flores· Nov 23, 2024

    We added agent-browser from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Anaya Wang· Nov 15, 2024

    Useful defaults in agent-browser — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★William Kapoor· Nov 11, 2024

    agent-browser has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Sophia Okafor· Nov 7, 2024

    agent-browser reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Piyush G· Nov 3, 2024

    Solid pick for teams standardizing on skills: agent-browser is focused, and the summary matches what you get after install.

  • ★★★★★Yuki Abbas· Oct 26, 2024

    We added agent-browser from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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