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.
What this skill does
# 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 ```bash npm install -g agent-browser agent-browser install agent-browser install --with-deps ``` ### From Source ```bash git clone https://github.com/vercel-labs/agent-browser cd agent-browser pnpm install pnpm build agent-browser install ``` ## Quick Start ```bash 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** ```bash # 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)** ```bash # 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 ```bash agent-browser open <url> agent-browser back agent-browser forward agent-browser reload ``` ### Interaction ```bash 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 ```bash 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 ```bash agent-browser is visible <sel> agent-browser is enabled <sel> agent-browser is checked <sel> ``` ### Find Elements - agent-browser find role <role> <action> [value] - agent-browser find text <text> <action> - agent-browser find label <label> <action> [value] - agent-browser find placeholder <ph> <action> [value] - agent-browser find alt <text> <action> - agent-browser find title <text> <action> - agent-browser find testid <id> <action> [value] Actions include click, fill, check, hover, and text. ### Wait and Timing ```bash 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 ```bash 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. ```bash 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. ```bash agent-browser snapshot agent-browser click @e2 ``` ## Agent Mode Use --json for machine readable output. ```bash agent-browser snapshot --json ``` ### Optimal AI Workflow - Navigate with agent-browser open <url> - 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 <name> 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.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.