playwright-cli

Overview of playwright-cli skill

What playwright-cli is for

playwright-cli is a browser automation skill for running Playwright from the command line. It helps when you need to open pages, inspect elements, click through flows, fill forms, capture screenshots, mock requests, or generate test code from real interactions. The playwright-cli skill is best for users who want repeatable Browser Automation without writing a full script first.

When it fits best

Use playwright-cli when the task is interactive and page-driven: login flows, smoke checks, scraping a few fields, validating UI states, or reproducing a bug in a real browser. It is especially useful when the page structure is unclear and a snapshot-driven workflow is faster than guessing selectors.

What makes it different

The skill is not just a command list. It supports a practical loop: open a page, snapshot the DOM, act on element refs, then reuse generated Playwright code in a test file. That makes playwright-cli useful both for quick automation and for turning exploratory work into durable test coverage.

How to Use playwright-cli skill

Install and first read

Install the playwright-cli skill with npx skills add VoltAgent/voltagent --skill playwright-cli. Then start with SKILL.md, and read the reference files that match your task before you run anything: references/session-management.md for isolated sessions, references/storage-state.md for login persistence, references/request-mocking.md for network control, references/running-code.md for advanced Playwright calls, references/test-generation.md for code export, and references/tracing.md or references/video-recording.md for debugging evidence.

Turn a rough goal into usable input

Strong prompts name the site, the goal, and the constraints. For example, instead of “check the checkout page,” ask for “open the staging checkout flow, sign in with a test account, verify shipping options, and capture a screenshot after the payment step.” For playwright-cli usage, include whether you need a named session, saved storage state, or request mocking, because those choices change the command sequence.

Recommended workflow

Start with playwright-cli open <url> or playwright-cli goto <url>, then run snapshot to get element refs before acting. Prefer semantic actions like click, fill, check, and select over raw page scripting when the CLI command covers the need. Use eval or run-code only when the interaction is outside the normal command set, and save state with state-save if you plan to continue later. This is the main playwright-cli guide pattern for reliable Browser Automation.

Practical commands and file paths

Use playwright-cli snapshot to inspect the current page, route / unroute to shape network responses, state-load to restore authenticated state, and tracing-start / tracing-stop when a run needs diagnosis. If the page behaves unexpectedly, check references/request-mocking.md and references/test-generation.md first; those two files usually answer the highest-value questions fastest.

playwright-cli skill FAQ

Is playwright-cli only for testing?

No. It is useful for testing, scraping, debugging, and scripted browser work. The same playwright-cli skill can help a user verify a UI or gather data from a site, as long as the task is browser-based and repeatable.

Do I need to know Playwright first?

Not much. Beginners can use the CLI commands and snapshots without writing code. If you want to move from exploration to stable automation, the generated Playwright TypeScript in test-generation.md gives you a bridge into normal Playwright workflows.

When should I not use it?

Avoid playwright-cli when the task is better solved by API calls, static HTML parsing, or a simple shell command. It is also a poor fit for jobs that do not need a browser, because the browser session, state handling, and snapshots add overhead you do not need.

How is it different from a generic prompt?

A generic prompt may describe the goal, but playwright-cli install gives you a structured browser workflow with session isolation, storage management, tracing, and mockable network behavior. That matters when you need repeatability, not just a one-off answer.

How to Improve playwright-cli skill

Give the skill the right browser context

The biggest quality boost comes from specifying the starting state: logged in or not, which domain to open, whether a fresh session is required, and whether cookies or localStorage should persist. For playwright-cli for Browser Automation, that context prevents the most common failure mode: the right actions on the wrong browser state.

Use concrete page targets

Name visible labels, button text, URLs, and expected outcomes. Better input looks like “fill Email, fill Password, click Sign In, and confirm the URL contains /dashboard” rather than “log in and see if it works.” If a page is dynamic, mention the parts that change so the snapshot-based workflow can be used deliberately.

Iterate with evidence

If the first run fails, feed back the exact command output, the snapshot refs, or a trace/video file instead of restating the goal. That helps narrow selector problems, timing issues, or session confusion much faster. For repeat runs, reuse storage state or a named session instead of starting over; that is often the difference between a flaky demo and a dependable playwright-cli skill workflow.