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Playwright Trace

OrganizationPopular
microsoft
playwright-trace

Inspect Playwright trace files from the command line — list actions, view requests, console, errors, snapshots and screenshots.

Overview

Publishermicrosoft
Repositoryplaywright
Skill nameplaywright-trace
Stars
96.9K
Forks
6.5K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Playwright Trace AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/microsoft/playwright/tree/main/packages/playwright-core/src/tools/skills/playwright-trace
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/microsoft/playwright.git /tmp/playwright
mkdir -p .claude/skills
cp -r /tmp/playwright/packages/playwright-core/src/tools/skills/playwright-trace .claude/skills/playwright-trace
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Playwright Trace in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Playwright Trace on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Playwright Trace is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Playwright Trace CLI

Inspect .zip trace files produced by Playwright tests without opening a browser.

Workflow

  1. Start with trace open <trace.zip> to extract the trace and see its metadata.
  2. Use trace actions to see all actions with their action IDs.
  3. Use trace action <action-id> to drill into a specific action — see parameters, logs, source location, and available snapshots.
  4. Use trace requests, trace console, or trace errors for cross-cutting views.
  5. Use trace snapshot <action-id> to get the DOM snapshot, or run a browser command against it.
  6. Use trace close to remove the extracted trace data when done.

All commands after open operate on the currently opened trace — no need to pass the trace file again. Opening a new trace replaces the previous one.

Commands

Open a trace

bash
# Extract trace and show metadata: browser, viewport, duration, action/error counts
npx playwright trace open <trace.zip>

Close a trace

bash
# Remove extracted trace data
npx playwright trace close

Actions

bash
# List all actions as a tree with action IDs and timing
npx playwright trace actions

# Filter by action title (regex, case-insensitive)
npx playwright trace actions --grep "click"

# Only failed actions
npx playwright trace actions --errors-only

Action details

bash
# Show full details for one action: params, result, logs, source, snapshots
npx playwright trace action <action-id>

The action command displays available snapshot phases (before, action, after) and the exact command to extract them.

Requests

bash
# All network requests: start time (on the `trace actions` clock), method, status, URL, duration, size
npx playwright trace requests

# Filter by URL pattern
npx playwright trace requests --grep "api"

# Filter by HTTP method
npx playwright trace requests --method POST

# Only failed requests (status >= 400)
npx playwright trace requests --failed

Request details

bash
# Show full details for one request: headers, body, security
npx playwright trace request <request-id>

Console

bash
# All console messages and stdout/stderr
npx playwright trace console

# Only errors
npx playwright trace console --errors-only

# Only browser console (no stdout/stderr)
npx playwright trace console --browser

# Only stdout/stderr (no browser console)
npx playwright trace console --stdio

# Filter by message text pattern
npx playwright trace console --grep "failed to fetch"

Errors

bash
# All errors with stack traces and associated actions
npx playwright trace errors

Snapshots

The snapshot command loads the DOM snapshot for an action into a headless browser and runs a single browser command against it. Without a browser command, it returns the accessibility snapshot.

bash
# Get the accessibility snapshot (default)
npx playwright trace snapshot <action-id>

# Use a specific phase
npx playwright trace snapshot <action-id> --phase before

# Run eval to query the DOM
npx playwright trace snapshot <action-id> -- eval "document.title"
npx playwright trace snapshot <action-id> -- eval "document.querySelector('#error').textContent"

# Eval on a specific element ref (from the snapshot)
npx playwright trace snapshot <action-id> -- eval "el => el.getAttribute('data-testid')" e5

# Take a screenshot of the snapshot
npx playwright trace snapshot <action-id> -- screenshot

# Redirect output to a file
npx playwright trace snapshot <action-id> -- eval "document.body.outerHTML" --filename=page.html
npx playwright trace snapshot <action-id> -- screenshot --filename=screenshot.png

Only three browser commands are useful on a frozen snapshot: snapshot, eval, and screenshot.

Attachments

bash
# List all trace attachments
npx playwright trace attachments

# Extract an attachment by its number
npx playwright trace attachment 1
npx playwright trace attachment 1 -o out.png

Typical investigation

bash
# 1. Open the trace and see what's inside
npx playwright trace open test-results/my-test/trace.zip

# 2. What actions ran?
npx playwright trace actions

# 3. Which action failed?
npx playwright trace actions --errors-only

# 4. What went wrong?
npx playwright trace action 12

# 5. What did the page look like at that moment?
npx playwright trace snapshot 12

# 6. Query the DOM for more detail
npx playwright trace snapshot 12 -- eval "document.querySelector('.error-message').textContent"

# 7. Any relevant network failures?
npx playwright trace requests --failed

# 8. Any console errors?
npx playwright trace console --errors-only

Frequently asked questions

What does the Playwright Trace AI skill do?

Inspect Playwright trace files from the command line — list actions, view requests, console, errors, snapshots and screenshots.

Why use Playwright Trace on TypingMind?

Because you install it once and use it with any model. Playwright Trace is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Playwright Trace in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/playwright/tree/main/packages/playwright-core/src/tools/skills/playwright-trace. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Playwright Trace?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Playwright Trace?

As many as you like. As long as a model supports skills, you can use Playwright Trace with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Playwright Trace AI skill free?

Yes. It is published on GitHub by microsoft under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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