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Recording Browser Flow As Test

Community
spencerpauly
recording-browser-flow-as-test

Execute a user flow step-by-step in Cursor's built-in browser while documenting each action, then emit a Playwright test that replays the same flow using stable selectors derived from the accessibility tree.

Overview

Publisherspencerpauly
Repositoryawesome-cursor-skills
Skill namerecording-browser-flow-as-test
Stars
848
Forks
169
Bundled files
Instructions only
LicenseCC0-1.0
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 spencerpauly on GitHub. Read the source before you install it.

Installation

Install the Recording Browser Flow As Test 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/spencerpauly/awesome-cursor-skills/tree/main/resources/recording-browser-flow-as-test
  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/spencerpauly/awesome-cursor-skills.git /tmp/awesome-cursor-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-cursor-skills/resources/recording-browser-flow-as-test .claude/skills/recording-browser-flow-as-test
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Recording Browser Flow As Test 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 Recording Browser Flow As Test 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 Recording Browser Flow As Test 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.

Recording Browser Flow as Playwright Test

Use the browser MCP as a recorder: every navigation, click, fill, and keypress becomes a row in a script. The agent then translates that trace into a Playwright test file in the repo (or a snippet to paste into an existing spec).

This is Cursor-native because it combines browser_snapshot (refs + roles + names) with structured actions — not a separate recorder extension.

Prerequisites

  • Target app reachable (e.g. dev server running); use finding-dev-server-url if needed.
  • Repo has or will have Playwright installed (@playwright/test). If not, add it with adding-e2e-tests or the project’s standard setup.

Recording workflow

1. Define the flow

One sentence scope, e.g. “Log in, open Settings, toggle dark mode, save.”

2. For each step, in order

  1. browser_snapshot — get the accessibility tree and element refs.

  2. Choose the smallest interaction:

    • browser_click with ref from snapshot (not coordinate clicks unless required).
    • browser_fill or browser_type for inputs.
    • browser_select_option for selects.
    • browser_navigate for full URL changes.
  3. Log the step in a structured list the main agent keeps:

    • Step number
    • Action verb (navigate, click, fill, press, select)
    • Locator strategy for Playwright — prefer:
      • getByRole('button', { name: '...' })
      • getByLabel('...')
      • getByPlaceholder('...')
      • getByTestId('...') if the app uses test IDs
    • Value (for fills), URL (for navigates)
    • Optional: short assertion (“expect URL to contain /settings”)
  4. After actions that change the DOM or navigate, take a new browser_snapshot before the next interaction.

  5. If the flow must wait for async content, use browser_wait_for or short incremental waits per cursor-ide-browser guidance — then snapshot again.

3. Add assertions

From the final snapshot and URL, add at least:

  • expect(page).toHaveURL(...) or URL fragment check
  • One visible outcome: text, role, or test id

4. Generate Playwright output

Emit a test file, e.g. tests/recorded/<flow-name>.spec.ts, containing:

  • test.describe and test('...', async ({ page }) => { ... })
  • Steps as await page.goto(...), await page.getByRole(...).click(), etc.
  • No raw snapshot refs in the final file — they are session-specific.

5. Run and harden

bash
npx playwright test tests/recorded/<flow-name>.spec.ts

Fix flakiness: prefer expect(locator).toBeVisible() before clicks, use toPass() retries for async lists, avoid arbitrary waitForTimeout except as last resort.

Tips

  • Stable selectors: roles and accessible names beat CSS from devtools. Add data-testid in app code if names are ambiguous.
  • Auth: if the flow needs login, use env vars for test credentials or Playwright storageState — never commit secrets.
  • Parallel runs: ensure test data does not collide with other tests.

When not to use

  • Flows that require manual 2FA, captchas, or email links — stop and ask the user for a test bypass or mock.

Frequently asked questions

What does the Recording Browser Flow As Test AI skill do?

Execute a user flow step-by-step in Cursor's built-in browser while documenting each action, then emit a Playwright test that replays the same flow using stable selectors derived from the accessibility tree.

Why use Recording Browser Flow As Test on TypingMind?

Because you install it once and use it with any model. Recording Browser Flow As Test 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 Recording Browser Flow As Test in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/recording-browser-flow-as-test. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Recording Browser Flow As Test?

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 Recording Browser Flow As Test?

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

Is the Recording Browser Flow As Test AI skill free?

Yes. It is published on GitHub by spencerpauly under the CC0-1.0 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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