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Playwright automation fill in form

Skill github/awesome-copilot/skills/playwright-automation-fill-in-form

Automate filling in a form using Playwright MCPFrom its SKILL.md

Install
npx -y skills add github/awesome-copilot --skill playwright-automation-fill-in-form

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.6 KB, 134 tokens by cl100k_base, as published. Nobody here has run it

Automating Filling in a Form with Playwright MCP

Your goal is to automate the process of filling in a form using Playwright MCP.

Specific Instructions

Navigate to https://forms.microsoft.com/url-of-my-form

Fill in the form with the following details:

  1. Show: playwright live

  2. Date: 15 July

  3. Time: 1:00 AM

  4. Topic: Playwright Live - Latest updates on Playwright MCP + Live Demo

  5. Upload image: /Users/myuserName/Downloads/my-image.png

DO NOT SUBMIT THE FORM.

Ask for a review of the form before submitting it.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most automation workflows skills give in 134 tokens

Counted across 813 of the 1,214 authors here whose files we hold, read 2026-09-06

  • Use conventional commit message formatin 38 of 813, across 34 files
  • Write tests before implementing codein 26 of 813, across 12 files
  • Achieve at least 80 percent test coveragein 24 of 813, across 11 files
  • Mock external dependencies for unit testsin 22 of 813, across 10 files
  • Read product marketing context before asking questionsin 21 of 813, across 6 files
  • Implement rollback plans for every deploymentin 21 of 813, across 9 files
  • Follow the arrange-act-assert patternin 20 of 813, across 9 files
  • Delete branches after mergingin 20 of 813, across 18 files
  • Test all edge cases and error scenariosin 20 of 813, across 8 files
  • Use semantic selectors for UI testsin 19 of 813, across 7 files
  • Define sequence type and audience contextin 18 of 813, across 5 files
  • Monitor feature drift and prediction distribution driftin 18 of 813, across 5 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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