qa-testing-playwright

vasilyu1983/ai-agents-public · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/vasilyu1983/ai-agents-public --skill qa-testing-playwright
0 commentsdiscussion
summary

High-signal, cost-aware E2E testing for web applications.

skill.md

QA Testing (Playwright)

High-signal, cost-aware E2E testing for web applications.

Core docs:

Defaults (2026)

  • Keep E2E thin: protect critical user journeys only; push coverage down (unit/integration/contract).
  • Locator priority: getByRolegetByLabel/getByTextgetByTestId (fallback).
  • Waiting: rely on Playwright auto-wait + web-first assertions; no sleeps/time-based waits.
  • Isolation: tests must run alone, in parallel, and in any order; eliminate shared mutable state.
  • Flake posture: retries are a debugging tool; treat rerun-pass as a failure signal and fix root cause.
  • CI posture: smoke gate on PRs; shard/parallelize regression on schedule; always keep artifacts (trace/video/screenshot).

Quick Start

Command Purpose
npm init playwright@latest Initialize Playwright
npx playwright test Run all tests
npx playwright test --grep @smoke Run smoke tests
npx playwright test --project=chromium Run a single project
npx playwright test --ui Debug with UI mode
npx playwright test --debug Step through a test
npx playwright show-trace trace.zip Inspect trace artifacts
npx playwright show-report Inspect HTML report

When to Use

  • E2E tests for web applications
  • Test user authentication flows
  • Verify form submissions
  • Test responsive designs
  • Automate browser interactions
  • Set up Playwright in CI/CD

When NOT to Use

Scenario Use Instead
Unit testing Jest, Vitest, pytest
API contracts qa-api-testing-contracts
Load testing k6, Locust, Artillery
Mobile native Appium

Authoring Rules

Locator Strategy

// 1. Role locators (preferred)
await page.getByRole('button', { name: 'Sign in' }).click();

// 2. Label/text locators
await page.getByLabel('Email').fill('[email protected]');

// 3. Test IDs (fallback)
await page.getByTestId('user-avatar').click();

Flake Control

  • Avoid sleeps; use Playwright auto-wait
  • Use retries as signal, not a crutch
  • Capture trace/screenshot/video on failure
  • Prefer user-like interactions; avoid force: true

Workflow

  • Write the smallest test that proves the user outcome (intent + oracle).
  • Stabilize locators and assertions before adding more steps.
  • Make state explicit: seed per test/worker, clean up deterministically, mock third-party boundaries.
  • In CI: shard/parallelize, capture artifacts, and fail fast on rerun-pass flakes.

Debugging Checklist

If something is flaky:

  • Open trace first; identify whether it is selector ambiguity, missing wait, or state leakage.
  • Replace brittle selectors with semantic locators; replace sleeps with expect(...) or a targeted wait.
  • Reduce global timeouts; add scoped timeouts only when the product truly needs it.
  • If it only fails in CI, look for concurrency, cold-start, CPU starvation, and environment differences.

Do / Avoid

  • Make tests independent and deterministic

  • Use network mocking for third-party deps

  • Run smoke E2E on PRs; full regression on schedule

  • "Test everything E2E" as default

  • Weakening assertions to "fix" flakes

  • Auto-healing that weakens assertions

Execution Preflight (High ROI)

Run this preflight before expensive E2E runs to prevent avoidable failures.

Preflight Checklist

  1. Repository shape:
  • Confirm working directory and expected app root exist.
  • Verify spec paths before execution (rg --files tests/e2e | rg <target>).
  1. Port/process hygiene:
  • Check and clear stale dev server port before run (example: lsof -i :3001).
  • Avoid parallel local servers colliding with Playwright webServer.
  1. Command validity:
  • Validate CLI flags for current tool versions before batch runs.
  • Prefer exact spec paths or --grep over broad globs during triage.
  1. Artifact expectations:
  • Confirm result artifact paths exist before reading (test -f <error-context.md>).
  • If artifact path missing, inspect latest test-results index first.

Mandatory Sandbox/Port Decisions

Before running Playwright in constrained environments (sandboxed terminals, CI containers, shared dev hosts), decide and document:

  • Bind host/port: confirm whether app server must use 127.0.0.1 or 0.0.0.0, and verify selected port is free.
  • Escalation path: if bind attempts fail with EPERM/EACCES, escalate immediately instead of retry loops.
  • Long-flow timeout budget: set explicit per-test timeout for API-heavy flows (generation/checkout/report) instead of inflating global timeout.
  • Build lock hygiene: clear stale .next/lock and terminate stale build/dev PIDs before rerun.

Triage Sequence (Fastest Signal)

  1. Reproduce one failing test with --workers=1.
  2. Capture trace/video/screenshot for that single failure.
  3. Fix determinism root cause.
  4. Re-run targeted suite.
  5. Only then run broad regression.

Failure Patterns to Treat as Environment, Not Product Bugs

  • EADDRINUSE on Playwright web server port
  • Missing spec/result paths from stale assumptions
  • Shell glob expansion failures for bracketed route segments

Resources

Resource Purpose
references/playwright-mcp.md MCP & AI testing
references/playwright-patterns.md Advanced patterns
references/playwright-ci.md CI configurations
references/playwright-authentication.md Auth patterns and session management
references/visual-regression-testing.md Visual regression strategies
references/api-testing-playwright.md API testing with APIRequestContext
references/playwright-preflight-sandbox.md Sandbox/port preflight and escalation decisions
data/sources.json Documentation links

Templates

Template Purpose
assets/template-playwright-e2e-review-checklist.md E2E review checklist
assets/template-playwright-fail-on-flaky-reporter.js Fail CI on rerun-pass flakes
assets/template-playwright-preflight-checklist.md Preflight checklist for port/sandbox/timeouts

Related Skills

Skill Purpose
qa-testing-strategy Overall test strategy
software-frontend Frontend development
ops-devops-platform CI/CD integration

Fact-Checking

  • Use web search/web fetch to verify current external facts, versions, pricing, deadlines, regulations, or platform behavior before final answers.
  • Prefer primary sources; report source links and dates for volatile information.
  • If web access is unavailable, state the limitation and mark guidance as unverified.
how to use qa-testing-playwright

How to use qa-testing-playwright on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add qa-testing-playwright
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vasilyu1983/ai-agents-public --skill qa-testing-playwright

The skills CLI fetches qa-testing-playwright from GitHub repository vasilyu1983/ai-agents-public and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/qa-testing-playwright

Reload or restart Cursor to activate qa-testing-playwright. Access the skill through slash commands (e.g., /qa-testing-playwright) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.631 reviews
  • Valentina Martin· Dec 28, 2024

    qa-testing-playwright fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Shikha Mishra· Dec 8, 2024

    Useful defaults in qa-testing-playwright — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yash Thakker· Nov 27, 2024

    qa-testing-playwright has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 23, 2024

    Registry listing for qa-testing-playwright matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sofia Malhotra· Nov 19, 2024

    qa-testing-playwright is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Luis Patel· Nov 11, 2024

    qa-testing-playwright reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dhruvi Jain· Oct 18, 2024

    Solid pick for teams standardizing on skills: qa-testing-playwright is focused, and the summary matches what you get after install.

  • Chaitanya Patil· Oct 14, 2024

    qa-testing-playwright reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mateo Menon· Oct 10, 2024

    Keeps context tight: qa-testing-playwright is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Haddad· Oct 2, 2024

    Registry listing for qa-testing-playwright matched our evaluation — installs cleanly and behaves as described in the markdown.

showing 1-10 of 31

1 / 4