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playwright-regression-testing

playwright-regression-testing

Govern Playwright TypeScript regression suites across many tests. Use when asked to plan, select, tier, execute, or optimize suites with risk/change analysis, tags, CI/CD, sharding, flaky-test management, or suite-health metrics; not for authoring one UI spec. Keywords: regression strategy, smoke tests, test selection, CI pipeline, flaky tests, test shardin…

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name: playwright-regression-testing description: 'Govern Playwright TypeScript regression suites across many tests. Use when asked to plan, select, tier, execute, or optimize suites with risk/change analysis, tags, CI/CD, sharding, flaky-test management, or suite-health metrics; not for authoring one UI spec. Keywords: regression strategy, smoke tests, test selection, CI pipeline, flaky tests, test sharding, impact analysis, git diff.' license: 'Complete terms in LICENSE.txt'

Playwright Regression Testing (TypeScript)

Strategy and best practices for automated regression testing of web applications using Playwright with TypeScript.

Activation: This skill is triggered when working with regression test strategy, test suite selection, test prioritization, CI/CD pipeline testing, flaky test management, test sharding, or optimizing test execution for web applications using Playwright.

When to Use This Skill

  • Plan regression suites with risk-based and change-based test selection
  • Organize tests into tiers (smoke, sanity, selective, full regression)
  • Optimize execution with parallelization, sharding, and time-budget strategies
  • Integrate with CI/CD using GitHub Actions pipelines
  • Manage flaky tests with quarantine, retry policies, and root cause tracking
  • Monitor suite health with execution time, flake rate, and detection metrics
  • Select tests after changes using git diff analysis and impact mapping

Do NOT Use For

  • Authoring a single UI spec or page-object model (use playwright-e2e-testing).
  • Driving a live browser interactively for debugging (use playwright-cli).
  • Selenium/Java regression suites (use webapp-selenium-testing).
  • API contract testing in isolation (use api-testing).

Prerequisites

RequirementDetails
Node.jsv18+ recommended
Playwright@playwright/test package
TypeScripttypescript configured in project
BrowsersInstalled via npx playwright install
GitRequired for change-based test selection
GitHub ActionsRecommended CI/CD platform

Quick Reference

Tiers: Smoke (<2min, every commit) → Sanity (<10min, every PR) → Selective (<30min, on merge) → Full (<60min, nightly/pre-release).

Key tags: @smoke, @sanity, @regression, @e2e, @api, @destructive — exactly one per test, never on describe() blocks. Domain-specific extensions (e.g., @a11y in accessibility skills) are allowed alongside, but only one execution tag per test.

CLI: npx playwright test --grep @smoke | --grep @regression | --grep-invert @destructive | --shard=1/4 | --last-failed

For full tier model, regression types table, and tag taxonomy, see references/regression-catalogs.md.


Red Flags

  • Treating flaky tests as "fixed" by adding retries or waitForTimeout — quarantine and root-cause instead.
  • Running the full suite on every commit — use tiered selection (smoke on commit, full nightly).
  • Quarantining tests silently with no tracking ticket — quarantine must be temporary and owned.
  • No change-based selection — running everything regardless of what changed wastes CI budget.
  • Ignoring suite-health metrics (rising duration, climbing flake rate) until they block releases.

References

DocumentContent
Regression StrategyTier model (smoke→full), regression types, triggers, directory layout, test tagging and tag taxonomy
Regression SelectionTest selection (change-based, risk-based, historical, time-budget) and test naming conventions
Regression Best PracticesLocator priority, web-first assertions, test independence, test.step() reporting, complete worked example test
CI/CD IntegrationGitHub Actions tiered pipeline, sharding, merge reports, Playwright config, performance optimization, CLI reference
Flaky ManagementRetry policies, quarantine strategies, detection checklist, suite health metrics, troubleshooting

Verification

  • Smoke test subset identified — Tagged @smoke tests run in under 2 minutes
  • No test duplication — Each scenario tested exactly once at the appropriate level
  • Test isolation verified — Running tests in random order produces same results as sequential
  • Flaky test baseline established — All tests pass 5/5 consecutive runs
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