Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.
npx skills add https://github.com/wshobson/agents --skill e2e-testing-patterns
Build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly and catch regressions before users do.
What to Test with E2E:
What NOT to Test with E2E:
The Testing Pyramid:
/\
/E2E\ ← Few, focused on critical paths
/─────\
/Integr\ ← More, test component interactions
/────────\
/Unit Tests\ ← Many, fast, isolated
/────────────\
Best Practices:
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
data-testid or data-cy for stable selectors// ❌ Bad selectors
cy.get(".btn.btn-primary.submit-button").click();
cy.get("div > form > div:nth-child(2) > input").type("text");
// ✅ Good selectors
cy.getByRole("button", { name: "Submit" }).click();
cy.getByLabel("Email address").type("[email protected]");
cy.get('[data-testid="email-input"]').type("[email protected]");
// Playwright debugging
// 1. Run in headed mode
npx playwright test --headed
// 2. Run in debug mode
npx playwright test --debug
// 3. Use trace viewer
await page.screenshot({ path: 'screenshot.png' });
await page.video()?.saveAs('video.webm');
// 4. Add test.step for better reporting
test('checkout flow', async ({ page }) => {
await test.step('Add item to cart', async () => {
await page.goto('/products');
await page.getByRole('button', { name: 'Add to Cart' }).click();
});
await test.step('Proceed to checkout', async () => {
await page.goto('/cart');
await page.getByRole('button', { name: 'Checkout' }).click();
});
});
// 5. Inspect page state
await page.pause(); // Pauses execution, opens inspector
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take wshobson/e2e-testing-patterns from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.