Systematically detect, capture, and categorize browser console errors, warnings, and unhandled exceptions during automated test execution

Generate consumer-driven contract tests using Pact framework to verify API provider-consumer compatibility and prevent integration breaking changes

Effective patterns for using GitHub Copilot to generate, refactor, and maintain test code including prompt engineering for test generation, Copilot Chat for debugging, inline suggestions for assertions, and workspace context optimization.

Effective test automation patterns with Cursor AI IDE including Composer for test suite generation, Cmd+K for inline test edits, Chat for test debugging, codebase-aware test generation, and rules configuration for testing conventions.

Component testing patterns with Cypress v14 including React, Vue, and Angular component mounting, custom mount commands, interaction testing, visual snapshots, and integration with Vite and Webpack bundlers.

Detect dark mode rendering issues including contrast failures, missing theme tokens, image inversions, and transition glitches across components.

Automated detection and reporting of broken links, missing resources, and orphaned pages across web applications using crawl-based and DOM-based strategies

Detect, quarantine, and systematically fix flaky tests with automated retry analysis, root cause categorization, and CI pipeline integration for test reliability

Exhaustive testing of form validation logic including boundary values, injection payloads, encoding edge cases, and client-server validation bypass techniques

Debug and fix failing GitHub PR checks by inspecting GitHub Actions logs, summarizing failure context, drafting fix plans, and implementing fixes after approval.

Comprehensive testing patterns for Katalon Studio including codeless record-and-playback, Groovy scripted testing, custom keywords, data-driven testing, cross-browser execution, and CI/CD integration with Katalon TestOps.

Verify loading indicators, skeleton screens, and progress bars appear correctly during async operations and disappear on completion or error.

AI-powered testing patterns with Mabl including auto-healing tests, visual regression, API testing, performance monitoring, CI/CD integration, and intelligent test maintenance using Mabl's machine learning capabilities.

Identify and diagnose memory leaks in web applications using heap snapshots, allocation timelines, and automated leak detection patterns.

Test touch gestures including swipe, pinch-to-zoom, long press, and drag-and-drop on mobile viewports and touch-enabled devices.

Mobile application performance testing including app launch time, frame rendering, memory profiling, battery consumption, network throttling, and crash analytics using Appium, XCTest, and Espresso with real device testing.

Generate and run mutation tests to measure test suite effectiveness by introducing code mutations and verifying detection rates.

Analyze page load performance using Core Web Vitals, Lighthouse scores, resource waterfall analysis, and performance budgets with automated regression detection.

Generate optimized test combinations using pairwise (all-pairs) testing algorithms to achieve maximum coverage with minimum test cases across multiple input parameters

Generate realistic performance test scenarios with load profiles, ramp-up patterns, think times, and acceptance criteria derived from production traffic analysis

Enterprise-grade Playwright test automation framework using 8-layer architecture with Page Object Model, Module Pattern, custom fixtures, API testing layer, structured logging, data generators, multi-browser support, Docker, CI/CD pipelines, and custom HTML reporting.

Testing patterns for Playwright AI-powered agents including the Planner, Generator, and Healer architecture for self-healing test automation, intelligent test generation, and adaptive test execution strategies.

CLI-first browser automation using Playwright CLI for navigation, form filling, snapshots, screenshots, data extraction, and UI-flow debugging from the terminal.

Advanced Playwright automation with auto-detection, custom fixtures, trace debugging, visual testing, mobile emulation, and production-grade test architecture.

Build lightweight production smoke test suites that verify critical user paths, API health, and third-party integrations after every deployment.

Detect and diagnose race conditions in web applications through concurrent interaction testing, state mutation analysis, and timing-sensitive scenario reproduction.

Convert bug reports and incident post-mortems into automated regression tests that prevent recurrence of previously discovered defects.

Systematically test responsive layouts across breakpoints to find overflow, overlap, and alignment bugs using viewport simulation and visual comparison.

Cross-platform desktop and application screenshot capture for visual testing, UI verification, and automated visual comparison across macOS, Linux, and Windows.

Comprehensive SDET interview preparation covering coding challenges, system design for testing, automation framework design, CI/CD pipeline questions, testing strategy discussions, and behavioral interview patterns for QA engineering roles.

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations to produce actionable AppSec-grade threat models.

Automatically generate comprehensive test cases from user stories and acceptance criteria using BDD patterns, equivalence partitioning, and risk-based prioritization

Identify untested code paths, uncovered branches, and missing test scenarios using coverage analysis, risk mapping, and change-based coverage tracking

Build reusable test data factories with realistic fake data generation, relationship handling, and deterministic seeding for reproducible tests.

Quantify and prioritize test technical debt by analyzing coverage gaps, flaky test ratios, outdated assertions, and missing test categories across codebases.

Test plan generation skill covering requirements analysis, test strategy, coverage matrices, risk-based testing, and test estimation techniques.

Building test reporting dashboards with real-time execution metrics, trend analysis, flaky test detection, coverage visualization, and integration with Allure, ReportPortal, and custom dashboards using Grafana and Prometheus.

Comprehensive test strategy design methodology covering risk-based testing, test pyramid optimization, coverage planning, environment strategy, data management, and test automation ROI analysis for enterprise and startup contexts.

End-to-end test automation using testRigor's plain English syntax for writing maintainable tests without coding, covering cross-browser testing, mobile testing, API validation, and integrations with CI/CD pipelines.

Identify and log user experience friction points including excessive clicks, confusing navigation, slow interactions, and workflow bottlenecks through automated heuristic analysis

Enforces rigorous verification evidence before any claims of task completion, preventing false positives, untested deployments, and premature celebration with a structured gate function.

Natural language test automation methodology where tests are written as plain English instructions, leveraging AI agents to interpret intent, generate executable tests, and maintain test suites without traditional code-based selectors or assertions.

Anthropic's official web application testing skill using native Python Playwright scripts with helper utilities for server lifecycle management, browser automation, and comprehensive E2E testing workflows.

You are a content strategist who specialises in technical and founder LinkedIn content. Your job is to convert raw input into a high-performing LinkedIn post that follows the platform's proven content

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Scrape daily job listings from YCombinator's Workatastartup platform without duplicates. Use this skill when asked to scrape YC jobs, update the YC companies list, or retrieve the latest startup jobs. It handles authentication, extracts company slugs via Inertia.js JSON payloads, falls back to public YC job pages when necessary, and maintains a local SQLite database to track historical jobs and prevent duplicates.

Rewrites AI-generated marketing copy to sound naturally human. It removes common AI cliches, adjusts the pacing, and ensures the tone is authentic and engaging.

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