advanced-allure-reporting
Advanced Allure test reporting with custom categories, environment info, test history trends, flaky test detection, and CI/CD dashboard integration.
浏览 PramodDutta 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
39收录技能的仓库 Stars 合计
2,925仓库 Forks
39平均每个技能的仓库 Stars
75同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Advanced Allure test reporting with custom categories, environment info, test history trends, flaky test detection, and CI/CD dashboard integration.
Simulate aggressive user behavior patterns including rapid clicking, random navigation, form abuse, tab spamming, and unexpected interaction sequences to find UI resilience issues
Automated detection of breaking API changes including response format changes, removed endpoints, type changes, and deprecation enforcement.
API endpoint fuzzing for discovering unexpected behaviors, crashes, and security vulnerabilities through malformed requests, boundary values, and protocol violations.
Testing API schema evolution patterns including additive changes, field deprecation, type widening, and backward-compatible migration strategies.
Comprehensive website auditing skill using Lighthouse, PageSpeed Insights, and web performance APIs to audit performance, accessibility, SEO, best practices, and security.
Behavior-Driven Development skill using Cucumber, covering feature files, step definitions, Gherkin best practices, data tables, scenario outlines, and hooks.
Web application security testing using BurpSuite for proxy-based interception, scanning, and manual penetration testing of web applications.
Testing CDN configurations, cache hit ratios, cache invalidation, TTL policies, and edge caching behavior for optimal content delivery.
Advanced security analysis using GitHub CodeQL to find zero-day vulnerabilities, injection flaws, and security anti-patterns in source code.
Systematically detect, capture, and categorize browser console errors, warnings, and unhandled exceptions during automated test execution
Contract testing for GraphQL APIs including schema breaking change detection, query compatibility testing, and federated schema validation.
Automated cross-browser testing across Chrome, Firefox, Safari, and Edge with visual comparison, feature detection, and polyfill verification.
Detect dark mode rendering issues including contrast failures, missing theme tokens, image inversions, and transition glitches across components.
Systematic dark mode testing covering color contrast, theme switching, persistence, media query respect, component-level theming, and image adaptation.
Database performance testing including query optimization, index analysis, connection pooling, slow query detection, and N+1 query prevention.
Automated detection and reporting of broken links, missing resources, and orphaned pages across web applications using crawl-based and DOM-based strategies
Advanced debugging patterns for test failures covering root cause analysis, flakiness investigation, performance debugging, and systematic troubleshooting methodologies.
Automated scanning of project dependencies for known vulnerabilities using tools like npm audit, Snyk, and Dependabot patterns.
Audit empty states across web applications ensuring proper messaging, helpful CTAs, illustration rendering, and graceful handling when data is unavailable
Audit error messages across an application for clarity, actionability, consistency, and user-friendliness by cataloging and grading every error surface.
Android UI testing with Espresso framework including view matchers, actions, assertions, idling resources, and RecyclerView testing patterns.
Testing feature flag implementations including flag evaluation, gradual rollout verification, fallback behavior, and flag cleanup detection.
Frontend performance testing covering bundle size analysis, render performance, animation frame rate, React re-render detection, and lazy loading verification.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。