476 skills available for 30+ AI coding agents
by thetestingacademy
Teach agents to use AI browser agents for exploratory and smoke QA with step budgets, evidence-based assertions, guardrails, and Playwright conversion.
by user_3HPCBVoYLahO4cjKVFw0uGNQxef
Generates a manual QA test case sheet (CSV) from source code for a named feature, module, or file. Trigger on 'generate test cases for X', 'test case sheet for this feature', or 'write manual test cases for this file'. Not for automated test scripts.
Component and API snapshot testing to detect unexpected changes across releases
Opinionated pytest patterns for AI agents - conftest fixture scoping, parametrize, markers, pyproject config, coverage, xdist parallelism, mocking, and AAA-structured test naming.
by Pramod
Simulate aggressive user behavior patterns including rapid clicking, random navigation, form abuse, tab spamming, and unexpected interaction sequences to find UI resilience issues
Expert-level Robot Framework testing skill covering keyword-driven syntax, SeleniumLibrary, RequestsLibrary, custom Python keywords, data-driven testing, resource files, and parallel execution with Pabot.
Detect and eliminate N+1 query problems in database-backed applications through query counting, execution plan analysis, and ORM configuration auditing
Cross-browser E2E testing with WebdriverIO, Cucumber integration, and visual regression
Test quality verification with Stryker mutation testing for JavaScript and TypeScript
Android UI testing framework with synchronization, view matchers, and actions
Master code review best practices with constructive feedback patterns, quality assurance standards, review checklists, security considerations, and collaborative improvement techniques for high-quality software delivery.
Write clear bug reports with reproduction steps and severity classification
Automated detection and reporting of broken links, missing resources, and orphaned pages across web applications using crawl-based and DOM-based strategies
Identify untested code paths, uncovered branches, and missing test scenarios using coverage analysis, risk mapping, and change-based coverage tracking
Systematically detect, capture, and categorize browser console errors, warnings, and unhandled exceptions during automated test execution
Comprehensive Python testing best practices with pytest, covering unit testing, integration testing, mocking, fixtures, property-based testing, and test architecture.
Detect and reproduce race conditions in web applications including double submissions, concurrent state mutations, and timing-dependent UI bugs
Detect timezone-related bugs including incorrect date conversions, DST edge cases, locale formatting issues, and UTC offset miscalculations across application layers
Native iOS UI testing with Swift and Xcode Test Navigator integration
Flexible JavaScript testing framework with async support, hooks, and rich reporter ecosystem