proffesor-for-testing AI Skills

Browse published AI skills maintained by proffesor-for-testing. Compare skill descriptions and follow each source repository for setup instructions.

103 skills

Browse skills

GitHub

test-reporting-analytics

proffesor-for-testing

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions...

GitHub

database-testing

proffesor-for-testing

Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database mig...

GitHub

localization-testing

proffesor-for-testing

Internationalization (i18n) and localization (l10n) testing for global products including translations, locale formats, RTL languages, and cultural appropriateness. Use when launching in new markets or building...

GitHub

test-automation-strategy

proffesor-for-testing

Build effective test automation strategy using the test pyramid and practical patterns. Use when planning automation approach, selecting tools, or optimizing test suites.

GitHub

quality-metrics

proffesor-for-testing

Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.

GitHub

mobile-testing

proffesor-for-testing

Comprehensive mobile testing for iOS and Android platforms including gestures, sensors, permissions, device fragmentation, and performance. Use when testing native apps, hybrid apps, or mobile web, ensuring qua...

GitHub

agentic-quality-engineering

proffesor-for-testing

Using AI agents as force multipliers in quality work. Use when designing autonomous testing systems, implementing PACT principles, or scaling quality engineering with intelligent agents. Core skill for all QE a...

GitHub

shift-right-testing

proffesor-for-testing

Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when validating real-world behavior, implementing safe deployments, or ensuring production resilien...

GitHub

chaos-engineering-resilience

proffesor-for-testing

Chaos engineering principles, controlled failure injection, resilience testing, and system recovery validation. Use when testing distributed systems, building confidence in fault tolerance, or validating disast...

GitHub

mutation-testing

proffesor-for-testing

Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate. Use when evaluating test quality, identifying weak tests, or proving t...

GitHub

performance-testing

proffesor-for-testing

Test application performance, scalability, and resilience. Use when planning load testing, stress testing, or optimizing system performance.

GitHub

bug-reporting-excellence

proffesor-for-testing

Write high-quality bug reports that get fixed quickly. Use when reporting bugs, training teams on bug reporting, or establishing bug report standards.

GitHub

visual-testing-advanced

proffesor-for-testing

Advanced visual regression testing with pixel-perfect comparison, AI-powered diff analysis, responsive design validation, and cross-browser visual consistency. Use when detecting UI regressions, validating desi...

GitHub

tdd-london-chicago

proffesor-for-testing

Apply both London and Chicago school TDD approaches. Use when practicing test-driven development, understanding different TDD philosophies, or choosing the right testing style for your context.

GitHub

holistic-testing-with-pact-principles

proffesor-for-testing

Apply the Holistic Testing Model evolved with PACT (Proactive, Autonomous, Collaborative, Targeted) principles. Use when designing comprehensive test strategies for Classical, AI-assisted, Agent based, or Agent...

GitHub

test-data-management

proffesor-for-testing

Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.

GitHub

compliance-testing

proffesor-for-testing

Regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, PCI-DSS and industry-specific regulations. Use when ensuring legal compliance, preparing for audits, or handling sensitive data.

GitHub

context-driven-testing

proffesor-for-testing

Apply context-driven testing principles where practices are chosen based on project context, not universal "best practices". Use when making testing decisions, questioning dogma, or adapting approaches to speci...

GitHub

technical-writing

proffesor-for-testing

Write clear, engaging technical content from real experience. Use when writing blog posts, documentation, tutorials, or technical articles.

GitHub

accessibility-testing

proffesor-for-testing

WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for...

GitHub

test-environment-management

proffesor-for-testing

Test environment provisioning, infrastructure as code for testing, Docker/Kubernetes for test environments, service virtualization, and cost optimization. Use when managing test infrastructure, ensuring environ...

GitHub

refactoring-patterns

proffesor-for-testing

Apply safe refactoring patterns to improve code structure without changing behavior. Use when cleaning up code, reducing technical debt, or improving maintainability.

GitHub

contract-testing

proffesor-for-testing

Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing. Use when testing API contracts, preventing breaking changes, or coordinating...

GitHub

api-testing-patterns

proffesor-for-testing

Apply comprehensive API testing patterns including contract testing, REST/GraphQL testing, and integration testing. Use when testing APIs, microservices, or designing API test strategies.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.