Test Maintenance Cost Analysis Skill: Make Repair Effort and Flaky Cost Visible
Estimate test maintenance costs from change frequency, repair effort, flaky reruns, ownership, maintainability, and evidence-backed confidence.
#AI Testing
Everyday AI Coding for Testers: Skills, Guardrails, and a Human-Reviewed Workflow
A practical guide to focused AI Skills, plugins, MCP, staged QA automation, evaluation, ROI, and organizational governance.
Designing Skill Evals: From Success Criteria to Evidence
Turn Skill success criteria into executable Eval Cases, choose a suitable judge, and preserve run metadata, traces, artifacts, and limitations.
Mock Quality Review Skill: Keep test doubles useful without making the system look healthier than it is
Mock Quality Review field guide: inspect contract fidelity, realism, failure modes, drift, state, and ownership of test doubles.
Test Suite Health Analysis Skill: Diagnose Flakiness, Duplication, and Quarantine Debt
Diagnose test-suite health from run history, duration, flakiness, duplication, isolation, quarantine, maintenance, and defect evidence.
Test Code Review Skill: Find Assertion, Isolation, and Determinism Risks
A bilingual guide to reviewing test code, fixtures, assertions, dependency injection, run history, and CI configuration for traceable test-engineering risks.
Test Gap Analysis Skill: Turn Unprotected Obligations into Actionable TG Findings
A bilingual guide to identifying missing or weak test obligations across requirements, risks, changes, defects, and test evidence without claiming coverage.
The Mindsets Quality Model: 12 Perspectives for Finding Blind Spots in AI-Assisted Testing
Explore Ady Stokes' 12 testing mindsets, a four-round saved-cart exercise, and ways to use AI coaching, evidence, and evaluations to uncover quality risks.
Metamorphic Testing Skill: Test transformations when a single expected answer is not enough
Metamorphic Testing field guide: define transformations, expected relations, invariants, randomized inputs, and evidence.
Mutation Testing Analysis Skill: Learn which tests notice a meaningful rule change
Mutation Testing Analysis field guide: interpret mutants, surviving changes, equivalent mutants, test oracles, and risk.
Test Data Requirement Analysis Skill: Specify the Data a Test Can Safely Consume
Specify test-data needs by mapping entities, fields, relationships, states, roles, privacy, sources, lifecycle, setup, cleanup, and environment constraints.
Test Effectiveness Analysis Skill: Connect Test Signals to Risk and Defects
Evaluate test effectiveness by checking produced signals, risk coverage, missed-detection limits, false signals, and validation plans.