Pairwise Testing Skill: Cover the interactions most likely to expose a defect
Pairwise Testing field guide: select factor values, constraints, pair coverage, risk weighting, and uncovered interactions.
Quality Analyst, Not Quality Assurance.
Pairwise Testing field guide: select factor values, constraints, pair coverage, risk weighting, and uncovered interactions.
Decision Table Testing field guide: model conditions, actions, impossible combinations, priorities, and expected outcomes.
A bilingual guide to deriving traceable state-transition test candidates from states, events, guards, actions, and persistence evidence.
Test Skill routing from discovery to trigger and neighboring capability selection with positive, negative, boundary, and paraphrase cases.
Boundary Value Testing field guide: select lower, upper, adjacent, invalid, and transition values from explicit rules.
Equivalence Partitioning field guide: divide valid, invalid, empty, boundary, and conditional input classes with traceable representatives.
Use L1 through L4 test depth and E1 through E4 evidence levels to choose how far an Agent Skill should be tested.
Edge Case Discovery field guide: explore unusual data, timing, identity, state, environment, and recovery conditions with evidence.
Negative Scenario Discovery field guide: identify rejection, interruption, misuse, invalid state, dependency, and recovery scenarios.
AI can automate routine QA; people still clarify requirements, find risks, validate evidence, and guide teams. Lewis Prescott’s talk revisits ATDD and BDD.
Use SQEM’s seven quality domains and eight principles to connect Agent Skill quality claims to evidence without hiding everything behind one score.
A bilingual guide to turning supplied quality risks, failure modes, and delivery constraints into prioritized test objectives, methods, depth, and trade-offs.