Edge Case Discovery Skill: Find the awkward states a happy-path requirement leaves behind
Edge Case Discovery field guide: explore unusual data, timing, identity, state, environment, and recovery conditions with evidence.
Quality Analyst, Not Quality Assurance.
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.
A bilingual guide to defining test scope, depth, dependencies, stop conditions, expansion triggers, and residual risk before execution.
Business Rule Extraction field guide: identify actors, conditions, decisions, exceptions, states, and evidence from business material.
A bilingual guide to mapping requirements, design, code, tests, defects, and validation evidence without confusing links with coverage.
Break an Agent Skill into SKILL.md, metadata, references, progressive disclosure, and the runtime chain that turns a package into behavior.
A bilingual guide to detecting mutually exclusive requirement rules while preserving sources, conditions, applicability, and Human precedence decisions.
A bilingual guide to comparing requirement artifacts for terminology, identifiers, formats, states, rules, behavior, scope, and evidence status.
Why a valid SKILL.md, a successful invocation, and plausible output are still insufficient evidence of Agent Skill quality.