spec-observation

Identifying specification ambiguities early surfaces implicit assumptions and prevents misinterpretation during implementation. This Skill analyzes feature requests and requirements to extract unclear aspects, formalize acceptance criteria in Given/When/Then format, and generate concrete testable scenarios that clarify intent before code review.

Formalizing acceptance criteria from vague requirements involves capturing assumptions, structuring criteria in Given/When/Then format, and producing an assumptions-log artifact. This approach creates explicit, testable specifications that prevent scope creep and align development, QA, and stakeholders on expected behavior.

Yes. This Skill extracts specification ambiguities and generates test code templates for acceptance and regression checks. The templates translate formalized acceptance criteria into executable test scenarios, enabling QA to validate implementation against concrete, documented requirements.

Surface specification ambiguities during new feature design, requirements reviews, and when specs are unclear or evolving. Identifying issues at these stages prevents rework, reduces PR cycle time, and ensures acceptance criteria are testable before implementation begins.

Extracting implicit assumptions reveals undecided or unclear aspects in specifications. This Skill documents these assumptions in a log, formalizes edge cases, and produces concrete acceptance criteria. This practice prevents conflicting interpretations and creates a reference for stakeholder alignment.

Vague requirements lack clarity on expected behavior and edge cases; well-formed acceptance criteria use Given/When/Then structure to specify testable outcomes. This Skill transforms the former into the latter, ensuring QA has concrete scenarios for validation and developers have unambiguous implementation targets.