What problem does it solve? It turns approved software designs into implemented code and unit test results without letting the AI guess missing design intent, hide unresolved items, or close quality findings it does not own. ## Core Features & Use Cases - Scoped Implementation: Executes the manufacturing sequence CAP-MFG-001 (implementation) and CAP-MFG-002 (unit test execution) only against traced, approved change targets. - Assumption Gap Handling: Classifies implementation gaps as clarification_needed, evidence_missing, scope_conflict, local_choice_allowed, or basis_refuted, and escalates tradeoffs instead of deciding locally. - Quality Feedback Returns: Fixes concrete in-scope findings with evidence, escalates conflicts, and hands dispositions back to the quality source without closing its findings. - Use Case: Given an approved design, test plan, and coding rules for a C# change, run this Skill to produce the code diff, unit test evidence, unresolved lists, and a QA-ready handoff package. ## Quick Start Ask the AI to run the implementation_flow Skill through xrefkit to implement the approved design changes and execute the planned unit tests for the named target files.
