What problem does it solve? After a requirement is developed, teams often lack a structured record of what was actually implemented, which commits relate to it, and where the implementation deviated from the design. This Skill automates that archival step so the requirement-to-delivery chain stays traceable. ## Core Features & Use Cases - Automated Data Collection: Extracts requirement metadata via the req CLI, pulls related commits from git history, and reads design documents for comparison. - Deviation Analysis: Compares design documents against actual implementation and classifies deviations (scheme, scope, interface, data, omissions, extras) with severity levels. - Requirement Management Integration: Writes the report to the requirement directory and updates meta.json status to completed via req update, including commit association. - Use Case: After finishing development of REQ-003, ask the AI to generate the implementation report; it collects commits, records deviations from the design doc, writes report.md, and marks the requirement as completed. ## Quick Start Generate the implementation report for requirement REQ-003 based on its git commits and design documents.
