What problem does it solve? Rendering a candidate's normalized resume content through a reusable resume Template often loses material content, flattens employer/client structure, or invents unsupported claims. This Skill maps a private Resume Content Model into a verified Template's semantic slot manifest while preserving evidence traceability, chronology, and candidate-specific structure. ## Core Features & Use Cases - Semantic slot mapping: Match each content node to a legitimate Template slot by documented purpose, classifying every material source as mapped, omitted_with_reason, blocked, unmapped, or not_applicable. - Structural and evidence fidelity: Preserve employer-of-record versus client hierarchy, separate employment periods, dates, metrics, and an active Candidate Baseline Resume's protected career spine. - Layered validation and loss visibility: Run candidate/model conformance, Template slot conformance, evidence integrity, and isolation checks, surfacing Template mismatches instead of silently dropping content. - Use Case: When switching a candidate's approved resume content to a materially different layout from the template-library, produce a mapping table showing exactly where each achievement, role, and certification landed and why anything was omitted. ## Quick Start Map my current Resume Content Model into the verified resume Template's slot manifest and show me the material mapping table with any unmapped or blocked content.
