What problem does it solve? Applying to many jobs requires deciding which resume version fits each posting, and manually comparing variants or rewriting resumes for every application is slow and inconsistent. ## Core Features & Use Cases - Base Resume Selection: Scores existing resume bases against the job description by role family, keyword coverage, and recency to pick the best starting point. - Reuse vs Create Decision: Computes a 0-100 reuse score over existing variants and reuses a good match instead of creating near-duplicate resumes, with a hard cap at 15 variants per base. - Server-Validated Tailoring: Creates new variants via the JobPilot API with emphasized tech, bullet rewrites, and optional restructuring, with server-side checks that reject fabricated content. - Use Case: Given a LinkedIn job URL for a senior backend role, the skill scores your resume variants, reuses one scoring 72/100, and returns its PDF URL for the application. ## Quick Start Run the tailor-resume skill with a job posting URL to pick or create the best-fitting resume variant for that job.