What problem does it solve? Creating and tailoring a professional CV for each job application is repetitive and error-prone: base templates drift, company-specific versions get committed by accident, and formatting issues only appear after compiling. This Skill manages a repo-local LaTeX career workspace with a durable source of truth and disposable per-company tailored packets, then compiles and visually reviews the PDF before submission. ## Core Features & Use Cases - Structured career workspace: Maintains durable career facts (profile.md, tailoring-guide.md, base LaTeX templates) under a tracked career root, while per-company tailored packets live in a gitignored tmp/ directory and are cleaned up after the application is sent. - CLI-driven workflow: The bundled cv.py script initializes tailored packets, compiles LaTeX to PDF with tectonic, renders pages to PNG for visual review, and cleans disposable artifacts, all with JSON output. - Tailoring and audit rules: Enforces summary-first tailoring, competitor-awareness checks, no invented content, and a pre-submission audit (wrong company names, em-dashes, AI-smell words, page count, sign-off). - Use Case: You are applying to five companies. For each one, run cv.py init --company <slug>, tailor the summary and bullets against the job description, build and review the rendered PDF pages, run the cross-pack audit, then clean up after submitting. ## Quick Start Ask the agent to set up the repo-local CV structure and tailor your resume for a specific company, for example: "Use the cv-creator skill to tailor my resume for the Synthesia role, compile it, and review the PDF."
