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Mode: resume-ops — High-Quality Tailoring via External API

Use this mode when the user wants a better-tailored resume. This mode leverages the specialized resume-ops service.

The AI agent is responsible for the entire technical lifecycle: starting the service, ensuring data compatibility, and executing the tailoring. The user should only need to provide the JD.

Pipeline

  1. Prepare Job Description (JD):

    • Identify the JD text or URL.
    • If it's a URL, use scan.mjs or relevant tools to extract the text.

  2. Technical Setup (Invisible to User):

    • Cloning & Service: Run node start-resume-ops.mjs. This script will:
      • Automatically clone resume-ops from GitLab if missing.
      • Automatically configure the .env for local execution.
      • Start the service using uv on port 8000.
    • Docker/Podman: This integration runs resume-ops directly via Python/uv for simplicity. Docker or Podman are NOT required for this setup, making it easy for most users.
    • JSON Resume: Check for resume-ops/.local/master-resume.json. If missing, generate it immediately from cv.md and config/profile.yml.

  3. Execute Tailoring:

    • Determine the output PDF path: output/cv-{candidate}-{company}-{YYYY-MM-DD}.pdf.
    • Use config/profile.yml to get {candidate} (normalized to kebab-case) and {company}.
    • Run the helper script: 
      node resume-ops.mjs --resume resume-ops/.local/master-resume.json --jd "{JD_TEXT}" --output output/cv-{candidate}-{company}-{YYYY-MM-DD}.pdf
    • If config/profile.yml has a cv.theme value, pass it via --theme.

  4. Update Tracker:

    • If this is a new application, create a TSV entry in batch/tracker-additions/ and run node merge-tracker.mjs.
    • If it's an existing application in data/applications.md, update the PDF column from ❌ to ✅.

JSON Resume Mapping Guide (if generating)

JSON Field Source in Career-Ops
basics config/profile.yml (name, email, phone, website, location)
work cv.md -> Experience section. Map each role to a work entry.
education cv.md -> Education section.
skills cv.md -> Technical Skills section.
projects cv.md -> Projects section.

Why use this mode?

  • Better Quality: Uses a specialized multi-step LLM pipeline for tailoring.
  • ATS-Optimized: Generates clean PDFs via the resumed engine.
  • Standardized: Produces a resume.json that can be used with other JSON Resume tools.

Safety & Ethics

  • NEVER invent experience or skills.
  • Only reformulate existing content using JD keywords.