- JD parser now extracts MLOps and domain-specific tools (KFP, Ray,
  SkyPilot, DCGM, MLflow, DVC, Kubeflow, Seldon, BentoML, Triton,
  Argo, Vertex AI, SageMaker, Prefect, Dagster, vLLM, and ~30 more)
- _extractBulletsAndSentences now captures plain-text requirement lines
  and splits on '/' separators, fixing missed sub-requirements like
  'deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot)'
- Added suggestDomainSkills() to CVTailor with static coverage for 7
  domains (MLOps, data engineering, DevOps, ML scientist, frontend,
  backend, cloud) used as a fallback
- /api/cv/analyze fires a parallel LLM call to dynamically suggest
  domain-common tools for any job title not covered by the static map;
  falls back to static suggestions on timeout or failure
- Popup shows a new 'Also common in this domain' section with checkboxes;
  confirmed domain skills are included in the tailor request

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>