✨ Add Optional Role Fit Scoring to Hiring Pipeline

📝 Description

Enhance the hiring pipeline by introducing an optional Role Fit score that evaluates how closely a candidate matches a given role description. The score should provide transparent, evidence-backed insights to assist in candidate comparison.

🎯 Motivation

• Generic resume scoring is not always sufficient for role-specific hiring decisions.
• Role Fit scoring enables recruiters to compare candidates against a concrete job description, providing actionable insights.

🔧 Proposed Changes

• Add role_fit: CategoryScore to Scores in models.py.
• Create a new template role_fit.jinja (0–20 rubric, JSON output).
• Update template_manager.py to load the new template.
• Update evaluator.py to accept role_description and attach Role Fit results to scores.
• Extend score.py CLI to accept optional role file:

  python score.py <resume.pdf> <role.txt>

• Update transform.py to export role_fit_score and role_fit_max to CSV.
• Update README.md with usage instructions.

✅ Acceptance Criteria

• CLI computes Role Fit only if role file is provided.
• Role Fit score and evidence appear in console output.
• CSV exports two new columns: role_fit_score and role_fit_max.
• No regressions in existing scoring categories.
• Fully backward compatible when no role description is provided.