cv-scorer

# CV Scorer — Candidate CV Evaluation This skill evaluates how well a candidate's CV matches a specific Job Description (JD), producing a structured score out of 100. ## Workflow ### Step 1: Identify Inputs Two inputs are required: - **Job Description (JD)**: The job posting with requirements, qualifications, and responsibilities - **CV(s)**: One or more candidate CVs (markdown, text, or PDF) If the user hasn't provided a JD, ask for it. If the JD is already available in context (e.g., a file on Drive or in the project directory), read it directly. **Reading PDF files:** Use the `/pdf` skill to extract text from PDF CVs — it handles multi-page documents and formatted layouts reliably. ### Step 2: Analyze the JD Before scoring, extract from the JD: - Must-have skills vs nice-to-have skills - Experience requirements (years, seniority level, domain) - Education requirements - Special requirements (languages, certifications, travel, etc.) ### Step 3: Score Against Rubric Score each CV across 5 criteria using `references/scoring-rubric.md`: | Criterion | Weight | Max Points | |-----------|--------|------------| | JD Matching | ×3 | 30 | | Work Experience | ×2.5 | 25 | | Project & Impact | ×1.5 | 15 | | Education | ×1.5 | 15 | | CV Quality | ×1.5 | 15 | | **Total** | | **100** | ### Step 4: Output Output JSON for each CV using the format in `references/output-format.md`. **Recommendation thresholds:** - **Recommend** (≥ 70): Invite for interview - **Maybe** (50–69): C...