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resume-screener

Screen resumes against a job description. Scores candidates on qualification alignment, experience match, and fit. Use when HR uploads resumes for a job opening.

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Datos de origen

Repositorio
redhat-et/docsclaw
Última actividad en el origen
14 de abril de 2026 a las 02:42
Idioma detectado de SKILL.md
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
resume-screener
description
Screen resumes against a job description. Scores candidates on qualification alignment, experience match, and fit. Use when HR uploads resumes for a job opening.
license
Apache-2.0
metadata
{"author":"Red Hat ET","category":"human-resources"}
# Resume screener skill When asked to screen or grade resumes against a job description: 1. Use `read_file` to read the job description document first 2. Extract the key requirements: - **Required qualifications** (must-have skills, certifications) - **Preferred experience** (years, domains, technologies) - **Cultural fit indicators** (leadership style, collaboration) 3. For each resume: - Use `read_file` to read the resume - Score on a 1-10 scale for each category: - **Qualification alignment**: how well required skills match - **Experience match**: relevance and depth of experience - **Fit**: alignment with role expectations and culture - Compute a weighted overall score (qualifications 40%, experience 35%, fit 25%) - Write a one-paragraph justification 4. Produce the final output as a ranked table: | Rank | Candidate | Overall | Quals | Exp | Fit | Justification | |------|-----------|---------|-------|-----|-----|---------------| 5. If there are more than 20 candidates, also provide a short list of the top 20 with a recommendation paragraph for each 6. Use `write_file` to save the results if requested ## Important guidelines - Never disqualify candidates based on protected characteristics - Flag gaps or concerns rather than making binary accept/reject decisions — the recruiter makes the final call - If a resume is in a format you cannot parse, note it as "unreadable" with the filename and move to the next - When qualifications are ambiguous (e.g., "5+ years" vs "4 years 11 months"), give the candidate the benefit of the doubt
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