Can I customize the scoring weights for different roles?

Yes, while it has default weights for skills, experience, and education, these can be adjusted to match the specific priorities of any job description.

Does this skill integrate with ATS platforms?

It can be integrated with popular ATS systems like Greenhouse or Lever through integration points like Rube or Composio.

Can this skill handle resumes in different file formats?

Yes, it can parse and normalize candidate data from PDF, DOCX, and Google Docs formats stored in Google Drive.

How does the blind review protocol work?

The skill extracts PII into a separate identity envelope, allowing the AI to score candidates based solely on their qualifications to ensure a bias-free evaluation.

What happens if a CV is difficult to parse?

The skill is designed to flag unparseable sections or inconsistencies as informational markers rather than guessing content, ensuring data integrity.

CV Validation & Candidate Screening

Name: CV Validation & Candidate Screening
Author: diegouis

bydiegouis

•

Productivity & Workflow

Automates resume parsing, structured data extraction, and weighted candidate scoring to streamline the recruitment screening process.

This skill enhances the hiring workflow by automatically parsing resumes from Google Drive, extracting structured candidate data, and scoring applicants against specific job description rubrics. It employs a sophisticated blind review protocol that strips PII to ensure bias-free screening, producing ranked shortlists and detailed comparison matrices. Ideal for high-volume recruitment, it provides auditable rationales for scores, detects potential red flags, and integrates with existing ATS and communication tools to help teams identify top talent efficiently.

Key Features

01Automated CV parsing from Google Drive (PDF, DOCX, and Google Docs)

02Weighted scoring rubrics for technical skills, experience, and education fit

03Batch processing support for screening 10-200 candidates in a single session

042 GitHub stars

05Blind review protocol to ensure bias-free candidate screening by anonymizing PII

06Comprehensive reporting including comparison matrices and tiered shortlists

Use Cases

01Creating anonymized candidate shortlists for bias-free hiring manager reviews

02Objective technical screening for specialized roles using weighted criteria

03Processing and ranking bulk applications for high-volume job postings

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add diegouis/provectus-marketplace cv-validation

For use in Claude.ai and ChatGPT

Download Skill