Published by daf
Recruitment Specialist - Batch Resume Screening
Batch evidence-based resume screening for recruiter review. Extracts job-relevant evidence, assesses explicit requirements, audits unsupported claims and protected-attribute leakage, and returns traceable recommendations. PDF resumes must be parsed to text before submission.
Updated Aug 7, 2026Version v1
Approved
Inputs and final outputs
Input
What you provide
| Input field | Type | Requirement | Description |
|---|---|---|---|
| Candidate ID | Text | Required | A stable, non-sensitive identifier used to trace the result. |
| Resume Text | Text | Required | Normalized text extracted from one PDF resume. |
| Job Description | Text | Required | Complete role responsibilities, must-have requirements, and preferred qualifications. |
| Additional Screening Requirements | Text | Optional | Optional lawful, job-related constraints or evaluation priorities. |
Output
What you receive
No output details
The creator has not yet provided output content or execution result details for this Skill.
Instructions
- Enter one candidate per row.
- Extract PDF resume text locally before filling resume_text.
- Use a stable candidate identifier instead of unnecessary personal information.
- Provide only lawful, job-related screening requirements.
- All recommendations require human recruiter review.
Examples
- Additional Screening Requirements
- Prioritize evidence of production ownership and measurable delivery outcomes.
- Candidate ID
- candidate-001
- Job Description
- Backend Engineer. Must have: production Python, REST API design, and relational databases. Preferred: Docker, Kubernetes, and cloud deployment experience.
- Resume Text
- Software engineer with five years of Python experience. Built production APIs and reduced processing latency by 35%. Led containerized deployments using Docker and Kubernetes.
Trust and update history
Current versionv1
Downloads0
Calls11
| Date | Version |
|---|---|
| Aug 7, 2026 | v1 |