由 daf 发布
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.
更新于 2026年8月7日版本 v1
审核通过
输入与最终输出
输入
你需要提供
| 输入字段 | 类型 | 要求 | 说明 |
|---|---|---|---|
| Candidate ID | 文本 | 必填 | A stable, non-sensitive identifier used to trace the result. |
| Resume Text | 文本 | 必填 | Normalized text extracted from one PDF resume. |
| Job Description | 文本 | 必填 | Complete role responsibilities, must-have requirements, and preferred qualifications. |
| Additional Screening Requirements | 文本 | 选填 | Optional lawful, job-related constraints or evaluation priorities. |
输出
你将获得
暂无输出说明
创作者尚未补充此 Skill 的输出内容与执行结果说明。
使用说明
- 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.
示例
- 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.
可信信息与更新记录
当前版本v1
下载量0
调用量11
| 日期 | 版本 |
|---|---|
| 2026年8月7日 | v1 |