Recruitment Manager

Specific Pain Points in Recruitment

For hiring teams or engineers involved in hiring, common pain points include: disorganized candidate resumes in multiple formats (Word, PDF, images) that are time-consuming to parse; subjective matching analysis against a Job Description (JD) without structured dimensions; the effort needed to prepare targeted interview questions; a lack of a unified, professional format for candidate evaluation reports; and time-consuming drafting of professional communication emails (interview invitations, offer letters).

How the Skill Works: Core Capabilities & Workflow

This skill automates and structures this workflow through executable Python scripts. Its key capabilities are:

1. Intelligent Resume Parsing:
   scripts/resume_parser.py parses candidate resumes. It employs a layered strategy for PDFs, prioritizing pypdfium2.get_textpage() to extract hidden text layers from scanned documents (a v2.0 optimization), with fallbacks to pdfplumber and PyPDF2, and OCR as a last resort. The output automatically extracts structured fields like contact info, education, work experience, skills, and projects.

2. Structured Job-Candidate Matching:
   Based on your provided JD, it scores matches (0-100) across multiple dimensions like skill alignment, experience level, and educational background. Output includes strength analysis, gap analysis, and risk indicators.

3. Interview Question Generation & Reporting:

   • Generates structured interview questions (with question content, evaluation criteria, and follow-up directions) covering technical, behavioral (STAR), and situational types.
   • Consolidates all analyses into a candidate evaluation report. Reports are generated in HTML, PDF, and Word formats. The PDF report uses a professional pipeline from scripts/pdf_pipeline/, with automatic detection and application of system Chinese fonts (e.g., SimHei) for high-quality typography.

4. Automated Recruitment Communication:
   scripts/email_sender.py generates and sends various recruitment emails (interview invitations, follow-ups, offers, rejections). v2.1 added a "representative mode" (where contact ≠ candidate) and utility functions like build_smtp_config(). It supports SMTP configurations for services like 163, QQ, and Tencent Exmail for one-click sending.

Scope & Important Considerations

• Resume parsing accuracy is highly dependent on the quality of the source file; image-based resumes require OCR, which may have errors.
• The generated evaluation reports, matching analyses, and interview questions are designed as decision-support aids and structured inputs, not replacements for a recruiter's professional judgment.
• For the email function, SMTP details must be configured correctly. For personal mailboxes like 163 or QQ, you must use an app-specific authorization code, not the login password.
• When handling candidate personal data, ensure compliance with relevant data protection regulations (e.g., GDPR, PIPL).
• Technical dependencies such as pypdfium2 and reportlab must be installed in the execution environment.