recruiter-assistant
Installation
SKILL.md
Recruiter Assistant 🦞
This skill implements a high-bar recruitment workflow for technical hiring, specifically optimized for the Shenzhen market.
Workflows
1. Rigorous Resume Screening
Evaluate a candidate with a critical lens.
- Single:
node scripts/screen_resume.js <path_to_resume> --lang <language> --yoe <years_of_experience> - Batch:
node scripts/batch_screen.js <folder_path> --threshold <score> --lang <language> --yoe <years_of_experience> - Output Requirements:
- Strict Scoring: Adheres to the 0-100 rubric in
references/hiring-criteria.md. High standards for "Senior" roles (must show architectural impact and expert AI usage). - Detailed Analysis: Explicitly lists at least 3-4 hard technical strengths and significant weaknesses/gaps.
- Separate Reporting: Each candidate evaluation must be saved/written to its own document.
- Salary Benchmark: Compares the candidate's expected salary against Shenzhen market rates (Boss Zhipin 2026).
- HR Notification: High-scoring candidates (>= threshold) should be summarized and sent to HR via the
messagetool.
- Strict Scoring: Adheres to the 0-100 rubric in
2. AI Proficiency Evaluation
Mandatory check for AI tool usage (Cursor, Copilot, LLM APIs). Lack of AI usage is considered a significant productivity gap.