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:
    1. 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).
    2. Detailed Analysis: Explicitly lists at least 3-4 hard technical strengths and significant weaknesses/gaps.
    3. Separate Reporting: Each candidate evaluation must be saved/written to its own document.
    4. Salary Benchmark: Compares the candidate's expected salary against Shenzhen market rates (Boss Zhipin 2026).
    5. HR Notification: High-scoring candidates (>= threshold) should be summarized and sent to HR via the message tool.

2. AI Proficiency Evaluation

Mandatory check for AI tool usage (Cursor, Copilot, LLM APIs). Lack of AI usage is considered a significant productivity gap.

Installs
1
Repository
openclaw/skills
GitHub Stars
4.5K
First Seen
Mar 4, 2026
recruiter-assistant — openclaw/skills