How do I install the Recruiter Assistant skill?

Run npx skillmds@latest add modbender/recruiter-assistant in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Recruiter Assistant safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Recruiter Assistant?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Recruiter Assistant free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Recruiter Assistant?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Recruiter Assistant by modbender — Agent Skill

Name: Recruiter Assistant
Rating: 4.2 (5 reviews)
Author: modbender

Recruiter Assistant

A professional recruitment workflow assistant. Evaluates resumes against dynamic requirements and AI proficiency, provides critical Pros/Cons analysis, and performs Shenzhen-specific market salary benchmarks (Boss Zhipin 2026 standards). Use for: (1) Rigorous candidate screening, (2) Critical technical evaluation, (3) Market-aligned salary assessment.

modbender Updated Sep 9, 2026 12 repo stars

File contents

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.

3. Interview Preparation & Summary

Questions: node scripts/generate_questions.js <input_json> (Focuses on the identified "Cons").
Summarization: node scripts/summarize_interview.js <notes_file> (Uses the template in assets/report-template.md).

Market Benchmark (Shenzhen 2026)

Refer to references/hiring-criteria.md for the latest salary data and scoring rubrics.

Core Principles

Critical Lens: Do not give high scores easily. High seniority requires evidence of architectural impact.
Data-Driven: Benchmarks must align with the current Shenzhen tech market.
AI-Forward: Efficiency through AI is a core requirement for a modern senior engineer.

---name: recruiter-assistantdescription: A professional recruitment workflow assistant. Evaluates resumes against dynamic requirements and AI proficiency, provides critical Pros/Cons analysis, and performs Shenzhen-specific market salary benchmarks (Boss Zhipin 2026 standards). Use for: (1) Rigorous candidate screening, (2) Critical technical evaluation, (3) Market-aligned salary assessment.--- # 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. ### 3. Interview Preparation & Summary - **Questions**: `node scripts/generate_questions.js <input_json>` (Focuses on the identified "Cons"). - **Summarization**: `node scripts/summarize_interview.js <notes_file>` (Uses the template in `assets/report-template.md`). ## Market Benchmark (Shenzhen 2026) Refer to [references/hiring-criteria.md](references/hiring-criteria.md) for the latest salary data and scoring rubrics. ## Core Principles - **Critical Lens**: Do not give high scores easily. High seniority requires evidence of architectural impact. - **Data-Driven**: Benchmarks must align with the current Shenzhen tech market. - **AI-Forward**: Efficiency through AI is a core requirement for a modern senior engineer.

Frequently asked questions