Recruiter Assistant OpenClaw Plugin & Skill | ClawHub
Looking to integrate Recruiter Assistant into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate productivity & tasks tasks instantly, without having to write custom tools from scratch.
What this skill does
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.
Install
openclaw skills install @gakkiismywife/recruiter-assistantnpx clawhub@latest install recruiter-assistantFull SKILL.md
Open original| name | description |
|---|---|
| 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. |
SKILL.md content below is scrollable.
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.
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 inassets/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.