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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.

gakkiismywife0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install gakkiismywife/recruiter-assistant-sz

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Skill instructions

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 requir...

Source information

Source
github
Repository
openclaw/skills
Path
skills/gakkiismywife/recruiter-assistant-sz
Version
—
Commit
f7ce725aa2d5bc26e512f194219e6e324cdd148a
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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.

### 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 requir...

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