Streamline Your Operations with These Hong Kong HR Automation Tools
AI

Streamline Your Operations with These Hong Kong HR Automation Tools

By Administrator

For small and medium-sized enterprises (SMEs) in Hong Kong, managing human resources is often burdened by repetitive, manual data entry and complex compliance requirements. If you are looking to optimize your administrative overhead, the HKHR-Skills repository offers a powerful solution. This repository is an Agent Skill project designed for use with AI agents (like Cursor or Claude Code), allowing you to automate core HR workflows via a local, secure SQLite database.

Why Choose This HR Toolkit?

Unlike bloated, expensive enterprise software, this toolkit is lightweight and developer-friendly. It provides a modular approach to HR management, ensuring your sensitive data remains local while your AI assistant handles the heavy lifting.

Core Modules for HK HR Management

  • Employee Management: Maintain a centralized SQLite-backed master list of employee records.
  • Lifecycle Operations: Automate onboarding and offboarding checklists.
  • Employment Compliance: Track contracts, work eligibility, and legal documents.
  • Leave Administration: Manage leave applications and compensation workflows.
  • IR56B Readiness: Simplify tax filing with readiness checks and Excel exports.
  • ADW Calculation: Simplify Average Daily Wage payouts from varying Excel formats.

Getting Started

  1. Clone the Repository: Download the project files locally.
  2. Environment Setup: Install dependencies via pip install -r requirements.txt.
  3. Database Initialization: Run python scripts/init_employee.py.

Practical AI-Driven Workflows

Because this project is built for AI, you can simply ask your assistant to: "Calculate the monthly ADW payout" or "Run an IR56B audit and identify missing data." It provides machine-readable JSON outputs, making it the perfect tool for developers and HR ops professionals alike.

Security Notice

Always prioritize security. Keep your hrcore.db file local and ensure you are following your company's data privacy policies when utilizing AI for data processing.