data-import-patterns

Define and apply validation rules for BPA bulk data imports from CSV and Excel files.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/UNCTAD-eRegistrations/plugin-marketplace --skill data-import-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-import-patterns
Source: https://github.com/UNCTAD-eRegistrations/plugin-marketplace/tree/main/plugins/_drafts/data-import/skills/data-import-patterns
Command: npx skills add https://github.com/UNCTAD-eRegistrations/plugin-marketplace --skill data-import-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Patterns and validation rules for importing bulk data into BPA, covering classifications, document requirements, and costs. It helps teams read CSV or Excel files for BPA import, validate import file structure, handle import errors gracefully, and design data templates for country teams to fill in.

Core Features & Use Cases

Key capabilities include reading strategies for CSV and Excel inputs, robust validation rules to ensure data quality, consistent error reporting, idempotent import commands, and ready-to-use template files for common BPA data types.

Possible use cases include bulk country data onboarding, mass updates to classifications, and automated validation prior to BPA submission.

Quick Start

Use this skill to define and apply bulk data import patterns to your BPA CSV or Excel files.

Frequently Asked Questions about data-import-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate CSV and Excel files before importing bulk data into BPA?

Bulk data import validation applies standardized rules to your CSV or Excel inputs to check file structure, ensure data quality, and generate error reports for country teams before BPA submission.

How do I create Excel data templates for country teams to fill in?

You create Excel data templates for country teams by defining standardized patterns for common BPA data types like classifications and costs, producing ready-to-use files that match required import structures.

What is the best way to handle import errors when doing bulk data uploads?

The best way to handle bulk data upload errors is to run an idempotent import command that validates structure and generates a consistent error report, allowing teams to fix issues and re-upload safely.

Does this bulk data import tool require Python and openpyxl for Excel processing?

Yes, this bulk data import tool requires Python 3 and uses the openpyxl library specifically for reading and processing Excel file inputs during BPA validation.

Can I use these validation rules for mass updates to BPA classifications?

Yes, you can use these validation rules for mass updates to BPA classifications by applying the standardized import patterns to your updated CSV or Excel files before executing the idempotent import command.