edu-xlsx

Identify, validate and extract Excel education outlines to Markdown using OpenPyXL and Pandas.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/glfruit/gorin-skills --skill edu-xlsx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: edu-xlsx
Source: https://github.com/glfruit/gorin-skills/tree/main/openclaw/edu-xlsx
Command: npx skills add https://github.com/glfruit/gorin-skills --skill edu-xlsx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Edu outlines are often scattered across Excel templates with inconsistent structures, making validation and extraction tedious. This Skill identifies textbook, course, and training outlines, reads and preserves formatting, validates required columns, and extracts structured sections into Markdown for downstream documentation.

Core Features & Use Cases

  • Identify template type (textbook, course, training) from Excel headers.
  • Read and write outlines with openpyxl, preserving merged cells, column widths, and formatting.
  • Validate required columns, detect structural gaps, and output actionable reports.
  • Extract sections into Markdown with hierarchical context for Phase 1 deliverables across curricula.

Quick Start

Place an outline Excel file and run edu-xlsx to identify, validate, and extract sections into Markdown.

Frequently Asked Questions about edu-xlsx

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

FAQPage Schema
How do I extract Excel outline data into Markdown?

To extract Excel outline data into Markdown, you can use automated tools that read education templates, validate required columns, and output structured hierarchical sections. This preserves formatting and prepares curricula for downstream documentation.

Can openpyxl preserve merged cells and formatting when reading education outlines?

Yes, openpyxl can preserve merged cells, column widths, and formatting when reading education outlines. It identifies template types from Excel headers and maintains structural consistency for curriculum design and textbook extraction.

What is the best way to validate required columns in Excel curriculum templates?

The best way to validate required columns in Excel curriculum templates is using automated validation scripts that detect structural gaps, check headers for textbook or course types, and generate actionable reports for missing data.

How do I identify template types from Excel headers for training outlines?

You can identify template types from Excel headers for training outlines by using extraction scripts that analyze header rows to distinguish between textbook, course, and training templates, ensuring accurate validation and content extraction.

Does Pandas work with openpyxl for extracting structured sections from Excel files?

Yes, Pandas works with openpyxl for extracting structured sections from Excel files. Together they read education outlines, preserve formatting, validate structures, and convert template content into Markdown-ready hierarchical outputs.

Why does my Excel education outline extraction fail with inconsistent structures?

Excel education outline extraction often fails with inconsistent structures due to missing required columns or unrecognized template headers. Automated validation tools detect these structural gaps and output actionable reports to fix formatting issues.