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faostat-export-dataset

Export FAOSTAT data as .xlsx, .csv, and data-dictionary .md files.

6|1|Updated Apr 14, 2026
Search Tags:#data analysis#data export#tabular data#FAOSTAT#FAO data
One-click install
npx skills add https://github.com/berba-q/faostat-skills --skill faostat-export-dataset
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: faostat-export-dataset
Source: https://github.com/berba-q/faostat-skills/tree/main/skills/export-dataset
Command: npx skills add https://github.com/berba-q/faostat-skills --skill faostat-export-dataset

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a streamlined way to export clean, documented tabular data from the FAOSTAT database, making it ideal for users who require raw numbers without additional narrative or visualizations.

Core Features & Use Cases

  • Tabular Data Export: Offers a documented tabular export of FAOSTAT data, delivered as a bundle containing a multi-sheet .xlsx file, a tidy-long .csv file, and a data-dictionary .md file.
  • Data Provenance: Ensures every value in the export can be traced back to the original FAOSTAT API call.
  • Use Case: Ideal for data analysts or researchers who need to work with the raw data directly for further analysis or presentation.

Quick Start

To export data from FAOSTAT, use the skill with the command: 'export FAOSTAT data for [indicator] between [year range]'.

Frequently Asked Questions about faostat-export-dataset

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

FAQPage Schema
How do I export FAOSTAT data for analysis?▼

You can export FAOSTAT data by specifying an indicator and year range. The skill generates a bundle containing a multi-sheet .xlsx file, a tidy-long .csv file, and a data-dictionary .md file for analysis.

What file formats are included in the FAOSTAT tabular data export?▼

The FAOSTAT tabular data export includes a multi-sheet .xlsx file, a tidy-long .csv file, and a markdown data-dictionary .md file. This bundle provides raw numbers suitable for data analysis workflows.

Do I need Python packages to export FAOSTAT data?▼

Yes, you need the Python packages openpyxl and pandas installed to export FAOSTAT data. These dependencies handle the generation of the .xlsx and .csv files in the output bundle.

Can I trace exported FAOSTAT values back to the original API call?▼

Yes, exported FAOSTAT values ensure data provenance, meaning every value can be traced back to the original FAOSTAT API call. This traceability is maintained across the .xlsx and .csv output files.

What's the best way to get raw FAO data without visualizations?▼

Using this FAOSTAT export skill provides a documented tabular export of raw FAO data without narrative or visualizations. It delivers clean data directly for researchers who need to work with the numbers.

How does the data dictionary work with the FAOSTAT export?▼

The data dictionary is delivered as a .md file within the FAOSTAT export bundle. It documents the tabular data contained in the accompanying .xlsx and .csv files, ensuring the exported data is clean and documented.

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