faostat-analytical-brief

Generate FAOSTAT analytical briefs with Python data extraction and visualizations.

6|1|Updated Apr 14, 2026

Search Tags:#data visualization #faostat #analytical brief #agriculture statistics #policy brief

Ready to run

npx skills add https://github.com/berba-q/faostat-skills --skill faostat-analytical-brief

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: faostat-analytical-brief
Source: https://github.com/berba-q/faostat-skills/tree/main/skills/analytical-brief
Command: npx skills add https://github.com/berba-q/faostat-skills --skill faostat-analytical-brief

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires faostat_get_data, faostat_search_codes, faostat_list_domains, faostat_get_metadata, plotly, pandas, kaleido, reportlab, openpyxl, faostat-viz, faostat-map, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables the creation of FAOSTAT-style analytical briefs, providing quick, comprehensive overviews of food and agriculture statistics.

Core Features & Use Cases

Analytical Brief Creation: Produce detailed, multi-page briefs in the FAOSTAT visual style.
Customizable Scope: Create briefs focusing on global, regional, or specific country statistics.
Data-Driven Insights: Incorporate various data visualizations, including maps and tables, to convey insights effectively.
Use Case: Generate a country food security profile with highlights, background, global and regional data, and a comprehensive data appendix.

Quick Start

Run the skill with: /faostat-analytical-brief -t country -d Kenya -s 2010,2022

Frequently Asked Questions about faostat-analytical-brief

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

FAQPage Schema

How do I generate an agriculture statistics brief using FAOSTAT data?▼

You generate an analytical brief by running the skill with parameters for scope, domain, and timeframe, such as specifying country, target nation, and years. The skill extracts and processes FAOSTAT data into a multi-page document with visualizations and appendices.

Can I create regional food security profiles instead of country-specific reports?▼

Yes, you can create regional food security profiles by adjusting the scope parameter. The skill supports customizable scopes, allowing you to generate analytical briefs focusing on global, regional, or specific country statistics depending on your parameter inputs.

What Python libraries are required for FAOSTAT data visualization in analytical briefs?▼

Generating FAOSTAT data visualizations requires Plotly, Pandas, ReportLab, Kaleido, and OpenPyXL. These Python libraries handle data manipulation, rendering visual grammar, and exporting the final multi-page analytical briefs with tables and maps.

Does this analytical brief tool support thematic breakdowns for agriculture statistics?▼

Yes, the tool supports different domains, scopes, and thematic breakdowns for agriculture statistics. It processes these parameters to structure the FAOSTAT data extraction and organize the resulting visual grammar and data appendices within the brief.

What is the best way to add a data appendix to a FAOSTAT policy brief?▼

The best way to add a data appendix is to use this skill, which automatically compiles comprehensive data appendices from extracted FAOSTAT records. It structures the background data, regional statistics, and visualizations directly into the generated policy brief.