faostat-trends

Analyzes changes and anomalies in FAOSTAT agricultural production data over time windows.

6|1|Updated Apr 14, 2026

Search Tags:#anomaly detection #time series analysis #FAOSTAT #agricultural data #production trends

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires faostat-mcp, and includes scripts (resource) components.

What problem does it solve?

Identifies significant changes and anomalies in agricultural production data across a time window and geography for the FAOSTAT database.

Core Features & Use Cases

Analyzes changes and anomalies in production over time.
Monitors crop yields, oil crops, and more.
Supports multiple regions, countries, and commodities.
Calculates and presents trend changes in a structured report.
Offers visualization options and further in-depth analysis on request.

Quick Start

Identify agricultural trends in [Country], [Region] over the past [Time Frame]. Specify commodity groups if needed.

Frequently Asked Questions about faostat-trends

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

FAQPage Schema

How do I detect anomalies in agricultural production data over time?▼

To detect anomalies in agricultural production production data, you analyze time series trends by specifying a geography, commodity, and time frame to generate a structured report of significant changes. This process requires connecting to the FAOSTAT MCP server.

Can I analyze crop yield trends for a specific country using FAOSTAT?▼

Yes, you can analyze crop yield trends for specific countries and regions using FAOSTAT data. The analysis supports multiple commodities and time frames, calculating production changes and presenting them in a structured report.

What do I need to run time series analysis on FAOSTAT agricultural data?▼

You need an active connection to the FAOSTAT MCP server to run time series analysis on agricultural data. Once connected, specify your target country, commodity groups, and desired time window to generate the trend report.

What's the best way to monitor changes in oil crop production across regions?▼

The best way to monitor changes in oil crop production across regions is to use time series anomaly detection on FAOSTAT data, specifying the commodity group and time window to identify significant deviations and yield changes in a structured format.

Does FAOSTAT trend analysis support visualization of production anomalies?▼

Yes, FAOSTAT trend analysis offers visualization options for production anomalies upon request. After calculating the time series changes and anomalies, you can request in-depth visual representations of the agricultural data trends.

What are the limitations of analyzing agricultural production trends with FAOSTAT?▼

Limitations of analyzing agricultural production trends with FAOSTAT include the strict dependency on the FAOSTAT MCP server for data access and the constraint of only supporting agricultural production data rather than general economic datasets.