Which commodities are supported by this ingestor?

The skill supports a wide range of commodities including Grains (Wheat, Corn, Rice), Oilseeds (Soybeans, Oil, Meal), Cotton, Livestock (Beef, Pork, Poultry, Dairy), and Sugar.

How does it handle USDA data revisions?

The skill uses content hashing and revision flags to track when the USDA updates data from previous months, ensuring your historical records are always synchronized with the latest official corrections.

Does it support historical data recovery?

Yes, the skill includes a specific 'backfill' workflow designed to batch-process historical reports for specific commodities over a defined period of months or years.

What is the WASDE Ingestor skill?

It is a specialized automation tool for Claude Code that downloads, parses, and validates the USDA's monthly World Agricultural Supply and Demand Estimates, converting them into machine-readable datasets.

What data formats are exported?

It produces standardized Parquet and JSON files, which are optimized for version control and integration into modern data science stacks or business intelligence tools.

WASDE Data Ingestor

Name: WASDE Data Ingestor
Author: fatfingererr

byfatfingererr

0•

网络抓取与数据收集

Automates the extraction and parsing of monthly USDA WASDE reports into standardized datasets for agricultural market analysis.

The WASDE Ingestor is a specialized tool designed to streamline the retrieval and processing of World Agricultural Supply and Demand Estimates (WASDE) reports directly from the USDA. It manages the complex parsing of PDF, HTML, and TXT formats across diverse commodity categories including grains, oilseeds, cotton, and livestock. By enforcing global supply-and-demand balance formulas and tracking data revisions via content hashing, it provides a high-integrity, version-controlled data foundation for financial analysts and data scientists performing nowcasting and supply chain modeling.

主要功能

01Historical backfilling with support for tracking multi-period data revisions

02Standardized output in version-controlled Parquet and JSON formats

03Automated parsing of monthly USDA WASDE reports across all major commodities

040 GitHub stars

05Robust multi-format extraction supporting PDF, HTML, and legacy TXT sources

06Built-in data validation using global supply and demand balance formulas

使用场景

01Nowcasting agricultural market trends with up-to-date supply and demand data

02Tracking historical USDA revision patterns for predictive modeling and analysis

03Building automated data pipelines for commodity trading and risk management

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fatfingererr/macro-skills wasde-ingestor

For use in Claude.ai and ChatGPT

Download Skill