What is the required schema for Nixtla?

Nixtla requires three specific columns: 'unique_id' for the series identifier, 'ds' for the timestamp, and 'y' for the target numeric value.

Can I visualize my data before running a forecast?

Yes, the skill includes a --plot option that generates time-series visualizations to help you verify the data transformation before proceeding to modeling.

Does this skill require a TimeGPT API key?

A TimeGPT API key is only required if you use the optional --timegpt flag for forecasting; the core transformation and StatsForecast features work without one.

Can this skill handle dates in different formats?

Yes, the skill attempts to parse standard date formats (like YYYY-MM-DD) and validates them during the transformation process to ensure compatibility.

Nixtla Prediction Market Schema Mapper

Name: Nixtla Prediction Market Schema Mapper
Author: intent-solutions-io

byintent-solutions-io

0•

データサイエンスとML

Maps and transforms prediction market datasets into standardized Nixtla-compatible formats for automated time-series forecasting.

The Nixtla Contract Schema Mapper is a specialized Claude Code skill designed to bridge the gap between raw prediction market data and advanced forecasting engines. It automates the extraction and transformation of disparate column names—such as contract IDs, timestamps, and trading prices—into the mandatory Nixtla schema (unique_id, ds, y). By providing built-in validation for date formats and numeric types, it ensures that datasets from platforms like Polymarket or Augur are immediately ready for processing by StatsForecast or TimeGPT. This skill is ideal for financial analysts and data scientists who need to rapidly prototype time-series models without tedious manual data cleaning.

主な機能

01Validation of date formats and numeric data integrity

02Automated schema mapping for arbitrary CSV column headers

030 GitHub stars

04One-command transformation and sample forecast generation

05Integrated time-series visualization for quick data auditing

06Support for both open-source StatsForecast and Nixtla TimeGPT

ユースケース

01Standardizing multi-series time datasets for batch model benchmarking

02Preparing Polymarket or election contract data for price trend forecasting

03Cleaning raw CSV exports from prediction market APIs for research pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add intent-solutions-io/plugins-nixtla nixtla-contract-schema-mapper

For use in Claude.ai and ChatGPT

Download Skill