What is Nixtla Skills Bootstrap?

It is a specialized management skill that installs and updates a suite of Nixtla-specific tools for time-series forecasting and machine learning directly within Claude Code.

Which specific skills are installed by this bootstrap?

It installs the TimeGPT Lab, Experiment Architect, Schema Mapper, and the Bootstrap skill itself into your local project.

Do I need external tools to use this skill?

Yes, you need Python 3.8+ and the 'nixtla-claude-skills-installer' CLI tool installed via pip on your local machine.

How do I trigger the installation of Nixtla skills?

You can simply prompt Claude with 'install nixtla skills' or 'update nixtla' to initiate the bootstrap or update process.

Where are these skills stored after installation?

The skills are stored locally in your project's '.claude/skills/' directory, where they persist until explicitly updated or removed.

Nixtla Skills Bootstrap

Name: Nixtla Skills Bootstrap
Author: intent-solutions-io

byintent-solutions-io

数据科学与机器学习

Installs and manages specialized Nixtla forecasting and TimeGPT skills for Claude Code.

关于

This skill serves as the central management hub for Nixtla-powered forecasting workflows within Claude Code, allowing developers to quickly bootstrap their environment for advanced time-series analysis. It automates the installation, update, and verification of a suite of domain-specific tools, including TimeGPT integration, experiment scaffolding, and data schema mapping. By bridging the nixtla-skills CLI with Claude's environment, it ensures that your workspace is always equipped with the latest patterns for generating high-performance forecasting pipelines and FastAPI services from natural language instructions.

主要功能

0 GitHub stars
Seamless scaffolding for TimeGPT Lab and Experiment Architect skills
Environment verification to check CLI availability and installation status
One-command installation of the core Nixtla forecasting skill suite
Automated updates to keep skills synchronized with the latest versions
Local persistence of skills within the project's .claude directory

使用场景

Updating existing Nixtla skills to access the latest features and model improvements
Verifying the readiness of data science tooling within a Claude Code workspace
Initializing a new project with advanced time-series forecasting capabilities

关于

主要功能

0 GitHub stars
Seamless scaffolding for TimeGPT Lab and Experiment Architect skills
Environment verification to check CLI availability and installation status
One-command installation of the core Nixtla forecasting skill suite
Automated updates to keep skills synchronized with the latest versions
Local persistence of skills within the project's .claude directory

使用场景

Updating existing Nixtla skills to access the latest features and model improvements
Verifying the readiness of data science tooling within a Claude Code workspace
Initializing a new project with advanced time-series forecasting capabilities