Does this skill install new Nixtla plugins automatically?

No, this skill indexes existing installations. To install or update your skills, you should use the nixtla-skills-bootstrap skill or the nixtla-skills CLI.

Can it help me choose the right model for my data?

Yes, by describing your specific goal, the indexer can recommend the appropriate tool, such as nixtla-experiment-architect for model comparison.

How do I see which Nixtla skills are currently active?

Simply type 'list nixtla skills' or 'what skills' in your Claude Code interface to trigger the indexer and see a formatted list.

What if a skill I recently installed isn't appearing in the list?

Ensure the skill is located in the .claude/skills/nixtla-*/ directory and contains a valid SKILL.md file; you may need to run 'nixtla-skills update' to refresh the directory.

Nixtla Skills Index

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

byintent-solutions-io

데이터 과학 및 ML

Catalogues and recommends installed Nixtla forecasting skills for efficient time-series analysis workflows.

소개

The Nixtla Skills Index is a central discovery tool for the Nixtla-Claude ecosystem, allowing users to instantly surface and navigate their installed forecasting capabilities. By scanning local skill directories and parsing metadata, it categorizes tools into expert modes, specific utilities like schema mapping, and infrastructure components. This skill ensures developers and data scientists always select the optimal tool for tasks such as TimeGPT pipelining, model benchmarking, or production service deployment without needing to memorize individual command triggers.

주요 기능

Detailed metadata extraction including skill descriptions, triggers, and versioning
Human-readable markdown output providing a clear directory of forecasting capabilities
0 GitHub stars
Intelligent classification into Mode, Utility, and Infrastructure categories
Task-based skill recommendation to guide users to the right tool for specific data tasks
Automated discovery of all installed Nixtla skills via local directory scanning

사용 사례

Quickly accessing usage instructions for specific Nixtla utilities like the experiment architect
Surveying available forecasting and benchmarking tools within a new project environment
Identifying the correct skill for converting raw data into Nixtla-compatible schemas

소개

주요 기능

Detailed metadata extraction including skill descriptions, triggers, and versioning
Human-readable markdown output providing a clear directory of forecasting capabilities
0 GitHub stars
Intelligent classification into Mode, Utility, and Infrastructure categories
Task-based skill recommendation to guide users to the right tool for specific data tasks
Automated discovery of all installed Nixtla skills via local directory scanning

사용 사례

Quickly accessing usage instructions for specific Nixtla utilities like the experiment architect
Surveying available forecasting and benchmarking tools within a new project environment
Identifying the correct skill for converting raw data into Nixtla-compatible schemas