Does it support compliance reporting?

Yes, it can generate structured documentation suitable for SOX and Basel III compliance requirements, including a technical appendix on assumptions.

What files do I need to use this skill?

You need a forecast output file in CSV, JSON, or Markdown format, along with the associated TimeGPT run metadata (horizon, frequency, and training window) within your workspace.

How do I trigger a forecast explanation?

You can use natural language triggers such as 'explain forecast', 'why is the forecast', or 'generate forecast narrative' within the Claude Code interface.

Can it identify causal drivers automatically?

The skill identifies observable drivers like trends and seasonality. It will not fabricate causal drivers unless you provide specific regressor data to the model.

Is the output suitable for non-technical users?

Yes, the skill is specifically designed to translate technical data into 'plain-English' summaries appropriate for C-suite executives and board members.

Nixtla Forecast Explainer

Name: Nixtla Forecast Explainer
Author: intent-solutions-io

byintent-solutions-io

数据科学与机器学习

Generates plain-English narratives and executive summaries from TimeGPT forecast results to bridge the gap between data science and business stakeholders.

关于

The Nixtla Forecast Explainer acts as an automated analyst that interprets complex TimeGPT forecasting outputs, transforming raw technical data into actionable insights for non-technical audiences. It analyzes levels, trends, seasonality, and uncertainty to produce stakeholder-ready reports, executive briefings, and compliance documentation. By automating the narrative generation process, it ensures consistent communication of forecast drivers and risks across the organization, making it an essential tool for board presentations and strategic planning where clarity is as important as accuracy.

主要功能

Compliance-ready documentation for SOX and Basel III standards
0 GitHub stars
Automated executive summary generation for C-level stakeholders
Driver-oriented analysis of trends, seasonality, and baseline levels
Technical appendices detailing model assumptions and limitations
Natural language triggers for explaining specific forecast artifacts

使用场景

Preparing executive narratives for quarterly board presentations
Explaining complex time-series model drivers to non-technical project managers
Generating compliance documentation for regulated financial forecasting

关于

主要功能

Compliance-ready documentation for SOX and Basel III standards
0 GitHub stars
Automated executive summary generation for C-level stakeholders
Driver-oriented analysis of trends, seasonality, and baseline levels
Technical appendices detailing model assumptions and limitations
Natural language triggers for explaining specific forecast artifacts

使用场景

Preparing executive narratives for quarterly board presentations
Explaining complex time-series model drivers to non-technical project managers
Generating compliance documentation for regulated financial forecasting