gen-report

Generate a Jupytext-compatible report template with standard analysis sections.

1|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/bcmcpher/my-skills --skill gen-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gen-report
Source: https://github.com/bcmcpher/my-skills/tree/main/plugins/stat-analysis/skills/gen-report
Command: npx skills add https://github.com/bcmcpher/my-skills --skill gen-report

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scaffold statistical analysis reports in Jupytext format, enabling reproducible templates for methods, QC, and results.

Core Features & Use Cases

  • Scaffold a Jupytext-compatible notebook template with standard sections (Setup, Data Summary, QC, Models, Results, Figures, Conclusions)
  • Provide method-specific QC placeholders and model skeletons aligned to plan-analysis outputs
  • Turn plan-analysis model hierarchies into a ready-to-fill report template that can be converted to a notebook

Quick Start

Invoke gen-report to scaffold a Jupytext-compatible report file from your analysis plan.

Frequently Asked Questions about gen-report

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a reproducible Jupytext report template for statistical analysis?

To create a Jupytext report template, you scaffold a .py file with a Jupytext header and standard sections like Setup, Data Summary, QC, Models, and Results. This provides a structured, reproducible format for documenting statistical analyses.

What is the best way to turn a model hierarchy plan into a structured notebook?

Turning a model hierarchy into a structured notebook involves generating a Jupytext-compatible report template. This template provides ready-to-fill model skeletons and method-specific QC placeholders aligned to your plan-analysis outputs.

Do I need a Python environment with Jupytext installed to generate report scaffolds?

Yes, you need a Python environment with Jupytext installed. The report generation process outputs a .py file containing a Jupytext header and section scaffolds that relies on standard reference templates within this environment.

What sections are included in a scaffolded statistical analysis report?

A scaffolded statistical analysis report includes standard sections for Setup, Data Summary, QC, Models, Results, Figures, and Conclusions. These sections provide placeholders to guide methods documentation and statistical results structuring.

Can I generate QC plots and model skeletons automatically when starting a new analysis?

Yes, generating a Jupytext report template provides method-specific QC plot placeholders and model skeletons automatically. This scaffolding is applicable when starting a new analysis or planning a model hierarchy.