notebook-section-research

Extract raw outputs and metadata from a single Jupyter notebook section.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/must1f/Dissertaion-Project --skill notebook-section-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebook-section-research
Source: https://github.com/must1f/Dissertaion-Project/tree/main/.agents/skills/notebook-section-research
Command: npx skills add https://github.com/must1f/Dissertaion-Project --skill notebook-section-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires nbformat, and includes scripts (resource) components.

What problem does it solve?

Analyze one executed Jupyter notebook section by extracting its saved raw outputs first, including plots and images, documenting them under Documentation/Results, and only then performing scientific assessment. Use when the user asks to review or research a specific .ipynb section, inspect graphs/metrics from notebook outputs, document notebook section results, or deploy a research agent on a notebook section.

Core Features & Use Cases

  • Extracts raw outputs from a single notebook section, including plots and images, and saves them for documentation.
  • Generates a structured Documentation/Results record and a manifest to support reproducible review.
  • Enables subsequent scientific assessment by isolating section-level results from full notebook code.

Quick Start

Use the notebook-section-research skill to extract outputs for a specific notebook section, then review the raw results before interpretation.

Frequently Asked Questions about notebook-section-research

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

FAQPage Schema
How do I extract outputs and plots from a single Jupyter notebook section?▼

You can extract outputs from a single notebook section by isolating the executed .ipynb section and saving its raw plots, images, and metrics. This process captures section-level results into a Documentation/Results directory for focused scientific review.

What is the best way to document notebook section results for reproducible review?▼

Documenting notebook section results requires extracting saved outputs and metadata to generate a structured Documentation/Results record and a manifest. This isolates section-level results from the full notebook code to support reproducible scientific assessment.

Can I review graphs and metrics from notebook outputs without running the entire script?▼

Yes, you can review graphs and metrics from notebook outputs without running the entire script. The skill analyzes a single executed .ipynb section by extracting its previously saved raw outputs, enabling direct inspection of plots and figures.

Does notebook section research work with the nbformat dependency?▼

Yes, notebook section research relies on the nbformat dependency to parse the .ipynb file structure. This enables the workflow to accurately locate a specific section, extract its saved outputs, and generate a manifest for subsequent assessment.

How do I prepare a research agent to analyze a specific .ipynb section?▼

To prepare a research agent for a specific .ipynb section, deploy the workflow to extract the section's raw outputs and metadata first. This generates a manifest and saved artifacts, enabling the agent to perform subsequent scientific assessment on isolated results.