spotpaper

Extract a paper's core argument and generate a visual brief with Python-first draft plans.

2|Updated Dec 14, 2025

Search Tags:#workflow #empirical-research #dataviz #visual-brief #spotpaper #paper-visualization

Ready to run

npx skills add https://github.com/xisun0/SpotPaper --skill spotpaper

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spotpaper
Source: https://github.com/xisun0/SpotPaper/tree/main/skills/spotpaper
Command: npx skills add https://github.com/xisun0/SpotPaper --skill spotpaper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, python-dotenv, and includes scripts (resource) components.

What problem does it solve?

SpotPaper helps researchers translate dense empirical papers or research repos into a concise, dataviz-based visual concept that communicates the main argument quickly.

Core Features & Use Cases

Identify the paper's core visualizable argument and choose an appropriate visual grammar.
Produce a structured visual brief or Python-first draft plan when data are available.
Review and refine visuals through layout and semantic clarity checks, including naive-reader tests.

Quick Start

Turn a paper draft into a visual concept by prompting SpotPaper with the main argument and desired visual grammar.

Frequently Asked Questions about spotpaper

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

FAQPage Schema

How do I turn an empirical research paper draft into a data visualization concept?▼

To turn an empirical paper draft into a data visualization concept, SpotPaper extracts the core argument and converts it into a minimal, visualizable causal sentence to produce a structured visual brief for quick comprehension.

Can I generate Python code for a visual brief if my research repository contains data?▼

Yes, when data exists, generating Python-first code for a visual brief is supported, providing a structured visual draft plan alongside layout and semantic clarity review workflows to refine the output.

What is the best way to summarize a dense empirical paper for a poster presentation?▼

The best way to summarize a dense empirical paper for a poster is to identify the core visualizable argument, choose an appropriate visual grammar, and produce a poster concept with layout and clarity checks including naive-reader tests.

Do I need OpenAI to run the paper visualization workflow?▼

Yes, you need OpenAI and python-dotenv configured in your environment to run this paper visualization workflow, as the processing relies on these dependencies to extract arguments and generate visual plans.

How does the visual clarity review process work for research paper visualizations?▼

The visual clarity review process works by applying layout and semantic clarity checks to the generated dataviz concept, including naive-reader tests to ensure the visual brief communicates the empirical argument effectively.