paper-to-skill

Name: paper-to-skill
Availability: InStock
Author: NeuroAIHub

Extract experimental designs and analysis pipelines from cognitive science papers.

269|20|Updated Jun 13, 2026

Search Tags:#research #methodology #neuroscience #cognitive science #extraction #reproducibility

Ready to run

npx skills add https://github.com/NeuroAIHub/BrainPilot --skill paper-to-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paper-to-skill
Source: https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/01_Meta-Skills/paper-to-skill
Command: npx skills add https://github.com/NeuroAIHub/BrainPilot --skill paper-to-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the challenge of capturing complex, reproducible methodological knowledge from cognitive science and neuroscience papers, preventing the loss of critical experimental parameters and analysis pipelines.

Core Features & Use Cases

Structured Extraction: Automatically parses research papers to identify experimental designs, data acquisition parameters, and analysis pipelines.
Verification Protocol: Implements a rigorous self-verification step to ensure numerical accuracy and prevent hallucinations.
Use Case: A researcher wants to replicate a specific EEG mismatch negativity paradigm from a recent publication; this skill extracts the exact timing, electrode montage, and filter settings into a standardized, ready-to-use format.

Quick Start

Use the paper-to-skill tool to extract all reproducible methodological techniques from the provided cognitive science paper.

Frequently Asked Questions about paper-to-skill

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

FAQPage Schema

How do I extract experimental design and data acquisition parameters from cognitive science papers?▼

Extract experimental design and data acquisition parameters from cognitive science papers by parsing publications to identify filter settings, electrode montages, and analysis pipelines into structured, reusable skill units.

What is the best way to document analysis pipelines for academic research reproducibility?▼

Document analysis pipelines for academic research reproducibility by structuring methodological techniques and strict parameter tracking from research papers into standardized, ready-to-use formats with source citations.

How do I prevent numerical hallucinations when parsing research methodology from neuroscience papers?▼

Prevent numerical hallucinations when parsing research methodology from neuroscience papers by applying a rigorous verification protocol that cross-checks extracted experimental parameters against the source citation.

Can I use this to replicate a specific EEG mismatch negativity paradigm from a recent publication?▼

You can use this to replicate an EEG mismatch negativity paradigm by extracting exact timing, electrode montage, and filter settings from the publication into a ready-to-use format.

Does extracting research paradigms require manual verification of the output?▼

Extracting research paradigms requires a self-verification step to ensure scientific accuracy, preventing the loss of critical experimental parameters and maintaining strict parameter tracking.

What are the limitations of converting research methods into reusable skills?▼

Converting research methods into reusable skills is limited to cognitive science and neuroscience papers, requiring strict adherence to source citation and verification protocols to ensure scientific accuracy.