Building Paper Screening Rubrics

What problem does it solve?

Manually screening hundreds of papers is time-consuming, inconsistent, and prone to human error. This skill helps you define clear, testable criteria for automated paper relevance screening, ensuring accuracy before bulk processing.

Core Features & Use Cases

• Collaborative Design: Brainstorm relevance criteria with AI guidance to capture all nuances of your research question.
• Test-Driven Refinement: Build and validate your rubric on a small set of real papers, iteratively improving accuracy.
• Structured Output: Generates a screening-criteria.json file, documenting your rubric for reproducibility.
• Use Case: Before a large literature review, use this skill to define what makes a paper "relevant" to your research. Claude will help you build a rubric, test it on sample papers, and refine it until it accurately identifies the papers you need, saving you hours of manual review.

Quick Start

Example: Start building a new screening rubric

"Help me build a paper screening rubric for my research question."