paper-standardizer

What problem does it solve?

This Skill automates the complex and time-consuming process of standardizing raw, extracted data from academic papers into clean, analysis-ready formats, ensuring consistency and enabling robust research.

Core Features & Use Cases

• End-to-End Standardization: Manages the full pipeline from category design to AI-assisted classification and codebook integration.
• Reproducible Codebook: Creates and maintains a Python codebook as the single source of truth for all standardization rules and AI overrides.
• High Coverage: Achieves 99%+ classification coverage through a two-layer approach combining rule-based matching and AI comprehension.
• Use Case: You have a database of 3,500 entrepreneurship papers with messy, inconsistently extracted fields. Use this Skill to clean and standardize variables like paper type, methodology, theoretical lens, and country context, making the data ready for advanced analytics.

Quick Start

Use the paper-standardizer skill to standardize the 'method' column in my uploaded knowledge base Excel file.