What problem does it solve?
Evaluating academic work can be subjective and inconsistent, so this Skill provides a structured ScholarEval-based rubric that turns peer review into dimension-by-dimension scoring and concrete, prioritized improvement guidance.
Core Features & Use Cases
- Framework-based assessment: Evaluates research quality across problem formulation, literature review, methodology, data/sources, analysis, results, writing/presentation, and citations.
- Quantitative scoring: Supports optional 1–5 scoring per dimension and produces an overall quality rating to benchmark progress across revisions.
- Actionable feedback: Converts evaluation findings into specific, evidence-based recommendations mapped to the document’s sections or components.
- Workflow coverage: Works for full research papers, proposals/protocols, literature reviews, thesis/dissertation chapters, and short works like conference abstracts.
Quick Start
Ask the AI to evaluate the attached paper using the ScholarEval framework and return dimension scores plus a prioritized list of revision recommendations.