What problem does it solve? Assessing research papers, proposals, and literature reviews consistently is difficult without a structured rubric, leading to subjective or incomplete feedback. This Skill applies the ScholarEval framework to produce systematic, dimension-by-dimension evaluations with quantitative scores and actionable recommendations. ## Core Features & Use Cases - Eight-Dimension Assessment: Evaluates problem formulation, literature review, methodology, data collection, analysis, results, writing, and citations using detailed rubrics in references/evaluation_framework.md. - Quantitative Scoring: Aggregates dimension ratings on a 5-point scale with weighted averaging, quality-level classification, and ASCII bar charts via scripts/calculate_scores.py. - Structured Feedback Reports: Produces prioritized strengths, weaknesses, and publication-readiness assessments tailored to work stage, venue, and discipline. - Use Case: Given a draft machine learning paper, systematically score each dimension, generate a SCHOLAR_EVALUATION.md report, and identify the highest-impact revisions before journal submission. ## Quick Start Evaluate this research paper using the scholar-evaluation skill and produce a scored report with prioritized feedback.
