Data & ReproScientific VisualizationK-Dense-AI/claude-scientific-skillsData & Reproduction
SC

Scholar Evaluation

Maintainer K-Dense Inc. · Last updated April 1, 2026

Apply the ScholarEval framework to systematically evaluate scholarly and research work. This skill provides structured evaluation methodology based on peer-reviewed research assessment criteria, enabling comprehensive analysis of academic papers, research proposals, literature reviews, and scholarly writing across multiple quality dimensions.

Claude CodeAnalysisWritingscholar-evaluationscientific-communicationworkflowresearch methodology & proposal writing

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scholar-evaluation

Maintainer
K-Dense Inc.
License
MIT license
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Apply the ScholarEval framework to systematically evaluate scholarly and research work. This skill provides structured evaluation methodology based on peer-reviewed research assessment criteria, enabling comprehensive analysis of academic papers, research proposals, literature reviews, and scholarly writing across multiple quality dimensions.
  • Evaluating research papers for quality and rigor.
  • Assessing literature review comprehensiveness and quality.
  • Reviewing research methodology design.
  • Scoring data analysis approaches.

Source Doc

Excerpt From SKILL.md

Visual Enhancement with Scientific Schematics

When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.

If your document does not already contain schematics or diagrams:

  • Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
  • Simply describe your desired diagram in natural language
  • Nano Banana Pro will automatically generate, review, and refine the schematic

For new documents: Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.

How to generate schematics:

The AI will automatically:

  • Create publication-quality images with proper formatting
  • Review and refine through multiple iterations
  • Ensure accessibility (colorblind-friendly, high contrast)
  • Save outputs in the figures/ directory

When to add schematics:

  • Evaluation framework diagrams
  • Quality assessment criteria decision trees
  • Scholarly workflow visualizations
  • Assessment methodology flowcharts
  • Scoring rubric visualizations
  • Evaluation process diagrams
  • Any complex concept that benefits from visualization

For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.


Step 1: Initial Assessment and Scope Definition

Begin by identifying the type of scholarly work being evaluated and the evaluation scope:

Work Types:

  • Full research paper (empirical, theoretical, or review)
  • Research proposal or protocol
  • Literature review (systematic, narrative, or scoping)
  • Thesis or dissertation chapter
  • Conference abstract or short paper

Evaluation Scope:

  • Comprehensive (all dimensions)
  • Targeted (specific aspects like methodology or writing)
  • Comparative (benchmarking against other work)

Ask the user to clarify if the scope is ambiguous.

Use cases

  • Evaluating research papers for quality and rigor.
  • Assessing literature review comprehensiveness and quality.
  • Reviewing research methodology design.
  • Scoring data analysis approaches.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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