Update all the latest writing skills

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Vinayak Agarwal
2025-12-12 11:42:41 -08:00
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---
name: scholar-evaluation
description: Systematic framework for evaluating scholarly and research work based on the ScholarEval methodology. This skill should be used when assessing research papers, evaluating literature reviews, scoring research methodologies, analyzing scientific writing quality, or applying structured evaluation criteria to academic work. Provides comprehensive assessment across multiple dimensions including problem formulation, literature review, methodology, data collection, analysis, results interpretation, and scholarly writing quality.
---
# Scholar Evaluation
## Overview
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- Evaluating scholarly writing and presentation
- Providing structured feedback on academic work
- Benchmarking research quality against established criteria
- Assessing publication readiness for target venues
- Providing quantitative evaluation to complement qualitative peer review
## 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:**
```bash
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
```
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.
---
## Evaluation Workflow
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Python script for calculating aggregate evaluation scores from dimension-level ratings. Supports weighted averaging, threshold analysis, and score visualization.
Usage:
```python
```bash
python scripts/calculate_scores.py --scores <dimension_scores.json> --output <report.txt>
```
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- Writing could improve clarity in results section
6. Provide prioritized recommendations with specific suggestions
## Integration with Scientific Writer
This skill integrates seamlessly with the scientific writer workflow:
**After Paper Generation:**
- Use Scholar Evaluation as an alternative or complement to peer review
- Generate `SCHOLAR_EVALUATION.md` alongside `PEER_REVIEW.md`
- Provide quantitative scores to track improvement across revisions
**During Revision:**
- Re-evaluate specific dimensions after addressing feedback
- Track score improvements over multiple versions
- Identify persistent weaknesses requiring attention
**Publication Preparation:**
- Assess readiness for target journal/conference
- Identify gaps before submission
- Benchmark against publication standards
## Notes
- Evaluation rigor should match the work's purpose and stage
- Some dimensions may not apply to all work types (e.g., data collection for purely theoretical papers)
- Cultural and disciplinary differences in scholarly norms should be considered
- This framework complements, not replaces, domain-specific expertise
- Use in combination with peer-review skill for comprehensive assessment
## Citation

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