A collection of Claude Code skills for academic research workflows.
| Skill | Description | Trigger |
|---|---|---|
| medical-imaging-review | Write comprehensive literature reviews for medical imaging AI | /medical-imaging-review, "review paper", "survey", "综述" |
| paper-slide-deck | Generate professional slides from academic papers with auto figure extraction | /paper-slide-deck paper.pdf |
| research-proposal | Generate PhD research proposals with Nature Reviews-style academic writing | /research-proposal, "research proposal", "PhD proposal", "研究计划" |
Copy the desired skill folder to your Claude Code skills directory:
# For medical-imaging-review
cp -r medical-imaging-review ~/.claude/skills/
# For paper-slide-deck
cp -r paper-slide-deck ~/.claude/skills/
# For research-proposal
cp -r research-proposal ~/.claude/skills/Or copy to project-local skills:
cp -r medical-imaging-review .agents/skills/
cp -r paper-slide-deck .agents/skills/
cp -r research-proposal .agents/skills/A systematic workflow for writing survey papers, systematic reviews, and literature analyses on medical imaging AI topics.
- Structured 7-phase workflow for literature review writing
- Domain-specific templates covering multiple medical imaging domains
- Standardized writing style with hedging language and citation patterns
- Quality checklists ensuring completeness
- Zotero integration for reference management
- Coronary Artery Analysis (CCTA)
- Lung Imaging (CT/X-ray)
- Brain Imaging (MRI/CT)
- Cardiac Imaging (MRI/CT/Echo)
- Pathology (Whole Slide Images)
- Retinal Imaging (Fundus/OCT)
| Path | Description |
|---|---|
SKILL.md |
Main skill definition and quick reference |
references/WORKFLOW.md |
Detailed 7-phase workflow guide |
references/TEMPLATES.md |
Project file templates |
references/DOMAINS.md |
Domain-specific method categories and datasets |
references/MCP_SETUP.md |
ArXiv, PubMed, Zotero MCP configuration |
references/QUALITY_CHECKLIST.md |
Pre-submission quality checklist |
Transform academic papers into professional slide decks with automatic figure extraction and AI-generated visuals.
- Auto figure detection from PDF papers
- Smart figure-to-slide mapping based on caption analysis
- 17 visual styles (academic-paper, sketch-notes, minimal, etc.)
- Gemini API integration for AI slide generation
- PPTX/PDF export with merge scripts
- Analyze paper and detect figures/tables
- Generate outline with auto IMAGE_SOURCE mapping
- Extract figures from PDF (or AI-generate)
- Apply academic templates
- Merge to PPTX/PDF
| Path | Description |
|---|---|
SKILL.md |
Main skill definition and workflow |
references/ |
Analysis framework, templates, style definitions |
scripts/ |
Python/TypeScript automation scripts |
| Script | Purpose |
|---|---|
generate-slides.py |
Gemini API image generation |
detect-figures.ts |
PDF figure/table detection |
extract-figure.ts |
PDF page extraction |
apply-template.ts |
Academic figure container template |
merge-to-pptx.ts |
PPTX generation |
merge-to-pdf.ts |
PDF generation |
Generate high-quality academic research proposals for PhD applications following Nature Reviews-style academic writing conventions.
- Structured 5-phase workflow: Requirements → Literature → Outline → Content → Output
- Multi-source literature integration: WebSearch, Zotero MCP, arXiv, PubMed
- Bilingual support: English and Chinese (中文)
- Domain adaptation: STEM, Humanities, Social Sciences
- Academic writing style: Prose-based with hedging language, minimum 40 references
- Gather requirements (topic, domain, language, word count)
- Collect literature from multiple sources
- Generate outline for user approval
- Write full proposal based on approved outline
- Output Markdown with quality checklist
| Path | Description |
|---|---|
SKILL.md |
Main skill definition and 5-phase workflow |
references/STRUCTURE_GUIDE.md |
Section-by-section writing guide |
references/DOMAIN_TEMPLATES.md |
STEM vs Humanities differences |
references/WRITING_STYLE_GUIDE.md |
Nature Reviews academic writing style |
references/QUALITY_CHECKLIST.md |
Quality verification checklist |
references/LITERATURE_WORKFLOW.md |
Literature collection workflow |
assets/proposal_scaffold_en.md |
English template scaffold |
assets/proposal_scaffold_zh.md |
Chinese template scaffold |
- Target: 2,000-4,000 words (default ~3,000)
- Minimum 40 references
- 3-5 figure suggestions
- Markdown format (convertible to DOCX/PDF via pandoc)
MIT License