XzhLoongSkills/skills/academic/research-skills

Research Skills

A collection of Claude Code skills for academic research workflows.

Skills

Single-Agent Skills

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"

Multi-Agent Survey System (5 Agents)

A collaborative system where 5 specialized AI agents work together to produce conference-quality survey papers.

Agent	Skill	Role
研究主管 (Survey Director)	survey-director	Topic planning, outline design, task dispatch, final review
文献侦查员 (Literature Scout)	literature-scout	Multi-source literature search, build literature matrix
论文分析师 (Paper Analyst)	paper-analyst	Deep reading, structured extraction, comparison tables
论文撰写员 (Survey Writer)	survey-writer	Section writing following academic templates
质量编辑员 (Quality Editor)	quality-editor	Terminology consistency, citation integrity, quality review

Shared References: references/ — Workflow, domain knowledge, templates, quality checklists

Agent Configs: agents-config/ — AGENTS.md templates for each agent

Installation

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/

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Medical Imaging Review Skill

A systematic workflow for writing survey papers, systematic reviews, and literature analyses on medical imaging AI topics.

Features

• 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

Supported Domains

• 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)

Files

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

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Paper Slide Deck Skill

Transform academic papers into professional slide decks with automatic figure extraction and AI-generated visuals.

Features

• 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

Workflow

1. Analyze paper and detect figures/tables
2. Generate outline with auto IMAGE_SOURCE mapping
3. Extract figures from PDF (or AI-generate)
4. Apply academic templates
5. Merge to PPTX/PDF

Files

Path	Description
SKILL.md	Main skill definition and workflow
references/	Analysis framework, templates, style definitions
scripts/	Python/TypeScript automation scripts

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

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Research Proposal Skill

Generate high-quality academic research proposals for PhD applications following Nature Reviews-style academic writing conventions.

Features

• 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

Workflow

1. Gather requirements (topic, domain, language, word count)
2. Collect literature from multiple sources
3. Generate outline for user approval
4. Write full proposal based on approved outline
5. Output Markdown with quality checklist

Files

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

Output

• Target: 2,000-4,000 words (default ~3,000)
• Minimum 40 references
• 3-5 figure suggestions
• Markdown format (convertible to DOCX/PDF via pandoc)

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License

MIT License