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Get Started Free →Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 65% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 137% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 12% | 0% |
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝
来源仓库: https://github.com/luwill/research-skills 项目名称: research-skills 开源协议: MIT License 收录日期: 2026-04-02
声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->
Write comprehensive literature reviews following a systematic 7-phase workflow.
CLAUDE.md - Writing guidelines and terminologyIMPLEMENTATION_PLAN.md - Staged execution planmanuscript_draft.md - Main manuscriptTopic sentence (main claim)
→ Supporting evidence (citations + data)
→ Analysis (critical evaluation)
→ Transition to next paragraphUse multi-source strategy for comprehensive coverage:
| Source | Best For | Tools | |--------|----------|-------| | ArXiv | Latest DL methods, preprints | search_papers, read_paper | | PubMed | Clinical validation, peer-reviewed | pubmed_search_articles | | Zotero | Existing library, organized refs | zotero_search_items |
For MCP configuration details, see references/MCP_SETUP.md.
markdown# [Title]: State of the Art and Future Directions ## Key Points - [3-5 bullets summarizing main findings] ## Abstract ## 1. Introduction ### 1.1 Clinical Background ### 1.2 Technical Challenges ### 1.3 Scope and Contributions ## 2. Datasets and Evaluation Metrics ### 2.1 Public Datasets (Table 1) ### 2.2 Evaluation Metrics ## 3. Deep Learning Methods ### 3.1 [Category 1] ### 3.2 [Category 2] (Table 2: Method Comparison) ## 4. Downstream Applications ## 5. Commercial Products & Clinical Translation (Table 3) ## 6. Discussion ### 6.1 Current Limitations ### 6.2 Future Directions ## 7. Conclusion ## References
markdown### 3.X [Method Category] [1-2 paragraph introduction with motivation] **[Method Name]:** [Author] et al. [ref] proposed [method], which [innovation]: - [Key component 1] - [Key component 2] Achieves Dice of X.XX on [dataset]. **Limitations:** Despite advantages, [category] methods face: (1) [limit 1]; (2) [limit 2].
markdown# Data citation "...achieved Dice of 0.89 [23]" # Method citation "Gu et al. [45] proposed..." # Multi-citation "Several studies demonstrated... [12, 15, 23]" # Comparative "While [12] focused on..., [15] addressed..."
| File | Purpose | |------|---------| | references/WORKFLOW.md | Detailed 7-phase workflow | | references/TEMPLATES.md | CLAUDE.md and IMPLEMENTATION_PLAN.md templates | | references/DOMAINS.md | Domain-specific method categories | | references/MCP_SETUP.md | MCP server configuration | | references/QUALITY_CHECKLIST.md | Pre-submission quality checklist |
Other measured skills in the registry, with their headline benchmark lift.