学术证据链深度调研技能 — 通过迭代式证据链推理,系统性地调研任何学术领域。
- 三段式工作流: 泛搜索 → 交互式方向细化 → 证据链深度调研
- 证据链推理: 每次搜索结果作为下一次搜索的推理起点
- 多源搜索: Google Scholar, arXiv, PubMed, Web
- 质量优先: 优先顶级会议/期刊和知名研究组的论文
- 结构化报告: 自动生成包含推理路径的调研报告
cp -R ./academic-deep-research-skill ~/.gemini/skills/academic-deep-research-skillcp -R ./academic-deep-research-skill ~/.claude/skills/academic-deep-research-skillcp -R ./academic-deep-research-skill .claude/skills/academic-deep-research-skillcp -R ./academic-deep-research-skill .github/skills/academic-deep-research-skillcp -R ./academic-deep-research-skill .cursor/rules/academic-deep-research-skillcp -R ./academic-deep-research-skill .windsurf/skills/academic-deep-research-skillcp -R ./academic-deep-research-skill .clinerules/academic-deep-research-skill./install.sh/academic-deep-research end-to-end portfolio optimization deep learning
/academic-deep-research graph neural networks for drug discovery
帮我深度调研一下 LLM reasoning 的最新进展
academic-deep-research-skill/
├── SKILL.md # Main skill definition
├── references/
│ ├── methodology.md # Evidence-chain methodology
│ └── search-sources-guide.md # Search source selection guide
├── assets/
│ └── report_template.md # Report output template
├── install.sh # Cross-platform installer
└── README.md # This file
MIT