学术写作
5 个 · organized/repo_cards · 六阶段二十任务 · 方向综述 →
质量状态 Quality Gate
1234已收录 1234
36待复核 36
184已排除 184
公开榜单只展示已收录项目；待复核与已排除项目仍保留在仓库总库，不在此页传播。
研究阶段概览 Research Workflow
| # | 方向 | 数量 | 代表仓库 Top 3 |
|---|---|---|---|
| 01 | 研究执行 | 138 | aipoch/open-science · Galaxy-Dawn/claude-scholar · OpenNSWM-Lab/FAROS |
| 02 | 投稿发表 | 15 | HarisIqbal88/PlotNeuralNet · garrettj403/SciencePlots · Gabberflast/academic-pptx-skill |
首次收录 近 14 天 · 按日期统计
2026-10-10
2
2026-10-08
3
2026-10-07
1
2026-10-04
1
2026-10-02
1
2026-09-29
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2026-09-28
2
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旧分类链接兼容
organized/repo_cards · 学术方向；旧书签仍可访问，新统计不再使用这些字段。
方向榜单 Legacy
| 其他学术工具 | 126 | iron-XiangruChen/reservoir-image-review-reproducibility |
| 图表与可视化 | 15 | |
| 学术综合写作 | 12 | WenyuChiou/ai-research-skills · drshahizan/research-design · khoman9874/research-skills-guide |
01
WenyuChiou/ai-research-skills
面向研究工作流的通用 SKILL.md 目录：覆盖文献综述、研究设计、项目记忆、稿件写作与跨 Agent 委托，兼容 Claude Code、Codex、Gemini、Cursor、OpenClaw 及通用 AI 客户端Universal SKILL.md catalog for research workflows: literature review, research design, project memory, manuscript writing, and cross-agent delegation for Claude Code, Codex, Gemini, Cursor, OpenClaw, and generic AI clients.
+13/周
306 ★
02
drshahizan/research-design
本课程涵盖从初始想法到正式学术写作的开发流程与实现要点。学生将学习如何转化与消化文献综述，从而凝练出拟定的研究题目。This course will cover the fundamental steps and implementation on developing the initial ideas to formal academic writing accordingly. Students will be given the mechanisms on how to transform and digest the literature reviews that leads to the proposed title.
96 ★
03
khoman9874/research-skills-guide
提供提案撰写、医学影像文献综述与论文报告幻灯片的工具，自动化学术研究工作流。Automate academic research workflows with tools for proposal writing, medical imaging literature reviews, and paper presentation slides.
1 ★
04
meenakshiakula231-sketch/autoresearch-multi-agent-ai
一个用于自动化文献综述、论文摘要和引文映射的多 Agent AI 系统。A multi-agent AI system for automated literature review ,paper summarization, and citation mapping.
0 ★
05
iron-XiangruChen/reservoir-image-review-reproducibility
非常规储层图像解释中深度学习系统综述的可复现材料、研究级编码数据、文档与验证脚本Reproducibility materials, study-level coding data, documentation, and verification scripts for a systematic review of deep learning in unconventional reservoir image interpretation.
0 ★