菜单
Export literature search results to a structured CSV spreadsheet. Use when the user wants to view, share, or analyze search results in tabular form (Excel/Sheets-compatible). Triggers: CSV, spreadsheet, Excel, table, export, 导出, 表格, survey.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
为 acadclaw 调度整条 ECE 学术研究链路，决定何时调用检索、综述、研究空白、实现、实验、写作、引用和评审类 skills。Full-chain pipeline with concrete tool calls for literature search, RAG, experiments, statistics, plotting, writing, review, and citation management.
Specialized in writing research experiment code. Use when spawning a subagent to implement simulations, numerical models, data processing, or statistical analysis. Produces well-structured, documented Python code with proper error handling and result persistence.
学术关系构建指南。指导撰写 Cold Email、会议社交以及建立学术影响力。
Specialized in reviewing academic papers and providing structured feedback. Use when spawning a subagent for peer review, quality assessment, or iterative improvement of academic writing. Triggers: review, 审稿, feedback, critique, improve, 迭代, revise.
面向中文管理类硕士学位论文的多轮评审技能，尤其适用于 MBA、MEM、MPA，也可扩展到相近的专业型与应用研究型论文。
用于润色面向顶级计算机学术会议的研究写作（如 NeurIPS、ICLR、ICML、AAAI、IJCAI、ACL、EMNLP、NAACL、CVPR、WWW、KDD、SIGIR、CIKM 等）。当用户要求改进、润色、精修、编辑或校对学术写作时触发，包括论文草稿、摘要、引言、相关工作、方法描述、实验部分或结论部分；当用户粘贴 LaTeX 内容并请求写作帮助，或提到 camera-ready、rebuttal、paper revision、具体学术会议名称时也应触发。该技能同时支持整篇论文润色与分章节编辑。
| name | literature-survey-csv |
| description | Export literature search results to a structured CSV spreadsheet. Use when the user wants to view, share, or analyze search results in tabular form (Excel/Sheets-compatible). Triggers: CSV, spreadsheet, Excel, table, export, 导出, 表格, survey. |
| always | false |
Export deduplicated paper results to a CSV file for analysis in Excel, Google Sheets, or Python/pandas.
After Stage 1 (Literature Search → Dedup → Citation Analysis), when you have a JSON results set from academic_dedup or academic_citation_network.
python scripts/generate_csv.py <input.json> -o papers/literature_survey.csv
The script is located in the packaged skill directory:
acadclaw/skills/literature-survey-csv/scripts/generate_csv.py.
Copy it to the workspace or run it directly from the installed package path.
Input: JSON file with {"papers": [...]} or a plain JSON array of paper objects.
Output: UTF-8 CSV with BOM (for Excel compatibility).
If the script is unavailable, construct CSV manually:
Title,Authors,Year,Venue,Citations,DOI,URL,Source,Type,Topicpapers/literature_survey.csv| Column | Source Field | Notes |
|---|---|---|
| Title | title | Always present |
| Authors | authors | Semicolon-separated |
| Year | year | Integer or empty |
| Venue | venue | Journal/conference name |
| Citations | citation_count | Integer, 0 if unknown |
| DOI | doi | Full DOI URL |
| URL | url | Landing page or PDF |
| Source | source | arXiv / Semantic Scholar / OpenAlex |
| Type | type | article, preprint, book, etc. |
| Topic | topic | Primary topic (OpenAlex) |
| Seminal | _seminal_rank | From citation analysis (1=top) |
| Cluster | _topic_cluster | From citation analysis |
In the academic-research pipeline, CSV export fits after Stage 1:
Search → Dedup → Citation Analysis → **CSV Export** → RAG Indexing → ...
academic_bibtex for citation management