跨多个来源检索学术文献、核对引文并转换参考文献文件;可使用MeSH设计PubMed检索式,也可区分独立他引与自引,整理引用者及引用语境。
- 跨多个来源检索文献
- 核对文档中的引文信息
- 用MeSH设计PubMed检索式
将科学论文或研究笔记整理成中文学术演示文稿,加入原文图表和演讲者备注。按论文类型安排内容,统一专业术语,也可修改现有幻灯片并进行质量检查。
Create or improve a Chinese academic PPTX from a scientific paper or research reading notes, with source figures and speaker notes. Use for 论文做PPT、文献汇报、组会PPT and paper-based conference or defense presentations.
实测评分 未实测
查看安装方法根据科学论文或研究阅读笔记,制作以中文为主的学术演示文稿(.pptx)。内容结构会根据论文类型调整,涵盖发现与机制研究、方法研究、数据集、临床研究、材料研究和综述。演示文稿会包含原论文中的图和演讲者备注,并通过术语表统一各页和备注中的专业名称。修改已有演示文稿时,会沿用原有论点和素材。
适合制作课题组文献汇报、组会演示文稿,以及根据论文准备的学术会议或学位答辩材料。也可用于修改已完成演示文稿中的指定页面,并检查修改涉及的相关引用。
默认输出语言为中文,工具配置优先使用 Python。不会补造原文没有的结果、数值或图表细节。生成演示文稿后,如果审计脚本可用,会进行质量检查、修正严重问题并记录检查结果。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
For an edit to an existing deck, reuse its paper source, narrative, terminology, and assets. Change the requested slides and any affected cross-slide references; do not rerun paper intake or rebuild the deck's story unless the request requires it. Inspect changed slides and run the existing final PPTX audit before delivery. A requested outline or explanation alone does not require creating a deck.
For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.
Read manifest.yaml. It declares the paper_type axis, the allowed values, and the file paths each value maps to.
Also read every file listed under always_load. These hold the purpose and core principle, the lean operating mode and toolchain policy, the 9-step workflow spine, and the output/quality rules that apply to every deck, plus the shared Terminology Ledger used to keep technical terms consistent across slides.
Decide the paper_type value using the manifest's detect: hint and the source:
discovery — discovery / mechanism papers (question-to-evidence arc). Default.methods — methods / AI / tool / algorithm papers (problem-to-solution arc).resource — resource / dataset / atlas / omics / benchmark papers (workflow-to-validation arc).clinical — clinical / population / intervention studies (design-to-inference arc).materials — materials / chemistry / physics / engineering papers (property-to-mechanism / design-to-performance arc).review — reviews / perspectives / commentaries / meta-analyses (evidence-map arc).State the detected value in one short line to the user before designing slides, so they can correct you cheaply.
Read the file mapped for the detected paper_type. It gives the presentation arc and how to adapt the default slide structure for this type. Do not read every fragment in static/.
Apply the loaded fragments in this priority order:
core/principles.md) — the argument is the spine; lean operating mode; accepted inputs; Chinese-by-default language rule.core/toolchain.md) — cross-platform Python-first stack, default fast path.paper_type fragment) — narrative order and slide structure for this paper.core/workflow.md) — run the 9 steps end to end.core/output-and-quality.md) — deliverables, quality gates, fallbacks.Build the Terminology Ledger (../nature-shared/core/terminology-ledger.md) while reading the source, so model names, gene/protein names, datasets, metrics, and abbreviations stay identical across every slide and speaker note.
When a deck is requested, the end product is a real .pptx, not only an outline or script. Do not fabricate results, numbers, or figure details.
The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest:
references/design-and-layout.md.references/figure-assets.md.references/self-review.md.When a real PPTX has been generated, run scripts/audit_pptx_quality.py unless the file is unavailable. Treat high-severity findings as blockers, revise the deck, then re-run the audit and record the final result in output/qa_report.md.
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跨多个来源检索学术文献、核对引文并转换参考文献文件;可使用MeSH设计PubMed检索式,也可区分独立他引与自引,整理引用者及引用语境。
在指定的Nature系列或CNS相关期刊范围内查找论文,核对摘要或出版社页面,将文献对应到稿件中的具体论点,并导出经核实、可导入文献管理软件的参考信息。
起草或检查论文的数据与代码可用性声明,整理数据来源、存储位置、访问限制、标识符和正式引用,并核对有助于发现与复用数据的元数据。
通过开放获取、出版社 API 或机构授权渠道获取学术论文全文和补充材料。它会为每篇文献选择获取途径,并记录文件格式、来源和下载结果。
把实验照片、音频和文字整理成带结构化元数据的 Markdown 日志,分配实验编号和样品批次编号,并归档原始附件;还可选接入飞书群消息或 Obsidian。
使用Python或R创建、修改并导出论文科学图,检查多面板对齐、文字和元素重叠。也可制作可编辑的矢量示意图,以及经明确要求生成的图形摘要。