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标准化实验日志记录——接收原始材料（图/语音/文字），产出带 YAML frontmatter 的标准日志到 Obsidian vault。需配合飞书 CLI 或手动输入使用。
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer profiling with citation-context extraction, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv, Scopus, ScienceDirect). Use for coordinated literature workflows beyond one MCP call, including 文献检索、 查文献、找文献、文献综述检索、查论文、引文核对、参考文献管理、文献去重、 严格他引、他引判定、排除自引、谁引用了我的文章、引用我的文章的人有没有大牛、 院士引用、校长引用、院长引用、杰青引用、长江学者引用、Fellow引用、文章引用表、 指定文章引用数、严格他引数、整理成表格.
Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range, and exporting one reference-manager-ready output by default. Use this skill whenever the user asks to input text and automatically get references, add citations to a paragraph/manuscript, find Nature-series or CNS support for statements, create text-to-reference correspondence, "分段引用", "自动给出引用", "Nature系列引用", "CNS及子刊", "支撑文献", "补引用", "找引用", or export EndNote/RIS/ENW/Zotero RDF. Also trigger on general academic-writing citation needs even without the word "Nature", such as adding references while writing a paper, finding sources/literature for a claim, building a reference list, citation/referencing for academic writing, and Chinese phrasings like 学术写作引用、写论文加引用、写paper找文献、加参考文献、配文献、引用文献、文献支撑.
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions. Also trigger on general academic-writing data needs even without the word "Nature", such as writing a data availability statement for any journal, code/data sharing sections, repository selection while writing a paper, and Chinese phrasings like 数据可用性声明、数据可用性、 数据共享、代码可用性、学术写作数据声明、写数据声明、数据存放、数据仓库选择.
Use this skill whenever the user wants to configure school/library access, reuse a logged-in Chrome institutional session, search library databases, download legitimate open-access or institution-authorized academic full text/PDFs, handle missing library permission, organize papers, or read PDFs and supporting information.
Submission-grade Nature/high-impact journal figure workflow for Python or R, plus optional OpenRouter GPT Image 2 manuscript schematic generation when the user explicitly asks for AI-generated graphical abstracts, concept schematics, mechanism diagrams, or paper schematic illustrations. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, figures4papers-style matplotlib plots, journal-ready SVG/PDF/TIFF outputs, or OpenRouter/API-generated schematic drafts, especially for Nature-family or other high-impact journals. Before plotting or image generation, define the figure's conclusion, evidence logic, export needs, and review risks. For plotting tasks, honor an explicit Python/R choice, otherwise reuse the saved nature-figure backend preference; if no preference exists, ask once whether the user prefers Python or R and save that answer for future calls. For explicit OpenRouter/GPT Image 2 schematic generation, do not ask Python or R; use the AI-schemat
Complete automated literature discovery pipeline: multi-source search → six-dimension scoring → fine reading → formatted delivery → archival. Combines a configurable engine with daily cron-driven application layer. Works with Feishu, Telegram, or any messaging platform.
| name | nature-experiment-log |
| description | 标准化实验日志记录——接收原始材料（图/语音/文字），产出带 YAML frontmatter 的标准日志到 Obsidian vault。需配合飞书 CLI 或手动输入使用。 |
| version | 1.0.0 |
| author | 十五 (JL Lab) |
| license | MIT |
| metadata | {"hermes":{"tags":["research","experiment","logging","feishu","obsidian","automation"],"related_skills":["nature-literature-pipeline","feishu-cli-integration"]}} |
用户通过以下任一方式提交实验原始材料时自动加载：
feishu-cli-integration 扫描需要配合 feishu-cli-integration skill 使用。确保：
im:message + im:resource + im:message.group_msgwiki/实验日志/{体系}/{类型}/{exp_id}.mdraw/experiments/YYYY.MM.DD_描述_EXPID/异常记录.md模糊信息（温度记不清、样品编号不明）主动询问，不猜测写入。
/vault/
├── raw/experiments/ ← 原始层（归档）
│ └── YYYY.MM.DD_描述_EXPID/
│ ├── 笔记.md
│ ├── 图片/
│ └── 语音/
│
wiki/实验日志/ ← 标准层（产出）
├── 实验索引.md
├── 异常记录.md
├── {体系A}/
│ ├── 实验类型1/
│ ├── 实验类型2/
│ └── ...
├── {体系B}/
│ └── ...
└── 公共/
└── 设备与试剂追踪.md
{体系代码}-{设备代码}-YYMMDD-{序号}
│ │ │ └─ 当日序号（001 起）
│ │ └─ 日期
│ └─ 设备代码（M=马弗炉, T=管式炉, E=电化学, G=手套箱, F=可控气氛炉, B=通用）
└─ 体系代码（自定义，如 CL / NO / OX / HY 等）
{体系代码}-{候选编号}-B{序号}
│ │ └─ 配盐批次序号
│ └─ 候选配方编号
└─ 体系代码
同一批样品跨多个实验时 sample_batch 保持一致，便于 dataview 追踪。
| 代码 | 设备 | 场景 |
|---|---|---|
| M | 马弗炉 | 热处理、浸泡腐蚀 |
| T | 管式炉 | 气氛控制、脱水、热稳定性 |
| E | 电化学工作站 | CV/SWV/EIS |
| G | 手套箱 | 配盐、称量、取样 |
| F | 可控气氛炉 | 精密气氛控制 |
| B | 通用 | 干燥、清洗、制样 |
按实际设备扩展。
本 skill 设计为与 Obsidian vault 配合使用。Obsidian 是一个基于本地 Markdown 文件的笔记系统，配合 Dataview 插件可实现实验数据的动态查询和仪表盘。
为什么用 Obsidian：
安装 skill 后需在 vault 中创建以下文件：
| 文件 | 模板 | 用途 |
|---|---|---|
实验日志/实验索引.md | templates/experiment-index.md | Dataview 查询仪表盘 |
实验日志/异常记录.md | templates/anomaly-log.md | 异常记录 |
实验日志/公共/设备与试剂追踪.md | templates/equipment-tracking.md | 设备与试剂追踪 |
将模板文件复制到你的 Obsidian vault 对应位置即可使用。
references/ 目录包含三个完整的实验日志示例，覆盖常见实验类型：
| 文件 | 实验类型 |
|---|---|
references/example-log.md | 材料腐蚀浸泡实验 |
references/example-electrochemical.md | 电化学表征（CV 窗口测试） |
references/example-thermal-stability.md | 热稳定性实验 |
每个示例均包含完整的 YAML frontmatter 和 Markdown 正文，可直接作为模板修改使用。
路径 B 使用 feishu-cli-integration skill：
lark-cli im +chat-messages-list --chat-id oc_*** --page-size 30 --sort asclark-cli im +messages-resources-download --message-id *** --file-key *** --type image --output <相对路径>--output 只接受相对路径，先 cd 到 raw/experiments/ 归档目录群 ID 和 bot 权限按 feishu-cli-integration skill 的配置获取。
wiki/实验日志/{体系}/ 下按需创建子目录| 文件 | 用途 |
|---|---|
references/example-log.md | 完整实验日志示例 |
wiki/实验日志/实验索引.md | Dataview 仪表盘 |
wiki/实验日志/异常记录.md | 异常记录格式 |
wiki/实验日志/公共/设备与试剂追踪.md | 设备、试剂追踪 |