Nsfc Literature

Community

njzjz

nsfc-literature

NSFC申请书文献检索与引用生成。使用OpenAlex API免费搜索学术文献，使用wenxian生成标准引用格式。

Overview

Publisher	njzjz
Repository	`nsfc-agent-skills`
Skill name	`nsfc-literature`
Stars	662
Forks	80
Bundled files	2
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by njzjz on GitHub. Read the source before you install it.

Installation

Install the Nsfc Literature AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/njzjz/nsfc-agent-skills/tree/master/nsfc-literature
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/njzjz/nsfc-agent-skills.git /tmp/nsfc-agent-skills
mkdir -p .claude/skills
cp -r /tmp/nsfc-agent-skills/nsfc-literature .claude/skills/nsfc-literature

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nsfc Literature in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nsfc Literature on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nsfc Literature is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NSFC 申请书文献检索与引用生成

文献在申请书中的要求

参考文献约30条，以近5年为主
CNS等权威期刊优先
国际文献为主 + 国内文献为辅 + 自己的工作（可高亮）
不要遗漏领域关键文献（评审人会注意）
格式必须统一规范
有当年文献加分
勿缺失关键参考文献

文献检索

OpenAlex API（免费，无需API key）

脚本：scripts/search_literature.py

基本用法：

bash
# 搜索关键词，按引用数排序
uv run scripts/search_literature.py "machine learning potential" --limit 20 --sort cited_by_count

# 搜索近3年的文献
uv run scripts/search_literature.py "deep learning molecular dynamics" --year-from 2023

# 按发表日期排序（找最新文献）
uv run scripts/search_literature.py "neural network force field" --sort publication_date

# 紧凑输出（每篇一行）
uv run scripts/search_literature.py "density functional theory" --compact

返回信息：标题、作者、期刊、年份、DOI、引用数、摘要

搜索策略建议：

先用宽泛关键词搜索了解领域全貌
再用精确关键词搜索特定方向
关注高引论文（领域经典）和最新论文（前沿动态）
检查是否遗漏领域大牛的工作
搜索中文关键词时可能需要用英文替代

引用生成

wenxian

wenxian 是一个学术引用生成工具，支持从 DOI、PMID、arXiv ID 等标识符生成标准引用格式。

脚本：scripts/generate_references.py

用法：

bash
# 从DOI列表文件生成BibTeX引用
uv run scripts/generate_references.py refs.txt --format bibtex

# 生成纯文本引用
uv run scripts/generate_references.py refs.txt --format text

# 输出到文件
uv run scripts/generate_references.py refs.txt --format bibtex --output refs.bib

refs.txt 格式（每行一个标识符）：


10.1103/PhysRevLett.120.143001
10.1038/s41586-020-2242-8
arXiv:2304.09423

NSFC引用格式

NSFC申请书通常使用编号引用格式 [1], [2], ...

格式示例：


[1] 作者1, 作者2, 等. 标题. 期刊, 卷(期): 起始页-结束页, 年份.
[2] Author1, Author2, et al. Title. Journal, Volume(Issue): Pages, Year.

注意：

所有文献格式必须统一（姓名顺序、期刊缩写等）
建议手动录入基金委成果系统保持格式一致
自己的文献可以加粗或用其他方式高亮

完整工作流程


1. 确定研究方向和关键词
        ↓
2. 用 search_literature.py 搜索相关文献
        ↓
3. 筛选 ~30 条最相关的文献
   - 高引经典 + 近年前沿 + 自己的工作
        ↓
4. 收集所有 DOI，写入 refs.txt
        ↓
5. 用 generate_references.py 生成标准引用
        ↓
6. 检查格式统一性
        ↓
7. 确认没有遗漏关键文献

常见问题

搜索不到文献？

尝试不同的关键词组合
使用英文关键词
检查拼写
OpenAlex覆盖面广但不是100%，可辅以Google Scholar

wenxian报错？

确认 uvx 已安装（uv 的一部分）
确认DOI格式正确（如 10.1038/s41586-020-2242-8）
部分API可能需要网络代理，请根据本地环境配置

格式不统一？

使用同一工具生成所有引用
手动检查并统一姓名顺序、期刊缩写
建议最后统一校对一遍

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nsfc Literature AI skill do?

NSFC申请书文献检索与引用生成。使用OpenAlex API免费搜索学术文献，使用wenxian生成标准引用格式。

Why use Nsfc Literature on TypingMind?

Because you install it once and use it with any model. Nsfc Literature is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nsfc Literature in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/njzjz/nsfc-agent-skills/tree/master/nsfc-literature. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nsfc Literature?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nsfc Literature?

As many as you like. As long as a model supports skills, you can use Nsfc Literature with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nsfc Literature AI skill free?

It is published on GitHub by njzjz. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Agent Transcript

Requested GitHub PR/issue agent transcripts: redact, trim, preview, and insert safely.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

NSFC 申请书文献检索与引用生成

文献在申请书中的要求

文献检索

OpenAlex API（免费，无需API key）

引用生成

wenxian

NSFC引用格式

完整工作流程

常见问题

搜索不到文献？

wenxian报错？

格式不统一？

Bundled files

Frequently asked questions

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