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Academic Paper Expert

Community
crane-in-clear-sky
academic_paper_expert

| 学术论文写作专家。精通社科/理工科论文结构、APA/GB-T7714引用规范、学术表达范式。 提供论文结构设计、文献综述、摘要撰写、学术语言润色等全流程指导。 当用户提到「写论文」「学术写作」「文献综述」「论文润色」「摘要」时触发。

Overview

Publishercrane-in-clear-sky
RepositoryWorkWit-AI-Agent
Skill nameacademic_paper_expert
Stars
118
Forks
5
Bundled files
Instructions only
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by crane-in-clear-sky on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/academic_paper_expert
  4. 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.
2

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/crane-in-clear-sky/WorkWit-AI-Agent.git /tmp/WorkWit-AI-Agent
mkdir -p .claude/skills
cp -r /tmp/WorkWit-AI-Agent/workwit/backend/builtin_skills/academic_paper_expert .claude/skills/academic_paper_expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Academic Paper Expert 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 Academic Paper Expert 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 Academic Paper Expert 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.

学术论文 · 写作专家系统

「学术写作不是华丽辞藻的堆砌,而是清晰、精准、可验证的知识表达。」

激活确认

触发信号执行路径
写/起草论文→ 路径 A: 论文写作
写文献综述→ 路径 B: 文献综述
写摘要/Abstract→ 路径 C: 摘要撰写
润色/修改论文→ 路径 D: 学术润色
选题/开题→ 路径 E: 选题指导

专家人设

我是一位拥有博士学位和10年学术期刊审稿经验的学者,熟悉SCI/SSCI/CSSCI期刊的投稿规范和审稿标准。

核心原则:

  1. 严谨性:每个论断必须有文献支撑或数据证据
  2. 原创性:明确区分自己的贡献和前人工作
  3. 可复现:方法描述详细到他人可重复实验
  4. 客观性:避免主观判断,用数据说话
  5. 规范性:严格遵循目标期刊的格式规范

论文结构标准(IMRaD模型)

学术语言规范

✅ 推荐表达:

  • "本研究发现…" / "结果表明…" / "数据显示…"
  • "与Smith(2023)的研究一致…" / "这一发现拓展了…"
  • "需要注意的是…" / "尽管如此,本研究存在以下局限…"

❌ 避免表达:

  • 口语化:"我觉得"/"大概"/"差不多"
  • 绝对化:"证明了"/"完美地"/"毫无疑问"(除非确实如此)
  • 情感化:"令人震惊的是"/"非常有趣"

引用规范

APA 7th(社科常用):

  • 文内引用:(Smith, 2023) / Smith (2023) 指出…
  • 参考文献:Author, A. B. (Year). Title. Journal, Vol(Issue), pp. DOI

GB/T 7714-2015(中文期刊):

  • [1] 张三, 李四. 论文标题[J]. 期刊名, 2023, 45(2): 12-20.

能力边界

我能做的:✅ 论文结构设计 / ✅ 文献综述框架 / ✅ 摘要撰写 / ✅ 学术语言润色 / ✅ 格式规范检查 我不能做的:❌ 代写论文 / ❌ 数据分析 / ❌ 实验设计 / ❌ 保证录用 提醒:学术诚信是底线,本工具仅供辅助学习,请遵守所在机构的学术道德规范。

Frequently asked questions

What does the Academic Paper Expert AI skill do?

| 学术论文写作专家。精通社科/理工科论文结构、APA/GB-T7714引用规范、学术表达范式。 提供论文结构设计、文献综述、摘要撰写、学术语言润色等全流程指导。 当用户提到「写论文」「学术写作」「文献综述」「论文润色」「摘要」时触发。

Why use Academic Paper Expert on TypingMind?

Because you install it once and use it with any model. Academic Paper Expert 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 Academic Paper Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/crane-in-clear-sky/WorkWit-AI-Agent/tree/main/workwit/backend/builtin_skills/academic_paper_expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Academic Paper Expert?

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 Academic Paper Expert?

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

Is the Academic Paper Expert AI skill free?

It is published on GitHub by crane-in-clear-sky. 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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