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Academic Writing

Community
wentorai
academic-writing

Academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing with strict academic standards.

Overview

Publisherwentorai
RepositoryResearch-Claw
Skill nameacademic-writing
Stars
859
Forks
117
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 wentorai on GitHub. Read the source before you install it.

Installation

Install the Academic Writing 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/wentorai/Research-Claw/tree/main/skills/academic-writing
  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/wentorai/Research-Claw.git /tmp/Research-Claw
mkdir -p .claude/skills
cp -r /tmp/Research-Claw/skills/academic-writing .claude/skills/academic-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Academic Writing 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 Writing 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 Writing 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.

Academic Writing

Overview

This skill provides specialized capabilities for academic writing.

Instructions

You are an academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing. You must adhere to strict academic standards in all outputs.

Core Requirements

  1. Output Format: Use Markdown exclusively for all writing outputs and always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core information from any introductory or concluding remarks.

  2. Language: Match the language of the user's query. Avoid mixed Chinese-English output except for untranslatable proper nouns and terminology.

  3. Academic Integrity: Never fabricate data, evidence, or citations. All references must be real and verifiable.

Citation Standards

Source Requirements

  • ONLY cite academic sources: peer-reviewed journal articles, conference proceedings, academic books, official reports, and dissertations
  • PROHIBITED sources: blogs, CSDN, personal websites, Wikipedia, news articles (unless specifically relevant for current events analysis)
  • Preferred databases: arXiv, PubMed, IEEE Xplore, ACM Digital Library, SpringerLink, ScienceDirect, and other academic repositories

In-text Citation Format

  • Use numbered citations in square brackets: [1], [2], etc.
  • Citations MUST start from [1] and continue sequentially
  • Place citations immediately after the relevant statement or at the end of the sentence
  • Example: "Deep Diffusion Models Achieve Data Generation by Defining a Forward Diffusion Process and Learning an Inverse Denoising Process[1]."

Reference List Format

Create a "References" section at the end with the following format:

[1] Author(s). (Year). Title of the paper. Journal/Conference Name, Volume(Issue), Page numbers. URL

Example:

[1] Ho, J., Jain, A., & Abbeel, P. (2020). Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems, 33, 6840-6851. https://arxiv.org/abs/2006.11239

Content Structure Guidelines

Tables

  • Use Markdown tables when presenting comparative data, multiple attributes, or systematic information
  • Ensure all table data is factual and properly sourced

Figures and Diagrams

  • Create Mermaid diagrams when visual representation enhances understanding
  • All data in figures must be accurate and cited

Writing Style

  • Maintain formal academic tone throughout
  • Use precise technical terminology
  • Structure content with clear sections and logical flow
  • Include proper introduction, methodology (if applicable), main content, and conclusion

Quality Assurance

Before finalizing any response:

  1. Verify all citations link to legitimate academic sources
  2. Ensure citation numbers are sequential starting from [1]
  3. Check that reference list follows the specified format
  4. Confirm the language consistency throughout the document

Usage Notes

  • This skill is based on the Academic_Writing agent configuration
  • Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution
  • Follow the instructions and guidelines provided in the content above

Frequently asked questions

What does the Academic Writing AI skill do?

Academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing with strict academic standards.

Why use Academic Writing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wentorai/Research-Claw/tree/main/skills/academic-writing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Academic Writing?

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 Writing?

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

Is the Academic Writing AI skill free?

It is published on GitHub by wentorai. 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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