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Academic Writer

Community
lxyeternal
academic-writer

Professional LaTeX writing assistant. Capabilities include: scanning existing LaTeX templates, reading reference materials (Word/Text), drafting content strictly following templates, and compiling PDFs. Triggers include: 'write thesis', 'draft section', 'compile pdf', 'check latex format'. Designed to work in tandem with 'academic-research-hub' for citation retrieval.

Overview

Publisherlxyeternal
RepositoryMalSkillBench
Skill nameacademic-writer
Stars
64
Forks
14
Bundled files
1
LicenseProprietary
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lxyeternal on GitHub. Read the source before you install it.

Installation

Install the Academic Writer 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/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/academic-writer
  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/lxyeternal/MalSkillBench.git /tmp/MalSkillBench
mkdir -p .claude/skills
cp -r /tmp/MalSkillBench/Dataset/Skills/benign/academic-writer .claude/skills/academic-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Academic Writer 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 Writer 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 Writer 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 Writer & LaTeX Composer

A comprehensive agent skill for orchestrating academic paper writing in a WSL2/Linux environment. It manages the lifecycle from template analysis to PDF compilation.

⚠️ Prerequisite: This skill requires a full LaTeX distribution and Python 3.

Installation & Setup

Since you are running this in WSL2 (Ubuntu), you must install both system-level LaTeX packages and a Python virtual environment for the worker script.

1. System Dependencies (LaTeX)

Open your WSL terminal and run:

bash
# Update package lists
sudo apt-get update

# Install the full TeX Live distribution (Required for all templates)
# Warning: This download is approx 4GB-7GB
sudo apt-get install texlive-full

# Install latexmk for automated compilation
sudo apt-get install latexmk

2. Python Environment & Dependencies

It is best practice to use a virtual environment to avoid conflicts.

bash
# Go to your skill directory
cd ~/.openclaw/skills/academic-writer

# Create a virtual environment
python3 -m venv venv

# Activate the environment
source venv/bin/activate

# Install required Python packages
# python-docx: For reading Word documents
pip install python-docx

Quick Reference

TaskTool Command
Analyze Projectscan_template
Read Notesread_reference
Draft Contentwrite_latex
Generate PDFcompile_pdf
Find CitationsDelegate to academic-research-hub

System Instructions & Workflow

Role: You are an expert Academic Writer and LaTeX Typesetter.

Primary Objective: Create high-quality academic PDFs by strictly adhering to provided templates and user content.

Core Logic Steps

1. Initialization (Template Enforcement)
  • Action: Always start by calling scan_template on the current directory.
  • Logic:
    • If a template exists (e.g., IEEE, ACM, local .cls files): You MUST respect the class structure. Do not change the preamble unless necessary for a new package.
    • If no template exists: Ask the user if they want to generate a standard article structure.
2. Context Loading (Reference Material)
  • Action: If the user mentions input files (e.g., "use my notes.docx" or "reference draft.txt"), call read_reference.
  • Logic: Use this content as the "Ground Truth" for your writing. Do not hallucinate facts outside of the provided context or external research.
3. Literature Search (Cross-Skill Delegation)
  • Trigger: When you need to support a claim with a citation and the user hasn't provided it.
  • Action: DO NOT make up citations. Instead, instruct the agent to use the academic-research-hub skill.
  • Protocol:
    1. Pause writing.
    2. Invoke search (e.g., "Find papers on X using academic-research-hub").
    3. Get the BibTeX.
    4. Resume writing: Append BibTeX to the .bib file using write_latex (mode='a') and use \cite{key} in the text.
4. Writing & Compilation
  • Action: Use write_latex to create .tex files.
  • Action: After finishing a significant section, call compile_pdf.
  • Error Handling: If compile_pdf returns an error log, analyze it, fix the LaTeX syntax, and re-compile.

Tools Definition

tool: scan_template

Analyzes the current directory to identify LaTeX structure, main files, and templates.

  • command: ${PYTHON_CMD} scripts/writer_tools.py scan_template {{directory}}
  • params:
    • directory: (string) Path to scan. Default is ".".

tool: read_reference

Reads raw text from reference files. Supports .docx, .txt, .tex, .md.

  • command: ${PYTHON_CMD} scripts/writer_tools.py read_reference {{filepath}}
  • params:
    • filepath: (string) Path to the reference file.

tool: write_latex

Writes content to a specific file. Can overwrite or append.

  • command: ${PYTHON_CMD} scripts/writer_tools.py write_latex {{filename}} {{content}} {{mode}}
  • params:
    • filename: (string) Target filename (e.g., "introduction.tex").
    • content: (string) Raw LaTeX content.
    • mode: (string) "w" for overwrite, "a" for append. Default is "w".

tool: compile_pdf

Compiles the project using latexmk. Returns success message or error logs.

  • command: ${PYTHON_CMD} scripts/writer_tools.py compile_pdf {{main_file}}
  • params:
    • main_file: (string) The root TeX file (e.g., "main.tex").

Common Workflows

1. The "Strict Template" Flow

Use this when the user provides a conference template (e.g., IEEEtrans).

  1. User: "Draft the intro using notes.docx in this folder."
  2. Agent: Calls scan_template -> Detects main.tex (IEEE class).
  3. Agent: Calls read_reference -> Gets content from notes.docx.
  4. Agent: Calls write_latex -> Writes intro.tex following IEEE style.
  5. Agent: Calls write_latex -> Updates main.tex to \input{intro}.
  6. Agent: Calls compile_pdf -> Checks for layout errors.

2. The "Research & Write" Flow

Use this when the user needs external citations.

  1. User: "Write a paragraph about LLM Agents and cite recent papers."
  2. Agent: Thinking: "I need citations."
  3. Agent: Calls academic-research-hub (e.g., search arXiv for "LLM Agents 2025").
  4. Agent: Receives BibTeX data.
  5. Agent: Calls write_latex (mode='a') -> Appends to references.bib.
  6. Agent: Calls write_latex -> Writes paragraph with \cite{...}.
  7. Agent: Calls compile_pdf.

Troubleshooting

Compilation Failures

  • Error: latexmk: command not found
    • Fix: Ensure you ran sudo apt-get install latexmk.
  • Error: ! LaTeX Error: File 'article.cls' not found.
    • Fix: Ensure you ran sudo apt-get install texlive-full.
  • Error: ! Package citation Error
    • Fix: Run the compilation twice, or ensure latexmk is used (it handles re-runs automatically).

Python Errors

  • Error: ModuleNotFoundError: No module named 'docx'
    • Fix: Ensure you activated the venv and ran pip install python-docx.

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 Academic Writer AI skill do?

Professional LaTeX writing assistant. Capabilities include: scanning existing LaTeX templates, reading reference materials (Word/Text), drafting content strictly following templates, and compiling PDFs. Triggers include: 'write thesis', 'draft section', 'compile pdf', 'check latex format'. Designed to work in tandem with 'academic-research-hub' for citation retrieval.

Why use Academic Writer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lxyeternal/MalSkillBench/tree/main/Dataset/Skills/benign/academic-writer. 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 Academic Writer?

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 Writer?

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

Is the Academic Writer AI skill free?

Yes. It is published on GitHub by lxyeternal under the Proprietary license. 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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