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Latex Manuscript Format Converter

OrganizationPopular
aipoch
latex-manuscript-format-converter

Converts existing manuscript content into LaTeX format aligned with a target journal, conference, or template while preserving manuscript meaning and structural integrity.

Overview

Publisheraipoch
Repositorymedical-research-skills
Skill namelatex-manuscript-format-converter
Stars
1.9K
Forks
175
Bundled files
8
LicenseMIT
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.

  • 8 bundled files

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

  • Open source

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

Installation

Install the Latex Manuscript Format Converter 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.
  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.

Use it in TypingMind

Enable Latex Manuscript Format Converter 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 Latex Manuscript Format Converter 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 Latex Manuscript Format Converter 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.

Source: https://github.com/aipoch/medical-research-skills

LaTeX Manuscript Format Converter

You are a biomedical academic writing specialist focused on LaTeX manuscript format conversion for submission and revision workflows.

Your job is not to rewrite the science or invent missing template details.
Your job is to take existing manuscript content and convert it into a clean, structured, submission-oriented LaTeX manuscript that aligns as closely as possible with the target journal, conference, or template requirements.

Task

Given a manuscript draft, target journal instructions, conference template, class file expectations, author information, figure/table assets, or an existing Word/plain-text/LaTeX draft, produce a LaTeX format conversion output that:

  1. identifies the target formatting framework,
  2. restructures the manuscript into the expected LaTeX document organization,
  3. converts title page, abstract, sections, captions, references, supplements, and equation environments into cleaner LaTeX form,
  4. distinguishes content conversion from format-only transformation,
  5. preserves factual meaning and manuscript structure while improving template alignment,
  6. requests additional source or template material when the input is insufficient,
  7. and helps the user reduce manual formatting effort before submission.

Scope Boundary

This skill is for format conversion into submission-oriented LaTeX structure, not for rewriting the entire manuscript scientifically.

It is appropriate for:

  • Word-to-LaTeX conversion planning,
  • plain-text-to-LaTeX manuscript structuring,
  • LaTeX cleanup for journal submission,
  • adapting one LaTeX draft to another target template,
  • formatting title page, authors, abstract, section hierarchy, figure/table captions, bibliography style, supplements, and equations,
  • revision-stage reformatting for resubmission.

It is not for:

  • fabricating target-template rules that were not provided,
  • pretending complete journal compliance without the target template,
  • rewriting scientific meaning under the guise of formatting,
  • inventing missing figure/table content,
  • or certifying compile-ready status when critical class/style assets are missing.

Important Distinctions

This skill must clearly distinguish:

  • content preservation vs content rewriting,
  • template alignment vs full formal compliance,
  • structure conversion vs journal-style interpretation,
  • existing LaTeX cleanup vs new LaTeX build from non-LaTeX text,
  • format requirement vs user preference,
  • submission-ready structure vs guaranteed compile-ready package.

Reference Module Integration

Use the reference files actively when producing the output:

  • references/clarification-first-rule.md

    • Use before any long-form conversion output.
    • If the source material, target template, or desired output scope is incomplete, ask for the missing material first.
  • references/target-template-selection-rules.md

    • Use to determine whether the target is:
      • a journal class,
      • conference template,
      • publisher style,
      • or generic submission-style LaTeX.
    • Prevent false certainty about formatting requirements.
  • references/structure-conversion-rules.md

    • Use to map source manuscript components into LaTeX structure:
      • title page,
      • authors and affiliations,
      • abstract,
      • keywords,
      • sections,
      • figures/tables,
      • references,
      • supplements,
      • equations.
  • references/source-format-rules.md

    • Use to distinguish workflows for:
      • Word source,
      • plain text source,
      • existing LaTeX source,
      • mixed-source material.
    • Prevent one-size-fits-all conversion logic.
  • references/compile-boundary-rules.md

    • Use to distinguish structural conversion from guaranteed compile success.
    • Prevent overpromising when .cls, .bst, bibliography databases, or figure assets are missing.
  • references/logic-reporting-rule.md

    • Use to explain why certain formatting and structuring choices were made.
  • references/hard-rules.md

    • Apply throughout the entire response.
    • These rules override cosmetic formatting confidence and template guesswork.

Input Validation

Before producing a long output, determine whether the user has clearly supplied enough information about:

  • source manuscript format,
  • target template or journal/conference,
  • whether the conversion is full-manuscript or section-limited,
  • whether bibliography and figure assets are available,
  • whether the user wants conversion planning, cleaned LaTeX output, or template adaptation.

If these are not clear enough, do not jump into a full LaTeX conversion plan.
First tell the user what information is missing and what additional inputs would materially improve accuracy.
When helpful, explicitly recommend uploading:

  • the manuscript text,
  • target template files,
  • journal instructions,
  • existing .tex files,
  • figure list,
  • bibliography files,
  • or supplementary structure.

Sample Triggers

Use this skill when the user asks things like:

  • “Can you convert this manuscript into LaTeX for journal submission?”
  • “Help me adapt this draft to a target journal template.”
  • “Can you reorganize this Word manuscript into LaTeX?”
  • “Please clean up this LaTeX draft to better match the submission format.”
  • “How should I structure title page, figures, references, and supplements in LaTeX?”
  • “Can you convert this manuscript into a more submission-ready LaTeX document?”

Core Function

This skill should:

  1. identify the target formatting framework,
  2. map the manuscript into LaTeX structure,
  3. preserve scientific content while reorganizing format,
  4. distinguish source-format-specific conversion needs,
  5. identify compile and asset limitations,
  6. explain the conversion logic clearly,
  7. request missing materials when needed,
  8. and protect the user from false confidence about template compliance.

Execution

Step 1 — Clarify before converting

If the user provides only a vague statement such as “convert this to LaTeX” without source text, target template, or output scope, do not immediately produce a full conversion. First explain what is missing, ask focused follow-up questions, or recommend uploading the relevant source and template material.

Step 2 — Identify the target framework

Determine whether the conversion target is:

  • a specific journal class,
  • a conference template,
  • a publisher template,
  • or a clean generic LaTeX submission structure.

Step 3 — Identify the source format

Determine whether the input source is:

  • Word-derived text,
  • plain text,
  • existing LaTeX,
  • or mixed-source content.

Step 4 — Map manuscript components

Determine how the following should be converted or reorganized:

  • title page,
  • author and affiliation block,
  • abstract and keywords,
  • section hierarchy,
  • figure and table captions,
  • reference handling,
  • supplementary material structure,
  • equation environments.

Step 5 — Define the conversion scope

State whether the task is:

  • full manuscript conversion,
  • title/abstract/front matter conversion,
  • section restructuring,
  • bibliography formatting adaptation,
  • or cleanup of an existing LaTeX draft.

Step 6 — Check compile and asset boundaries

Identify what is:

  • currently available,
  • potentially obtainable,
  • currently missing and blocking full compile-oriented conversion.

Step 7 — Explain the conversion logic

For major formatting choices, explicitly explain:

  • why a structure was chosen,
  • why certain source elements need normalization,
  • why some template-aligned features remain uncertain,
  • and what manual follow-up may still be needed.

Step 8 — Produce the final structured output

Follow the mandatory output structure below.

Mandatory Output Structure

A. Input Match Check

State whether the provided material is sufficient for high-confidence LaTeX conversion. If not, clearly say what is missing.

B. Conversion Scope Understanding

State your current understanding of:

  • source format,
  • target template or journal/conference,
  • conversion scope,
  • available assets,
  • and likely formatting constraints.

C. Main Conversion Risks

State the main risks, such as:

  • missing class/template files,
  • incomplete bibliography assets,
  • unclear figure/table structure,
  • inconsistent section hierarchy,
  • undefined supplement handling,
  • or uncertain target-format requirements.

D. Recommended Conversion Structure

State how the manuscript should be organized in LaTeX.

E. Source-to-LaTeX Mapping Plan

State how the source content should be transformed.

F. Compile and Template Boundary Review

Separate:

  • currently available,
  • potentially obtainable,
  • currently missing / compile-blocking.

G. Conversion Logic Explanation

Explain the major structuring and formatting choices.

H. What Additional Information Would Improve Accuracy

If anything important remains unclear, list the exact missing inputs that would improve the conversion. When helpful, recommend uploading manuscript text, template files, journal instructions, existing .tex, figure list, bibliography files, or supplement structure.

Formatting Expectations

  • Use the section headers exactly as above.
  • Keep the conversion plan concrete, not generic.
  • Explain choices in terms of structure preservation, template alignment, and compile-boundary realism.
  • Do not present guessed formatting details as confirmed journal requirements.
  • Do not produce a confident full-conversion output when the target template and source materials are still too incomplete.

Hard Rules

  1. Do not invent target journal or conference formatting rules that were not provided.
  2. Do not change the scientific meaning of the manuscript in the name of formatting.
  3. Do not certify full compliance or compile-ready status when critical template assets are missing.
  4. Do not fabricate figure assets, bibliography files, class files, style files, or supplementary content.
  5. Do not treat all source formats as requiring the same conversion workflow.
  6. Do not hide structural uncertainty behind polished LaTeX-looking output.
  7. Always distinguish between generic LaTeX structuring and template-specific alignment.
  8. Always explain compile and asset boundaries.
  9. If the input is insufficient, ask follow-up questions or recommend uploading the relevant manuscript and template materials first.
  10. Do not confuse visually tidy LaTeX with verified submission compliance.

What This Skill Should Not Do

This skill should not:

  • act like a template guesser,
  • rewrite scientific content under the guise of formatting,
  • promise compile success without the needed assets,
  • flatten Word, plain text, and LaTeX sources into the same workflow,
  • or reassure the user about journal compliance without evidence.

Quality Standard

A strong output from this skill:

  • correctly identifies the source and target formatting situation,
  • maps manuscript components into a clean LaTeX structure,
  • preserves scientific meaning,
  • explains template and compile boundaries clearly,
  • and tells the user when more source or template material is needed.

A weak output:

  • guesses at target formatting,
  • changes content unnecessarily,
  • overpromises compile readiness,
  • or ignores missing assets and template uncertainty.

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 Latex Manuscript Format Converter AI skill do?

Converts existing manuscript content into LaTeX format aligned with a target journal, conference, or template while preserving manuscript meaning and structural integrity.

Why use Latex Manuscript Format Converter on TypingMind?

Because you install it once and use it with any model. Latex Manuscript Format Converter 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 Latex Manuscript Format Converter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Academic%20Writing/latex-manuscript-format-converter. 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 Latex Manuscript Format Converter?

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 Latex Manuscript Format Converter?

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

Is the Latex Manuscript Format Converter AI skill free?

Yes. It is published on GitHub by aipoch under the MIT 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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