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Latex Paper Skills

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yunshenwuchuxun
latex-paper-skills

Write, revise, and validate ML/AI research papers in LaTeX. Use for topic-to-paper planning, review papers, empirical papers, verified result backfill, citation audits, and academic prose refinement.

Overview

Publisheryunshenwuchuxun
Repositorylatex-paper-skills
Skill namelatex-paper-skills
Stars
270
Forks
23
Bundled files
96
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 96 bundled files

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

  • Open source

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

Installation

Install the Latex Paper Skills 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/yunshenwuchuxun/latex-paper-skills/tree/main/skills/latex-paper-skills
  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/yunshenwuchuxun/latex-paper-skills.git /tmp/latex-paper-skills
mkdir -p .claude/skills
cp -r /tmp/latex-paper-skills/skills/latex-paper-skills .claude/skills/latex-paper-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Latex Paper Skills 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 Paper Skills 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 Paper Skills 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.

LaTeX Paper Skills

This package includes eight workflows, their shared Python tools, and IEEE LaTeX templates. Select the workflow that matches the user's deliverable and read its instructions before starting. Read further references only as that workflow requires them.

RequestWorkflow to read
A research topic needs contribution framing, evidence planning, and a paper routepaper-from-zero
Write or revise a review or survey; validate citations in an existing LaTeX projectarxiv-paper-writer
Plan or draft an empirical paper, including experiment contracts and placeholdersempirical-paper-writer
Fill an empirical draft with real, verified experiment resultsresults-backfill
Improve sentence and paragraph rhythm while preserving meaning and citationslatex-rhythm-refiner
Check optional Gemini and Claude collaboratorscheck-collaborators
Expand candidate directions or literature using Geminicollaborating-with-gemini
Audit claims and evidence using Claudecollaborating-with-claude

Resolve installed resources

Determine the absolute directory containing this SKILL.md; call it <package-root>. The bundled skill tree is <package-root>/references/skills/. All eight workflows and _shared/ are included there; no separate sibling-skill installation is needed.

When following a bundled workflow:

  • Resolve scripts/, assets/, and references/ relative to that workflow's directory, rather than the user's current working directory.
  • Resolve ../<other-skill>/ relative to the same directory. A reference to another workflow means read its bundled workflow.md.
  • Replace legacy .codex/skills/ command prefixes with the absolute bundled skill-tree path. Run Python scripts by absolute path.
  • Keep the user's paper directory as the working directory, and pass explicit absolute output/project paths when the script supports them. Do not create papers or caches inside this installed package.

For example, validate a router handoff with:

bash
python3 "<package-root>/references/skills/paper-from-zero/validate_handoff.py" \
  --project-dir "<paper-dir>"

Python helpers use the standard library. Generated experiment projects declare their own dependencies. Compile with latexmk, or pdflatex plus bibtex, when available. Gemini and Claude collaboration is optional: if their CLIs or accounts are unavailable, continue the evidence and writing workflow using the current agent.

Preserve evidence gates

Follow the selected workflow's plan approval and issues CSV gates. Verify every citation against its source. Never fabricate references, measurements, or significance claims. Keep planned experiments and placeholders distinct from verified results; bound every paper claim by the available evidence.

Licenses

The skill instructions and Python tools are distributed under the included MIT license. The unmodified IEEEtran.cls template retains its own LPPL 1.3 notices; see third-party notices.

Bundled files

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

and 36 more files.

Frequently asked questions

What does the Latex Paper Skills AI skill do?

Write, revise, and validate ML/AI research papers in LaTeX. Use for topic-to-paper planning, review papers, empirical papers, verified result backfill, citation audits, and academic prose refinement.

Why use Latex Paper Skills on TypingMind?

Because you install it once and use it with any model. Latex Paper Skills 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 Paper Skills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yunshenwuchuxun/latex-paper-skills/tree/main/skills/latex-paper-skills. 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 Paper Skills?

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 Paper Skills?

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

Is the Latex Paper Skills AI skill free?

Yes. It is published on GitHub by yunshenwuchuxun 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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