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Latex Scaffold

Community
WILLOSCAR
latex-scaffold

Scaffold a LaTeX project (`latex/main.tex`, optional bibliography wiring, structure) from an existing Markdown draft.

Overview

PublisherWILLOSCAR
Repositoryresearch-units-pipeline-skills
Skill namelatex-scaffold
Stars
513
Forks
39
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Latex Scaffold 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/latex-scaffold
  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/WILLOSCAR/research-units-pipeline-skills.git /tmp/research-units-pipeline-skills
mkdir -p .claude/skills
cp -r /tmp/research-units-pipeline-skills/.codex/skills/latex-scaffold .claude/skills/latex-scaffold
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Latex Scaffold 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 Scaffold 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 Scaffold 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 Scaffold

Triggers & routing

  • Trigger: latex scaffold, md→tex, LaTeX 项目骨架, 生成 main.tex.
  • Use when: 需要 LaTeX/PDF 交付(例如 arxiv-survey-latex pipeline),且 draft 已生成/已进入写作阶段。

Convert the approved Markdown draft into a minimal, buildable LaTeX project.

This is a deterministic conversion step; prose quality should already be addressed in output/DRAFT.md.

Inputs

  • output/DRAFT.md or output/TUTORIAL.md
  • optional: citations/ref.bib

Outputs

  • latex/main.tex (and any required LaTeX support files)

Layout policy

The machine-readable layout contract lives in assets/layout_profiles.json. The default profile uses a 1in A4 margin, includes a table of contents, and may split large tables. The bounded course_paper profile uses a documented 0.9in A4 margin, omits the table of contents, keeps a compact table whole when possible, and sets only the bibliography in \small. Body text remains 11pt. This profile is intended to respect an explicit page range, not to manufacture substantive completeness by shrinking the paper.

Workflow

  1. Create latex/ directory if missing.
  2. Create latex/main.tex with sections matching the outline.
  3. Wire bibliography to citations/ref.bib when that file exists.

Quality checklist

  • latex/main.tex exists.
  • If citations/ref.bib exists, latex/main.tex references it.

Script

Quick Start

  • uv run python .codex/skills/latex-scaffold/scripts/run.py --help
  • uv run python .codex/skills/latex-scaffold/scripts/run.py --workspace <workspace>

All Options

  • See --help (inputs/outputs are taken from the unit runner when used via pipeline)

Examples

  • Build latex/main.tex from output/DRAFT.md or output/TUTORIAL.md:
    • uv run python .codex/skills/latex-scaffold/scripts/run.py --workspace <workspace>

Notes

  • The generated latex/main.tex includes a table of contents (tocdepth=2) for readability.
  • The course_paper profile omits that table of contents according to assets/layout_profiles.json; other profiles include it by default.
  • Language default: the scaffold uses article (English-looking front matter). If the draft contains CJK characters, it switches to ctexart so the PDF renders correctly.
  • Conversion rules (high level):
    • Headings ##/###/#### → \section/\subsection/\subsubsection (strips leading numeric prefixes like 1.2).
    • Headings starting with Appendix / 附录 trigger \appendix once, then render as appendix sections.
    • Bold caption lines like **Table 1. ...** / **Appendix Table A1. ...** immediately before a Markdown table become a LaTeX table float with \caption{...} and a stable \label{tab:...}.
    • ## Abstract → abstract environment.
    • [@Key] or [@Key1; @Key2] → \citep{Key} / \citep{Key1,Key2}.
    • Inline markdown **bold** / *italic* / `code` → \textbf{} / \emph{} / \texttt{}.

Troubleshooting

Issue: the generated latex/main.tex still contains Markdown markers

Fix:

  • Re-run latex-scaffold and ensure the input output/DRAFT.md is clean (no ##, no **, no [@...] syntax that isn""t handled).

Issue: citations are missing in LaTeX

Fix:

  • Ensure citations/ref.bib exists and the scaffold points bibliography to it; then compile with latex-compile-qa.

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 Scaffold AI skill do?

Scaffold a LaTeX project (`latex/main.tex`, optional bibliography wiring, structure) from an existing Markdown draft.

Why use Latex Scaffold on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/latex-scaffold. 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 Scaffold?

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 Scaffold?

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

Is the Latex Scaffold AI skill free?

It is published on GitHub by WILLOSCAR. 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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