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Paper Compilation

Community
lingzhi227
paper-compilation

Compile LaTeX papers to PDF with automatic error detection, chktex style checking, and citation/reference validation. Runs the full pdflatex + bibtex pipeline. Use when the user wants to compile a paper, fix compilation errors, or debug LaTeX.

Overview

Publisherlingzhi227
Repositoryagent-research-skills
Skill namepaper-compilation
Stars
426
Forks
46
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 lingzhi227 on GitHub. Read the source before you install it.

Installation

Install the Paper Compilation 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/lingzhi227/agent-research-skills/tree/main/skills/paper-compilation
  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/lingzhi227/agent-research-skills.git /tmp/agent-research-skills
mkdir -p .claude/skills
cp -r /tmp/agent-research-skills/skills/paper-compilation .claude/skills/paper-compilation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper Compilation 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 Paper Compilation 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 Paper Compilation 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.

Paper Compilation

Compile a LaTeX paper to PDF with error detection and correction.

Input

  • $ARGUMENTS — Path to the main .tex file

Scripts

Compile paper

bash
python ~/.claude/skills/paper-compilation/scripts/compile_paper.py paper/main.tex
python ~/.claude/skills/paper-compilation/scripts/compile_paper.py paper/main.tex --check-style
python ~/.claude/skills/paper-compilation/scripts/compile_paper.py paper/main.tex --output paper/output.pdf

Reports: compilation status, page count, warnings, citation/reference stats, style issues.

Validate citations before compiling

bash
python ~/.claude/skills/citation-management/scripts/validate_citations.py \
  --tex paper/main.tex --bib paper/references.bib --check-figures --figures-dir paper/figures/

Auto-fix LaTeX errors

bash
python ~/.claude/skills/paper-compilation/scripts/fix_latex_errors.py \
  --tex paper/main.tex --log compile.log --output paper/main_fixed.tex

Fixes: HTML tags in LaTeX, mismatched environments, missing figures. Key flags: --dry-run, --auto-detect

Compile with auto-fix retry

bash
python ~/.claude/skills/paper-compilation/scripts/compile_paper.py paper/main.tex --auto-fix

Runs fix_latex_errors.py + recompile up to 3 rounds until compilation succeeds.

Workflow

Step 1: Pre-Compilation Validation

Run validate_citations.py to catch issues before compiling:

  • Every \cite{key} has a matching .bib entry
  • Every \includegraphics{file} exists
  • No duplicate labels or sections

Step 2: Compile

Run compile_paper.py which executes: pdflatex → bibtex → pdflatex → pdflatex

Step 3: Error Correction Loop (up to 5 rounds)

If compilation fails, read the error output and fix:

  • ! Undefined control sequence → Add missing package or fix typo
  • ! Missing $ inserted → Wrap math in $...$
  • ! Missing } inserted → Fix unmatched brace
  • Citation 'key' undefined → Add to .bib or fix \cite
  • </end{figure}> → Replace with \end{figure} (HTML syntax in LaTeX)

Apply minimal fixes. Do not remove packages unnecessarily. Recompile after each fix.

Step 4: Post-Compilation Report

Check: page count vs venue limit, remaining warnings, chktex style issues.

Troubleshooting

pdflatex not found

bash
# macOS
brew install --cask mactex-no-gui
# Ubuntu
sudo apt install texlive-full

Alternative: latexmk (auto-handles multiple passes)

bash
latexmk -pdf -interaction=nonstopmode main.tex

Related Skills

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 Paper Compilation AI skill do?

Compile LaTeX papers to PDF with automatic error detection, chktex style checking, and citation/reference validation. Runs the full pdflatex + bibtex pipeline. Use when the user wants to compile a paper, fix compilation errors, or debug LaTeX.

Why use Paper Compilation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lingzhi227/agent-research-skills/tree/main/skills/paper-compilation. 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 Paper Compilation?

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 Paper Compilation?

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

Is the Paper Compilation AI skill free?

It is published on GitHub by lingzhi227. 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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