Typst Papers (typst-paper)

Typst Papers (typst-paper)

Modern academic paper writing assistant with Typst.

Overview

The typst-paper skill provides comprehensive support for academic paper writing using Typst, a modern typesetting system that compiles in milliseconds. Supports both English and Chinese papers for major publication venues.

Key Features

• Lightning-fast compilation (millisecond-level vs LaTeX's seconds)
• Clean, intuitive syntax (easier learning curve than LaTeX)
• Real-time preview with watch mode
• Format checking with venue-specific rules
• Grammar analysis for English papers
• Academic expression optimization for both languages
• Chinese-to-English translation (Deep Learning, Time Series, Industrial Control)
• De-AI writing analysis for reducing AI-generated text traces
• Template support (IEEE, ACM, Springer, NeurIPS, etc.)

Environment Requirements

Installation:

# Using Cargo (Rust package manager)
cargo install typst-cli

# Using Homebrew (macOS)
brew install typst

# Using package manager (Linux)
sudo pacman -S typst  # Arch Linux

Verify installation:

typst --version

Using the Skill in Claude Code

This skill is designed to work with Claude Code and similar AI assistants. Simply mention the relevant trigger words in your conversation, and the assistant will activate the appropriate module.

Argument Conventions

Provide clear inputs in your request:

• Main .typ path (required for tool execution)
• Target scope (section/chapter or full document)
• Module choice (compile / format / grammar / template / etc.)

If any of these are missing or ambiguous, the assistant will ask for clarification instead of guessing.

Execution Guardrails

• Tools/scripts run only when you explicitly request execution.
• Operations that overwrite outputs require explicit confirmation.

Trigger Words

Example Usage

Compile your paper:

Please compile my Typst paper main.typ

Check grammar:

Can you check the grammar in my introduction section?

Translate to English:

Translate this Chinese text to academic English (Deep Learning domain):
本文提出了一种基于Transformer的方法...

Quick Examples by Module

Check format compliance for main.typ

Simplify long sentences in the introduction section

Improve academic tone in the abstract

Verify references.bib and check citations in main.typ

Reduce AI writing traces in the methods section

Provide an IEEE template setup for Typst

Compilation Module

Basic Commands

Usage Examples

# Basic compilation (recommended)
typst compile main.typ

# Watch mode (real-time preview)
typst watch main.typ

# Specify output directory
typst compile main.typ --output build/paper.pdf

# Export as PNG (for preview)
typst compile --format png main.typ

# View available fonts
typst fonts

# Use custom font path
typst compile --font-path ./fonts main.typ

Compilation Speed

• Typst compiles in milliseconds (vs LaTeX's seconds)
• Incremental compilation: only recompiles changed parts
• Perfect for real-time preview and rapid iteration

Chinese Support

// Chinese font configuration
#set text(
  font: ("Source Han Serif", "Noto Serif CJK SC"),
  lang: "zh",
  region: "cn"
)

Format Check Module

Checks

Typst Format Configuration

// Page setup
#set page(
  paper: "a4",  // or "us-letter"
  margin: (x: 2.5cm, y: 2.5cm)
)

// Text setup
#set text(
  font: "Times New Roman",
  size: 11pt,
  lang: "en"
)

// Paragraph setup
#set par(
  justify: true,
  leading: 0.65em,
  first-line-indent: 1.5em
)

// Heading setup
#set heading(numbering: "1.1")

Grammar Analysis Module

LLM-based grammar checking focusing on:

• Subject-verb agreement
• Article usage (a/an/the)
• Tense consistency (methods in past tense, results in present)
• Chinglish detection

Common Grammar Issues

Long Sentence Analysis Module

Trigger Conditions

• English: Sentences >50 words OR >3 clauses
• Chinese: Sentences >60 characters OR >3 clauses

Output Format

// Long sentence detected (Line 45, 67 words) [Severity: Minor] [Priority: P2]
// Main structure: [Subject + Verb + Object]
// Modifiers:
//   - [Relative clause] which...
//   - [Purpose clause] to...
// Suggested rewrite: [Simplified version]

Academic Expression Module

English Academic Expressions

Chinese Academic Expressions

Logic & Methodology Module

Ensure logical flow between paragraphs and strengthen methodological rigor in academic writing.

AXES Model for Paragraph Coherence

Transition Signals

Methodological Depth Checklist

• Each claim is supported by evidence (data, citation, or logical reasoning)
• Method choices are justified (why this approach over alternatives?)
• Limitations are acknowledged explicitly
• Assumptions are stated clearly
• Reproducibility details are sufficient (parameters, datasets, metrics)

Common Issues

Usage in Claude Code

Check logical coherence in my introduction section

Analyze methodological depth in the methods section

Add transition signals between paragraphs

Translation Module (Chinese → English)

Supported Domains

Translation Workflow

1. Domain Identification - Identify technical terms
2. Terminology Confirmation - Confirm translations
3. Translation with Annotations - Translate with notes
4. Chinglish Check - Detect and fix common errors
5. Academic Polish - Final review

Common Academic Phrases

Bibliography Module

Typst Bibliography Management

Method 1: Using BibTeX files

#bibliography("references.bib", style: "ieee")

Method 2: Using Hayagriva format

#bibliography("references.yml", style: "apa")

Supported Citation Styles

• ieee - IEEE numeric citations
• apa - APA author-year
• chicago-author-date - Chicago author-year
• mla - MLA humanities
• gb-7714-2015 - Chinese national standard

Citation Examples

// In-text citations
According to @smith2020, the method...
Recent studies @smith2020 @jones2021 show...

// Bibliography list
#bibliography("references.bib", style: "ieee")

# With online verification
python scripts/verify_bib.py references.bib --online
python scripts/verify_bib.py references.bib --online --email you@example.com

De-AI Polishing Module

Reduce AI writing traces while preserving Typst syntax and technical accuracy.

Input Requirements

1. Source type (required): Typst
2. Section (required): Abstract / Introduction / Related Work / Methods / Experiments / Results / Discussion / Conclusion
3. Source snippet (required): Paste directly with original indentation

Workflow

1. Syntax Structure Identification Preserve all Typst constructs:

• Functions: #set, #show, #let
• References: @cite, @ref, @label
• Math: $...$, $ ... $ (block-level)
• Markup: *bold*, _italic_, `code`
• Custom functions (unchanged by default)

2. AI Pattern Detection:

3. Text Rewriting (visible text only):

• Split long sentences (English >50 words, Chinese >50 characters)
• Adjust word order for natural flow
• Replace vague claims with specific statements
• Delete redundant phrases
• Add necessary subjects without introducing new facts

4. Output Generation:

// ============================================================
// DE-AI EDITING (Line 23 - Introduction)
// ============================================================
// Original: This method achieves significant performance improvement.
// Revised: The proposed method improves performance in the experiments.
//
// Changes:
// 1. Removed vague phrase: "significant" → deleted
// 2. Kept the claim without adding new metrics or baselines
//
// ⚠️ [PENDING VERIFICATION]: Add exact metrics/baselines only if supported by data
// ============================================================

= Introduction
The proposed method improves performance in the experiments...

Hard Constraints

• Never modify: @cite, @ref, @label, math environments
• Never add: new data, metrics, comparisons, contributions, experimental settings, citation numbers
• Only modify: visible paragraph text, section titles

Section-Specific Guidelines

Template Configuration Module

Template examples are maintained in:

• references/TEMPLATES.md

Venue-Specific Rules

IEEE

• Two-column format, 0.33 inch column gap
• Times New Roman 10pt
• Active voice, methods in past tense
• Figure/table numbering: Fig. 1, Table I

ACM

• Two-column format, A4 or US Letter
• Present tense for general truths
• Citation format: numeric or author-year

Springer

• Figure captions below, table captions above
• References in alphabetical order

NeurIPS/ICML

• 8-page limit (excluding references)
• Anonymous submission (double-blind review)
• Specific formatting requirements

Typst Advantages

vs LaTeX

Use Cases

• ✅ Rapid prototyping and drafts
• ✅ Documents requiring frequent modifications
• ✅ Team collaboration (simple syntax)
• ✅ Small to medium papers (<100 pages)
• ⚠️ Complex mathematical formulas (LaTeX more mature)
• ⚠️ Specific journal templates (may require LaTeX)

Quick Start

Install Typst:

# Using Cargo (Rust package manager)
cargo install typst-cli

# Using Homebrew (macOS)
brew install typst

# Using package manager (Linux)
sudo pacman -S typst  # Arch Linux

Create your first paper:

# Initialize from template
typst init @preview/charged-ieee

# Compile
typst compile main.typ

# Watch mode (recommended)
typst watch main.typ

Common commands:

# View help
typst --help

# View available fonts
typst fonts

# Specify output format
typst compile --format png main.typ

# Use custom fonts
typst compile --font-path ./fonts main.typ

Reference Files

• references/TYPST_SYNTAX.md: Typst syntax guide
• references/STYLE_GUIDE.md: Academic writing rules
• references/COMMON_ERRORS.md: Common mistakes
• references/VENUES.md: Conference/journal requirements
• references/DEAI_GUIDE.md: De-AI writing guide
• references/TEMPLATES.md: Typst template examples
• scripts/check_references.py: Reference integrity checker (standalone)
• scripts/online_bib_verify.py: Online bibliography verifier

Title Optimization Module

Generate and optimize paper titles for both English and Chinese papers following best practices.

Key Principles

Based on IEEE/ACM/Springer/NeurIPS guidelines and GB/T 7713.1-2006 (for Chinese):

English Papers:

1. Conciseness: Remove "A Study of", "Research on", "Novel", "New"
2. Searchability: Key terms (Method + Problem) in first 65 characters
3. Length: Optimal 10-15 words
4. Specificity: Concrete method/problem names
5. Jargon-Free: Avoid obscure abbreviations

Chinese Papers:

1. 简洁性: Remove "关于...的研究", "新型", "改进的"
2. 可搜索性: Key terms in first 20 characters
3. 长度: Optimal 15-25 characters
4. 具体性: Concrete terms
5. 规范性: Follow standards

Quality Scoring

Each title receives a score (0-100) based on five criteria with language-specific thresholds.

Usage in Claude Code

Check existing title:

Check the quality of my paper title
检查我的论文标题质量

Generate title candidates:

Generate title candidates for my paper
根据摘要生成标题候选方案

Optimize existing title:

Optimize my paper title to follow IEEE best practices
优化我的论文标题

The assistant will:

• Auto-detect language (English/Chinese)
• Provide quality score with breakdown
• Generate multiple ranked candidates
• Suggest Typst code for the best title

Title Patterns

English:

• Method for Problem: "Transformer for Time Series Forecasting"
• Method: Problem in Domain: "Graph Neural Networks: Fault Detection in Industrial Systems"
• Problem via Method: "Time Series Forecasting via Attention Mechanisms"

Chinese:

• 问题的方法: "时间序列预测的Transformer方法"
• 方法及应用: "注意力机制及其在工业控制中的应用"
• 面向领域的方法: "面向智能制造的深度学习方法"

Good vs Bad Examples

English:

Good: "Transformer for Time Series Forecasting in Industrial Control"
Bad:  "A Novel Study on Improved Time Series Forecasting Using Transformers"

Chinese:

好：工业控制系统时间序列预测的Transformer方法
差：关于基于Transformer的工业控制系统时间序列预测的研究

Typst Title Configuration

English Paper:

#align(center)[
  #text(size: 18pt, weight: "bold")[
    Transformer-Based Time Series Forecasting for Industrial Control
  ]
]

Chinese Paper:

#align(center)[
  #text(size: 18pt, weight: "bold", font: "Source Han Serif")[
    工业控制系统时间序列预测的Transformer方法
  ]
  
  #v(0.5em)
  
  #text(size: 14pt, font: "Times New Roman")[
    Transformer-Based Time Series Forecasting for Industrial Control Systems
  ]
]

Best Practices

English:

1. Start with keywords (Method + Problem in first 10 words)
2. Be specific ("Transformer" > "Deep Learning")
3. Remove fluff ("Novel", "Study", "Research")
4. Target 10-15 words
5. Match venue style

Chinese:

1. 关键词前置（方法+问题在前20字）
2. 具体明确（"Transformer" > "深度学习"）
3. 删除冗余（"关于"、"研究"、"新型"）
4. 目标 15-25 字
5. 符合规范

References

• IEEE Author Center
• Royal Society Blog on Title Optimization
• GB/T 7713.1-2006 (Chinese thesis standards)

Recommended Workflows

Fast Iteration (Drafting)

1. Compile or watch mode
2. Format check (basic)
3. Grammar analysis (abstract + intro)

Pre-Submission Pass

1. Format check (venue-specific)
2. Expression optimization
3. De-AI polishing
4. Bibliography verification
5. Template check (if required by venue)