latex-paper-en

Installation
SKILL.md

LaTeX Academic Paper Assistant (English)

Use this skill for targeted work on an existing English LaTeX paper project. Keep the workflow low-friction: identify the right module, run the smallest useful check, and return actionable comments in LaTeX-friendly review format.

Capability Summary

  • Compile and diagnose LaTeX build failures.
  • Audit formatting, bibliography, grammar, sentence length, argument logic, and figure quality.
  • Improve expression, translate academic prose, optimize titles, and reduce AI-writing traces.
  • Review experiment sections without rewriting citations, labels, or math.

Triggering

Use this skill when the user has an existing English .tex paper project and wants help with:

  • compiling or fixing build errors
  • format or venue compliance
  • bibliography and citation validation
  • grammar, sentence, logic, or expression review
  • translation of academic prose
  • title optimization
  • figure or caption quality checks
  • de-AI editing of visible prose
  • experiment-section analysis

Do Not Use

Do not use this skill for:

  • planning or drafting a paper from scratch
  • deep literature research or fact-finding without a paper project
  • Chinese thesis-specific structure/template work
  • Typst-first paper workflows
  • DOCX/PDF conversion tasks that do not involve the LaTeX source

Module Router

Module Use when Primary command Read next
compile Build fails or the user wants a fresh compile uv run python -B $SKILL_DIR/scripts/compile.py main.tex references/modules/COMPILE.md
format User asks for LaTeX or venue formatting review uv run python -B $SKILL_DIR/scripts/check_format.py main.tex references/modules/FORMAT.md
bibliography Missing citations, unused entries, BibTeX validation uv run python -B $SKILL_DIR/scripts/verify_bib.py references.bib --tex main.tex references/modules/BIBLIOGRAPHY.md
grammar Grammar and surface-level language fixes uv run python -B $SKILL_DIR/scripts/analyze_grammar.py main.tex --section introduction references/modules/GRAMMAR.md
sentences Long, dense, or hard-to-read sentences uv run python -B $SKILL_DIR/scripts/analyze_sentences.py main.tex --section introduction references/modules/SENTENCES.md
logic Weak argument flow, unclear transitions, coherence issues uv run python -B $SKILL_DIR/scripts/analyze_logic.py main.tex --section methods references/modules/LOGIC.md
expression Academic tone polish without changing claims uv run python -B $SKILL_DIR/scripts/improve_expression.py main.tex --section related references/modules/EXPRESSION.md
translation Chinese-to-English academic translation or bilingual polishing uv run python -B $SKILL_DIR/scripts/translate_academic.py input.txt --domain deep-learning references/modules/TRANSLATION.md
title Generate, compare, or optimize paper titles uv run python -B $SKILL_DIR/scripts/optimize_title.py main.tex --check references/modules/TITLE.md
figures Figure existence, extension, DPI, or caption review uv run python -B $SKILL_DIR/scripts/check_figures.py main.tex references/REVIEWER_PERSPECTIVE.md
deai Reduce AI-writing traces while preserving LaTeX syntax uv run python -B $SKILL_DIR/scripts/deai_check.py main.tex --section introduction references/modules/DEAI.md
experiment Inspect experiment design/write-up quality uv run python -B $SKILL_DIR/scripts/analyze_experiment.py main.tex --section experiments references/modules/EXPERIMENT.md

Required Inputs

  • main.tex or the paper entrypoint.
  • Optional --section SECTION when the request is section-specific.
  • Optional bibliography path when the request targets references.
  • Optional venue/context when the user cares about IEEE, ACM, Springer, NeurIPS, or ICML conventions.

If arguments are missing, ask only for the file path and the target module.

Output Contract

  • Return findings in LaTeX diff-comment style whenever possible: % MODULE (Line N) [Severity] [Priority]: Issue ...
  • Keep comments surgical and source-aware.
  • Report the exact command used and the exit code when a script fails.
  • Preserve \cite{}, \ref{}, \label{}, custom macros, and math environments unless the user explicitly asks for source edits.

Workflow

  1. Parse $ARGUMENTS and identify the smallest matching module.
  2. Read only the reference file needed for that module.
  3. Run the module script with uv run python -B ....
  4. Summarize issues, suggested fixes, and blockers in LaTeX-friendly comments.
  5. If the user asks for a different concern, switch modules instead of overloading one run.

Safety Boundaries

  • Never invent citations, metrics, baselines, or experimental results.
  • Never rewrite bibliography keys, references, labels, or math by default.
  • Treat generated text as proposals; keep source-preserving checks separate from prose rewriting.

Reference Map

  • references/STYLE_GUIDE.md: tone and style defaults.
  • references/VENUES.md: venue-specific expectations.
  • references/CITATION_VERIFICATION.md: citation verification workflow.
  • references/REVIEWER_PERSPECTIVE.md: reviewer-style heuristics for figures and clarity.
  • references/modules/: module-by-module commands and decision notes.

Read only the file that matches the active module.

Example Requests

  • “Compile my IEEE paper and tell me why main.tex still fails after BibTeX.”
  • “Check the introduction section for grammar and sentence length, but do not rewrite equations.”
  • “Audit figures and references in this ACM submission before I submit.”
  • “Review the experiments section for overclaiming, missing ablations, and weak baseline comparisons.”

See examples/ for complete request-to-command walkthroughs.

Weekly Installs
1
GitHub Stars
13
First Seen
Mar 15, 2026
Installed on
amp1
cline1
opencode1
cursor1
kimi-cli1
codex1