Awesome-Agent-Skills-for-Empirical-Research latex-paper-en

English LaTeX academic paper assistant for existing `.tex` projects. Use this skill whenever the user wants to compile, lint, audit, or improve an English LaTeX conference or journal paper such as IEEE, ACM, Springer, NeurIPS, or ICML submissions. Trigger even when the user only mentions one paper issue, such as bibliography errors, grammar cleanup, sentence splitting, logic review, expression polishing, translation, title optimization, figure checks, pseudocode review, algorithm block cleanup, de-AI editing, experiment-section review, table structure validation, three-line table generation, abstract structure diagnosis, or journal adaptation. Also trigger for "proofread my paper", "fix my LaTeX", "prepare for submission", "check my manuscript", "improve my writing", "three-line table", "booktabs", "check abstract", "reformat for another journal", "换投", `algorithm2e`, `algorithmicx`, `algpseudocodex`, `Require/Ensure`, or "Algorithm 1" when the user has a .tex file.

install
source · Clone the upstream repo
git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/35-bahayonghang-academic-writing-skills/skills/latex-paper-en" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-latex-paper-en && rm -rf "$T"
manifest: skills/35-bahayonghang-academic-writing-skills/skills/latex-paper-en/SKILL.md
source content

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.
  • Review IEEE-style pseudocode blocks, figure-wrapped algorithms, captions, labels, comments, and algorithm package choices.
  • 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
  • pseudocode and algorithm-block review
  • 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
  • multi-perspective review, scoring, or submission gate decisions (use
    paper-audit
    )
  • standalone algorithm design from scratch without a paper project

Module Router

ModuleUse whenPrimary commandRead 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, introduction funnel problems, or abstract/conclusion misalignment
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
pseudocode
IEEE-safe pseudocode review,
algorithm2e
cleanup, caption/label/reference checks, and comment-length review
uv run python -B $SKILL_DIR/scripts/check_pseudocode.py main.tex --venue ieee
references/modules/PSEUDOCODE.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, discussion depth, discussion layering, and conclusion completeness
uv run python -B $SKILL_DIR/scripts/analyze_experiment.py main.tex --section experiments
references/modules/EXPERIMENT.md
tables
Table structure validation, three-line table generation, or booktabs review
uv run python -B $SKILL_DIR/scripts/check_tables.py main.tex
references/modules/TABLES.md
abstract
Abstract five-element structure diagnosis and word count validation
uv run python -B $SKILL_DIR/scripts/analyze_abstract.py main.tex
references/modules/ABSTRACT.md
adapt
Journal adaptation: reformat paper for a different venue(LLM-driven workflow)references/modules/ADAPT.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.
  • references/modules/PSEUDOCODE.md
    : IEEE-safe defaults for LaTeX pseudocode.

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.”
  • “Check whether this IEEE pseudocode still uses
    algorithm2e
    floats and tell me how to make it IEEE-safe.”
  • “Review the experiments section for overclaiming, missing ablations, and weak baseline comparisons.”

See

examples/
for complete request-to-command walkthroughs.