latex-paper-en

name	latex-paper-en
description	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.
metadata	{"category":"academic-writing","tags":["latex","paper","english","ieee","acm","springer","neurips","icml","compilation","grammar","bibliography","figures","pseudocode","algorithmicx","algpseudocodex"]}
argument-hint	[main.tex] [--section SECTION] [--module MODULE]
allowed-tools	Read, Glob, Grep, Bash(uv *), Bash(pdflatex *), Bash(xelatex *), Bash(latexmk *), Bash(bibtex *), Bash(biber *), Bash(chktex *)

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

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, 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.