latex-paper-en
Skill4 starsChanged 6 months agoMITView on GitHub
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, or experiment-section review. Also trigger for "proofread my paper", "fix my LaTeX", "prepare for submission", "check my manuscript", "improve my writing", `algorithm2e`, `algorithmicx`, `algpseudocodex`, `Require/Ensure`, or "Algorithm 1" when the user has a .tex file.
4 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- 7abushahla/ieee-paper-skillsedited, first seen Aug 4, 2026
- dongzhigang13305312738-art/paper-skillsedited, first seen Jul 21, 2026
- SoFarSoGoodya/math-history-paperword for word, first seen Apr 12, 2026
- Jay-Chen79/claude-skillstheir own version, first seen Feb 2, 2026
Other versions4 projects use a version of this.
Word for word · 1
- SoFarSoGoodya/math-history-paper★ 17100% same
Edited · 2
- dongzhigang13305312738-art/paper-skills★ 138% same
- 7abushahla/ieee-paper-skills★ 038% same
Wrote their own version · 1
- Jay-Chen79/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository37 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- adaptSkill
- animateSkill
- arrangeSkill
- auditSkill
- bolderSkill
- clarifySkill
- code-refactorSkill
- colorizeSkill
- critiqueSkill
- delightSkill
- distillSkill
- extractSkill
- frontend-designSkill
- gitlab-integrationSkill
- git-operationsSkill
- hardenSkill
- industrial-ai-researchSkill
- latex-thesis-zhSkill
- mermaid-diagramsSkill
- normalizeSkill
- onboardSkill
- optimizeSkill
- overdriveSkill
- paper-auditSkill
- polishSkill
- pydanticSkill
- python-best-practicesSkill
- python-docsSkill
- pytorch-lightningSkill
- quieterSkill
- remotion-best-practicesSkill
- research-paper-writingSkill
- skill-creatorSkill
- teach-impeccableSkill
- typesetSkill
- typst-paperSkill
The file
We split this skill into the rules it gives an agent
12 rules. 3 are common, 7 are distinctive, and 2 are very specific to this project.
3
Common
Most of the 3 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 13
Use this skill for targeted work on an existing English LaTeX paper project.
- Very specific: line 25
Use this skill when the user has an existing English .tex paper project and wants help with:
- Distinctive: line 40
Do not use this skill for:
- Distinctive: line 75
If arguments are missing, ask only for the file path and the target module.
- Distinctive: line 80
Keep comments surgical and source-aware.
- Distinctive: line 87
Read only the reference file needed for that module.
- Very specific: line 88
Run the module script with uv run python -B ....
- Distinctive: line 90
If the user asks for a different concern, switch modules instead of overloading one run.
- Common: line 94
Never invent citations, metrics, baselines, or experimental results.
- Distinctive: line 95
Never rewrite bibliography keys, references, labels, or math by default.
- Distinctive: line 96
Treat generated text as proposals.
- Common: line 107
Read only the file that matches the active module.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 |
Required Inputs
main.texor the paper entrypoint.- Optional
--section SECTIONwhen 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
- Parse
$ARGUMENTSand identify the smallest matching module. - Read only the reference file needed for that module.
- Run the module script with
uv run python -B .... - Summarize issues, suggested fixes, and blockers in LaTeX-friendly comments.
- 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.texstill 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
algorithm2efloats 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.
Does it work?
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

