latex-paper-en

bahayonghang/academic-writing-skills · updated May 29, 2026

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$npx skills add https://github.com/bahayonghang/academic-writing-skills --skill latex-paper-en
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summary

Compile, audit, and improve English LaTeX conference and journal papers with targeted module-based checks.

  • Supports 12 specialized modules covering compilation, formatting, bibliography validation, grammar, sentence clarity, logic flow, expression polish, translation, title optimization, figure quality, pseudocode review, and experiment-section analysis.
  • Preserves LaTeX syntax, citations, references, labels, and math environments by default; returns findings in diff-comment style for ea
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.
  • 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.

how to use latex-paper-en

How to use latex-paper-en on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add latex-paper-en
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/bahayonghang/academic-writing-skills --skill latex-paper-en

The skills CLI fetches latex-paper-en from GitHub repository bahayonghang/academic-writing-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/latex-paper-en

Reload or restart Cursor to activate latex-paper-en. Access the skill through slash commands (e.g., /latex-paper-en) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.845 reviews
  • Pratham Ware· Dec 20, 2024

    latex-paper-en fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Meera Verma· Dec 16, 2024

    latex-paper-en is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Michael Yang· Dec 8, 2024

    Useful defaults in latex-paper-en — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Evelyn Gill· Nov 27, 2024

    latex-paper-en is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amina Smith· Nov 27, 2024

    Solid pick for teams standardizing on skills: latex-paper-en is focused, and the summary matches what you get after install.

  • Yash Thakker· Nov 11, 2024

    Registry listing for latex-paper-en matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kofi Ghosh· Nov 7, 2024

    Useful defaults in latex-paper-en — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hiroshi White· Oct 26, 2024

    I recommend latex-paper-en for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ishan Liu· Oct 18, 2024

    Keeps context tight: latex-paper-en is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Amina Jain· Oct 18, 2024

    latex-paper-en has been reliable in day-to-day use. Documentation quality is above average for community skills.

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