LaTeX plugins

Run a production-grade academic research pipeline: deep research, paper writing, integrity checks, peer review simulation, revision with response-to-reviewers, and finalization. Includes citation verification, literature review generation, bilingual abstract creation, and format conversion between LaTeX, DOCX, PDF, and Markdown.

Coordinate specialized AI agents through the full academic paper writing workflow: from literature search and argument blueprinting to drafting, citation verification, bilingual abstract generation, journal formatting, and simulated peer review, producing publication-ready LaTeX, DOCX, or PDF output.

Guides Chinese academic paper writing from brainstorming through publication: structures research plans, generates literature reviews with BibTeX citations, produces publication-quality Python charts (matplotlib/seaborn), and outputs LaTeX-formatted manuscripts with journal templates.

Run Claude Code workflows across software lifecycle phases: architect, review, test, deploy, and document with 70+ modular skills for code quality, security auditing, automated releases, manuscript preparation, system diagrams, and agent orchestration.

Automates visual typesetting optimization for LaTeX academic papers: detects layout defects (overfull boxes, widows, float issues), applies minimal fixes, migrates between conference templates, and adjusts page count through iterative visual proofing.

Orchestrate medical research workflows from project intake through publication: design studies, analyze data with reproducible code, audit manuscripts against reporting guidelines, manage references, and generate submission-ready documents and figures.

Automates the full academic research workflow: literature search, data processing, idea validation, experimental design, paper drafting and polishing, publication-ready figure generation, peer review simulation, rebuttal crafting, compliance auditing, patent/software registration, and presentation creation, with integrity checks and multi-format typesetting.

Audit ML/CV research papers against codebases, data, and experiments to verify claims, citations, numerical accuracy, and methodology. Design ablation studies with cost estimates, analyze datasets for bias, setup LaTeX environments, conduct literature gap analysis, and prepare repos for open-source release.

Brainstorm and refine scientific research ideas by surveying literature, indexing papers, and drafting manuscripts with structured report generation.

Transcribe Tongji Look lecture videos, generate structured study notes and cheat sheets, ingest supplementary materials, build a course wiki, and deploy it to GitHub Pages — all from short slash commands.

Embedded firmware development lifecycle: compile, flash, debug, monitor, and analyze for STM32/ESP32/RISC-V MCUs across CMake, Keil, IAR, ESP-IDF, PlatformIO, and Makefile build systems. Multi-agent competition mode orchestrates architecture, driver implementation, application logic, MATLAB algorithm export, verification, and report generation with layered architecture enforcement and Git-backed rollbacks.

Create, revise, review, and refine professional LaTeX PR/FAQ documents via Amazon's Working Backwards process. Run AI-simulated peer reviews and meetings with personas, research citations, tighten prose, incorporate feedback, export to PDF/Word/Markdown, and evaluate go/no-go decisions.

Automate end-to-end academic research: write scientific papers with LaTeX/Markdown, search and cite literature, analyze data with Python libraries (pandas, PyTorch), run bioinformatics pipelines, generate publication-quality figures, create posters and presentations, and manage citations and references. Includes tools for grant writing, peer review, and clinical decision support.

Auto-documents and cross-pollinates knowledge across data science projects using a .living/ directory — tracks analysis decisions, imports with provenance, reviews code changes via specialized agents, and transfers learnings between subprojects.

Thermal-Fluid Research Workflow is a Claude Code and Codex plugin for mechanical engineering research. It helps with literature reviews, technical writing, data analysis, hypothesis-driven DOE, figure discussion, proposals, presentations, research coding, and AI/ML-assisted thermal-fluid workflows.

Generate exams, quizzes, homework, lecture notes, slides, syllabi, and rubrics for academic teaching workflows, with Canvas LMS export, LaTeX math, and R/Python code validation.

Orchestrate an end-to-end academic research workflow inside Claude Code: from literature search and citation verification, through figure design and code-backed implementation, to manuscript drafting, revision, and rebuttal letter assembly — all coordinated by a supervisor agent that tracks bottlenecks and safety gates.

Enforce academic writing standards and automate manuscript revision with parallel critic review, citation auditing, and systematic literature review workflows, all backed by Zotero integration and empirical integrity gates.

Scaffold LaTeX projects for NeurIPS/CVPR/IEEE EECS papers, draft/revise sections via TEEL framework with word budgets, generate matplotlib/seaborn figures, manage bibtex citations and compliance, simulate peer reviews with 5 personas and stress tests, process feedback into revision roadmaps, compile with pdflatex/bibtex pipelines and error fixes, remove AI writing patterns.

Streamline ML conference paper writing: draft abstracts, introductions, related work, experiments, discussions; generate posters, slides, animated GIFs; verify references; synthesize reviews and rebuttals.

Manage the full university course lifecycle — design outcomes and syllabi, build assessments and rubrics with academic integrity checks, deliver lecture materials and labs, audit alignment and submission specs, analyze student readiness and feedback, generate video scripts and slide decks, and produce a course dashboard with phase gate reports.

Orchestrate a complete academic research pipeline: deep research on any topic, write papers with citation management and LaTeX/DOCX/PDF output, simulate multi-reviewer peer review, and revise manuscripts with human-verified citations.

Provides a library of reusable AI agent skills for automating business tasks including competitive intelligence monitoring, lead qualification, proposal generation, and content creation, with integrations for Baidu's PaddlePaddle and ERNIE platforms.

Generate visuals across 11 channels including raster, SVG, web, interactive, video, terminal, diagrams, and infographics while enforcing brand tokens, 8:1 contrast minimum, custom dimensions, and style guides. Critique produced PNG/JPG/SVG/PDF artifacts with a vision-model agent that evaluates design principles (Tufte/Bertin/Gestalt), channel anti-patterns, and brand compliance, providing evidence-based PASS/NEEDS REVISION/FAIL verdicts.

Automate publication-quality plots (matplotlib/seaborn), TikZ diagrams, and figures for academic papers: render outputs, audit for visual defects like overlaps/collisions/truncation, auto-fix issues, upgrade styles with colorblind palettes and embedded fonts, apply venue templates (NeurIPS/ICML/ICLR/etc.), iterating via render-view-fix loop until defect-free.

Search arXiv, INSPIRE-HEP, NASA ADS, HEPData, and Zenodo for physics papers and experimental data by keywords, authors, or IDs; download BibTeX, LaTeX source, CSV/YAML/JSON/ROOT files; visualize posterior samples from PolyChord/MultiNest with corner plots, marginals, and KL divergence using matplotlib/pandas.

Create interactive web-based slide decks for technical presentations, talks, and workshops using Slidev. Author with Markdown, embed Vue components, add syntax-highlighted code, animations, interactive demos, LaTeX equations, and Mermaid diagrams directly in your workflow.

Enforce consistent LaTeX formatting and generate publication-quality figures and diagrams for academic papers, especially machine learning conference submissions, using automated checks and TikZ/PGF vector graphics.

Automate academic research in finance, economics, and real estate: search literature via Corbis, generate and rank novel ideas with heuristics, screen for novelty and journal fit, visualize trends and gaps with Python-generated figures, draft structured reviews and positioning memos, read/summarize papers with a subagent, and audit citations in LaTeX files.

Validate BibTeX references in LaTeX documents against CrossRef metadata to detect discrepancies in titles, authors, journals, volumes, pages, and years. Identify unused citations across your project and generate detailed verification reports for reliable bibliographies.

Automate end-to-end AI/ML academic research workflows: perform topic-driven literature surveys with taxonomies, gaps, and innovations; generate peer/meta-reviews for paper PDFs; detect/insert citations in LaTeX; evaluate/refine ideas into proposals with diagrams/experiments; create reveal.js slides/posters from papers.

Run a multi-agent research analysis pipeline on ML papers: parse LaTeX/PDF/arXiv into structured data, then fan out to specialized agents for evidence verification, proof checking, statistical validity, notation consistency, figure design, and rebuttal generation, with parallel execution for 2-3x speedup.

End-to-end academic manuscript workflow integrating drafting, revision, claim-evidence audit, banned-word scrubbing, figure-text consistency checks, journal-format compliance, and reviewer response drafting into a single pipeline.

Automates Python project development workflows: commit changes with conventional messages, create pull requests, generate CI/CD pipelines, analyze code quality, and synchronize LaTeX with code.

AI copilot for academic writing that helps researchers draft, review, and polish papers for top-tier computer science conferences. Provides peer-review feedback, grammar and clarity improvements, terminology suggestions, and paper summaries.

Conduct professional editorial reviews and apply precise Russian publishing standards from Milchin-Cheltsova handbook to texts, correcting capitalization, typography, abbreviations, numbers, dates, lists, citations, and generating detailed reports with issue passports and grouped fixes for proofreading workflows.

Author, validate, and compile mathematically rigorous papers with executable Python verification embedded section-by-section in a structured .model.md format, producing validated prose, LaTeX math, standalone Python packages, and plain-English companions.

Embed LaTeX formulas, Desmos graphs, Mermaid diagrams, and TikZ visuals into Obsidian notes using simple code blocks to enhance documentation with interactive math and precise drawings. Invoke the agent to scan markdown files and automatically replace ASCII art with these professional embeds for clearer comprehension.

Generate publication-quality academic diagrams and statistical plots from descriptions, LaTeX, or Markdown files using a Gemini-powered multi-agent pipeline. It retrieves reference examples, plans detailed specs, renders via Matplotlib or Gemini API, critiques outputs, and refines aesthetics for NeurIPS standards, enabling iterative high-fidelity research visuals.

Apply 97 structured reasoning patterns from history's greatest thinkers to any problem — debug, design, research, or write — using specialized agents that analyze, critique, and synthesize across domains.