Plugins listed here are tagged for this technology stack and auto-indexed from public GitHub repositories.
Plugins listed here are tagged for this technology stack and auto-indexed from public GitHub repositories.
Claude Code plugins tagged for LaTeX development. Browse commands, agents, skills, and more.
Create and present interactive Slidev slide decks from Markdown, embedding Vue components, syntax-highlighted code, animations, LaTeX equations, Mermaid diagrams, and live demos for technical talks, code walkthroughs, tutorials, and conferences.
Execute a production-grade academic research pipeline in Claude Code: deep research, outline generation, paper drafting, literature reviews, peer review simulation, revisions with response letters, citation checks, venue disclosures, format conversions (LaTeX, DOCX, PDF, Markdown), and finalization for scholarly publishing.
Automate Chinese research paper workflows: brainstorm topics and structures interactively, synthesize literature from PubMed/arXiv with BibTeX, generate Python data visualizations/stats code using matplotlib/seaborn/scipy, draft evidence-driven chapters, peer-review with checklists, polish bilingual text, and compile publication-ready LaTeX with journal templates.
Equips Claude Code with 110+ production-grade skills to audit code quality and security, generate tests and documentation, optimize databases and performance, manage git workflows, create diagrams and visuals, and analyze AI/ML pipelines across languages like Python, Go, Rust.
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.
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.
Build and manage a research workspace for academic workflows: generate literature comparison matrices from Zotero/Obsidian, verify NotebookLM briefs, extract paper claims/figures into YAML, create project manifests and design briefs, curate Zotero libraries, and route tasks across Claude/OpenAI/Gemini CLIs.
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.
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.
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.
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.
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.
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.
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.
Interactively author validated math papers section-by-section in .model.md format, formalizing concepts with prose, LaTeX math, and executable Python blocks. Validate models via meta-compiler, compile to clean Markdown papers and standalone Python packages, generate symbol tables/dependency graphs/coverage reports, onboard existing papers, create plain-English companions, and review drafts for coherence.
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.
Refine computer science research papers for top-tier conferences like OSDI and SIGCOMM using AI: polish text for clarity and style, generate concise summaries and formal peer reviews, identify structural weaknesses and errors, suggest precise phrasing, and validate academic terminology—all while preserving LaTeX formatting and technical accuracy.