Инструменты

Modern markup-based typesetting system, a LaTeX alternative for papers, reports and resumes. Fast incremental compilation; typst compile outputs a PDF in one command and watch mode recompiles automatically.

End-to-end academic paper plugin: deep research and literature review, writing, multi-perspective simulated peer review, revision and finalization, pausing for your approval at each stage, with built-in citation verification and integrity checks. Licensed CC BY-NC.

Universal document converter between dozens of formats including Markdown, Word, HTML, LaTeX and EPUB, with templates, citations and Lua filters. PDF output uses LaTeX by default, which you install separately.

Translates full PDF papers while preserving formulas, charts and layout (command pdf2zh), outputting monolingual and side-by-side bilingual PDFs. Uses Google Translate by default and can switch to DeepL, OpenAI and others; also runs as an MCP server.

Automattic's offline English grammar checker: checks spelling, grammar and word choice locally in milliseconds without sending your text anywhere. Homebrew installs harper-cli for batch-checking files (still experimental) and harper-ls for editors. English only.

Codex-native version of Academic Research Skills: one skill chains topic selection and literature review, drafting, simulated peer review, revision guidance and experiment planning, with citation verification and integrity checks. For grad students and faculty. Needs Codex; CC BY-NC 4.0 license.

Open-source research agent: one command runs literature reviews, deep research, paper reviews, paper-code consistency checks and replication plans, searching arXiv, PubMed and more with sources recorded. Good for grad students writing reviews. Run feynman setup to sign in to a model provider.

Twelve research skills from Prof. Yuyu Luo's team at HKUST (Guangzhou), built on a decade of top-venue publishing and reviewing: idea evaluation, intro and body writing, polishing, surveys, pre-submission review, figures, Draw.io rebuilds and rebuttals. Non-commercial license.

Turns Peng Sida's public research-writing notes into a skill: revises abstracts, introductions, methods and experiments of ML/CV/NLP papers from a reviewer's view, checks that each claim has experimental evidence, and runs a pre-submission self-check. Pure methodology, no API key.

OpenAI's official Codex plugin that uses the local API of the Zotero desktop app to search your library, export BibTeX, insert citations into LaTeX or Markdown drafts, and import new references after you confirm. Requires Zotero desktop.

Consensus's official Codex plugin: uses its remote MCP to search 220 million peer-reviewed papers for literature reviews, bibliographies, research gap analysis and cited writing. Needs a Consensus sign-in; the free tier returns a limited number of results.

Posit's open-source scientific and technical publishing system built on Pandoc: embed Python, R or Julia code in Markdown or Jupyter notebooks, then quarto render produces HTML, PDF, Word, slides, websites and books.

Connects to your local or cloud Zotero library: search by title, full text or semantics, read PDFs and annotations, add items by DOI and organize collections. Needs Python 3.10+; for local mode, enable the local API in Zotero settings first.

Self-contained modern TeX/LaTeX engine based on XeTeX and TeX Live that downloads and caches support files on first build, compiling .tex to PDF in one command without installing a full TeX distribution.

Builds Markdown and Jupyter notebooks into online textbook sites with a TOC, math, citations and cross-references, plus publication-quality PDF export; popular for course notes. A Jupyter subproject installed via pipx or npm; PDF export needs Typst or LaTeX.

Thesis workflow for undergrad and grad students: Q&A to settle topic and outline, then chapter drafting, literature reviews, pre-submission self-review and AI-tone polishing, with modules for law, medicine and social sciences. Outputs Markdown or compilable LaTeX; won't fabricate citations.

Search and download arXiv papers and read the authors' LaTeX source section by section, export BibTeX and follow topic updates, with papers cached locally. No API key needed.

Fixes defensive academic writing full of hedging and preemptive disclaimers, organizing abstract, introduction, experiments and conclusion around your strongest contribution. Also helps trim length and self-check before a rebuttal. English and Chinese versions, plus a prompt for any AI chat.

PDFMathTranslate 2.x (command pdf2zh_next), built on BabelDOC: translates papers and other PDFs while keeping formulas, charts, TOC and annotations, outputting translated and bilingual side-by-side versions. Uses a free translation channel by default, or your own OpenAI, DeepSeek or other API key.

Turns a paper's method description (text or PDF) or data files into publication-ready diagrams and plots, with several AI reviewer roles refining each figure. Needs an OpenAI or Gemini API key (billed per image), Python and uv. A community reimplementation, not by the original paper's authors.

A three-stage workflow for math modeling contests like MCM/ICM and CUMCM: analysis, solving and plotting in Python or MATLAB, and a Word (optionally LaTeX) paper, with stage-check subagents and OpenAlex plus AnySearch literature search. Generated papers are for reference only.

Command-line reference and bibliography manager: add papers by DOI with metadata fetched automatically, search by author, title or tag, and import or export BibTeX. Each entry is a readable YAML file that agents can read and write easily; a web UI is included. Needs Python.

Econometrician Pedro Sant'Anna's academic Claude Code setup (fork the repo to use it): Beamer/Quarto lecture slides, paper review and mock refereeing, R/Python analysis and replication packages, with specialist subagents and quality gates. Needs Git and Python; slides need XeLaTeX and Quarto.

Two-stage paper skills: planning studies the style of your target preprint server (e.g. PhilArchive, arXiv), finds gaps in the literature and scores a seven-dimension mock review; writing drafts and checks each chapter from the outline. Suits philosophy and interdisciplinary work; needs Python 3.