Create beautiful, publication-quality books and documents from computational content.
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Updated
Oct 20, 2026 - TypeScript
Create beautiful, publication-quality books and documents from computational content.
A curated list of resources for using LLMs to develop more competitive grant applications.
Strip AI-writing tells from papers and grant proposals (NSF/NIH), while keeping scholarly voice and tying claims to evidence. A skill for Claude Code, Codex, and MorphMind.
An offline-first scientific writing workspace powered by Claude. LaTeX + Python + 100+ scientific skills all running locally.
🎓 AI 科研论文写作助手 - 30 个 Prompt 模板覆盖论文写作全流程。支持中英文翻译、润色、文献综述、投稿回复、基金申请等。
Create beautiful and semantically meaningful articles with pandoc.
A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflow with verified BibTeX citations.
Defend sound research against LLM reviewer bias through meaning-preserving rewrites.
Components for interactive scientific writing, reactive documents and explorable explanations.
Use MyST Markdown directly in Jupyter Lab
A Stanford writing course to learn how to write scientific articles in a clear, concise, and effective way
A local, Git-native review + feedback layer for existing LaTeX projects.
Loop until it's better — drop-in agentic loops (autoresearch, scientific writing, data analysis, code/SQL/prompt optimization, red-teaming) as open-standard Agent Skills. Verification-gated; native on Claude Code, portable across Codex, Cursor & other Skills hosts.
Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength.
A self-hosted AI assistant for academic research — manages your papers, searches literature, tracks deadlines, and answers you on the channels you already use.
A complete converter from Obsidian to Latex, which unfolds embedded notes (write your scientific papers in Obsidian --> print to LateX)
An open-source research system for autonomous investigation, recursive self-improvement, and human–AI collaboration. Run experiments, refine methods through evidence and feedback, and turn traceable research into paper drafts.
Pre-submission integrity gate for LaTeX papers: every reference verified against real scholarly records. No LLM guessing.
Trace changed experiment results to the numbers, claims and figures in your LaTeX paper. Offline bilingual review, safe numeric patches and read-only MCP tools.
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