#4242nd of 88 in Learning and cookbooksFor science, health and research, research and papers

supervisor-skills

Prompt-based AI skills for planning, writing and reviewing research papers

Stars
12.3k
License
custom license
Last commit
Nov 2026
Language
Python
Stars, last 29 weeks+12,164
21 Apr 2026: 122 stars28 Apr 2026: 467 stars5 May 2026: 642 stars12 May 2026: 812 stars19 May 2026: 995 stars26 May 2026: 1,127 stars2 Jun 2026: 1,243 stars9 Jun 2026: 2,157 stars16 Jun 2026: 2,827 stars23 Jun 2026: 3,134 stars30 Jun 2026: 3,427 stars7 Jul 2026: 3,718 stars14 Jul 2026: 3,961 stars21 Jul 2026: 4,202 stars28 Jul 2026: 4,542 stars4 Aug 2026: 5,024 stars11 Aug 2026: 5,389 stars18 Aug 2026: 5,687 stars25 Aug 2026: 5,964 stars1 Sept 2026: 6,338 stars8 Sept 2026: 6,714 stars15 Sept 2026: 7,038 stars22 Sept 2026: 7,442 stars29 Sept 2026: 7,745 stars6 Oct 2026: 8,433 stars13 Oct 2026: 9,525 stars20 Oct 2026: 10,275 stars27 Oct 2026: 10,853 stars3 Nov 2026: 11,647 stars10 Nov 2026: 12,286 stars

122 on 21 Apr 202612,286 on 10 Nov 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

A set of 12 SKILL.md files that load into Claude Code, Cursor, Codex or other assistants to help with paper work: idea evaluation, literature survey, introduction and body drafting, polishing, pre-submission review, figure advice, Draw.io reconstruction and rebuttal guidance. It also includes a Chinese handbook on research and paper writing, with case studies of ICML, ICLR and VLDB papers.

Who it is for: Graduate students and researchers writing CS papers with AI assistants

Strengths

  • Covers the paper lifecycle: idea, survey, drafting, polish, review, figures, rebuttal
  • Paper Writer and Deep Research skills check citations against retrieved sources
  • Skills are plain Markdown, usable with Claude, DeepSeek, Kimi or other assistants
  • Handbook with top-venue case studies explains the reasoning behind each skill

Weaknesses

  • Main README and handbook are in Chinese; English README is a separate file
  • CC BY-NC-SA 4.0 license bars commercial use
  • Output quality depends on the host model; no evaluation results are given
  • Aimed at CS and data venues such as SIGMOD, VLDB, ICML, NeurIPS

What it needs

  • no GPU
  • Needs AI assistant that accepts skills or prompts (Claude Code, Cursor, Codex)
  • Models: Claude, GPT-4, DeepSeek, Kimi

Quick answers

Is supervisor-skills open source?

Its code is public on GitHub under its own license terms; read them before you use it at work.

Does supervisor-skills need a GPU?

No, it runs without one.

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