HKUSTDial

HKUSTDial / Supervisor-Skills

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将博导十年科研经验炼化为可直接调用的 AI 技能。从 Idea 构思到论文投稿，你的 AI 科研副导师。

ai-research ai-researcher awesome awesome-list phd-research
48
2
100% credibility
Found Apr 21, 2026 at 48 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of research handbooks and copy-paste prompts that turn AI assistants into PhD advisors for idea evaluation, paper structuring, figure design, and pre-submission reviews.

How It Works

1
🔍 Discover Supervisor-Skills

While looking for PhD research tips online, you find this free guide from a university professor sharing years of advising wisdom.

2
📖 Explore the handbook

Read simple chapters that explain how to spot great ideas, structure papers, design clear figures, and avoid common mistakes.

3
💡 Pick a skill for your need

Choose from ready-made helpers like idea checker or paper drafter that match exactly what you're stuck on right now.

4
🤖 Chat it with your AI assistant

Copy the skill into your favorite AI chat, share your research details, and watch it give personalized pro advice.

5
✨ Get expert feedback instantly

Feel the boost as your AI turns into a smart co-advisor, scoring ideas, outlining sections, or suggesting figure layouts.

6
✏️ Polish your research work

Apply the clear suggestions to refine your draft, fix weak spots, and make everything look conference-ready.

🎉 Celebrate your strong submission

Submit your paper with confidence, knowing it's backed by top-tier research experience and ready to impress reviewers.

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AI-Generated Review

What is Supervisor-Skills?

Supervisor-Skills distills a decade of PhD supervision experience into ready-to-use AI prompts for the full research lifecycle, from idea generation to paper submission. Paste them into LLMs like Claude or GPT-4, or install as a Claude plugin via a simple setup prompt, to get structured feedback on ideas, paper outlines, figure designs, and pre-submission reviews. Built in Python, it turns vague academic hunches into precise, executable tools that mimic a top-venue reviewer's judgment.

Why is it gaining traction?

It stands out by packaging supervisor skills and abilities—like five-dimension idea scoring (higher, faster, stronger)—into copilot-style agents, similar to GitHub Copilot agent mode for ideas or an Idea GitHub Copilot plugin. Users get chainable workflows for technical or benchmark papers, plus vibe research guides for AI-assisted coding and writing, without generic prompting. The hook: real outputs grounded in SIGMOD/VLDB/NeurIPS cases, helping bridge theory to practice faster than scattered blog posts.

Who should use this?

PhD students and postdocs in AI or data science tackling their first top-conference paper, especially those stuck on idea validation, intro drafting, or figure aesthetics. Early-career researchers needing supervisor skills examples for CVs or quick audits before deadlines. Labs short on mentoring bandwidth for iterative feedback.

Verdict

Worth starring and trying for its polished docs and actionable prompts, despite 48 stars and a 1.0% credibility score signaling early maturity—no tests or broad adoption yet. Grab it if you're in academia; iterate on it to build supervisor skills training into your workflow.

(178 words)

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