UniversePeak

UniversePeak / Supervisor.skill

Public

导师skill，让导师再次伟大！Make Supervisor Great Again！Inspired by colleague-skill（同事skill）and ex-skill (前任skill)

agent ai-skill ai-skills automation mentor
13
2
89% credibility
Found Apr 07, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

Tools for combining various document files into unified text and creating, updating, and version-managing structured profiles that simulate academic supervisors for AI use.

How It Works

1
📚 Discover the Tool

You hear about a simple set of tools to turn your professor's notes and styles into a helpful AI advisor.

2
📝 Gather Your Materials

Collect all your files like notes, emails, papers, or lists about your professor's advice and personality.

3
🗂️ Combine Everything Neatly

Feed your files into the organizer, and it magically pulls them into one clean, easy-to-read document.

4
🧑‍🏫 Create Your Advisor

Build a personalized 'skill' folder with your professor's academic style, personality, and practical tips all set up.

5
🔄 Update and Track Changes

Add new insights over time, and the tool automatically saves versions so you can go back if needed.

6
📋 List Your Advisors

See a nice list of all your created advisors with their details and latest updates.

🎉 Your Mentor is Ready!

Now you have a smart, always-available AI version of your professor to guide your studies and decisions.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 13 to 13 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Supervisor.skill?

Python CLI toolkit for building and versioning AI personas of academic supervisors, turning scattered notes, emails, and feedback into structured supervisor skill sets. Dump txt/md/csv/json files – it normalizes them, then generates skills covering academic style, persona traits, responsibilities, method cores, and graduation playbooks with modes like proposal, paper, meeting, rebuttal, ethics, or pragmatic. Fixes the pain of ad-hoc prompting by packaging supervisor skills examples, lists, and training data into invocable /slug commands for LLMs.

Why is it gaining traction?

Version control with backups, rollbacks, and cleanups keeps your supervisor-skilled refinements safe, unlike raw prompt tinkering. Modes and distillation strategies (strict material, hybrid, template-first) adapt to semi-skilled data gaps, blending ex-skill vibes to make supervisors great in chats. Python simplicity hooks devs needing resume-ready supervisor skills without boilerplate.

Who should use this?

PhD students scripting AI for proposal critiques, deadline plans, or rebuttal replies based on real supervisor skills and responsibilities. Postdocs compiling skills lists for CVs or career pivots. Academia AI tinkerers modeling lab dynamics.

Verdict

Worth forking for grad AI workflows – 13 stars and 0.9% credibility score flag immaturity, but CLI shines with clear create/update/list commands. Add tests for production polish.

(178 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.