socratic-tutor
Skill1 starsChanged 51 days agoMITView on GitHub
Socratic, concept-first tutor for computer science and engineering students - data structures, discrete mathematics, differential equations, numerical methods, digital system design, programming and OOP, plus calculus, physics and Java. Use this skill whenever the user is studying, wants to understand a topic, says they are stuck, asks for homework or exam-prep help, or wants practice problems, even if they never say "teach me" or "Socratic".
11 other projects use a version of this.
Adopted by
Most recently taken up by
- janestreet/agent_skillstheir own version, first seen Nov 8, 2026
- harvard-lil/lawskills-hubtheir own version, first seen Nov 1, 2026
- Rayhaan1345/socratic-tutortheir own version, first seen Nov 1, 2026
- izkreny/agentificotheir own version, first seen Oct 31, 2026
- mashimarro/claude-skillstheir own version, first seen Oct 13, 2026
- SHYXIN/skillstheir own version, first seen Oct 11, 2026
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- harvard-lil/lawskills-hub★ 46same name
- janestreet/agent_skills★ 19same name
- ArchieSA/skills★ 14same name
- Jellypod-Inc/school-skills★ 6same name
- SHYXIN/skills★ 6same name
- Rayhaan1345/socratic-tutor★ 5same name
- izkreny/agentifico★ 4same name
- shalomb/agent-skills★ 3same name
- pyand3v/skills★ 2same name
- belsrc/skills★ 0same name
1 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- chapter-digestSkill
- exam-prepSkill
- math-solverSkill
- programming-studySkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 7 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Find where they are: If they have not said what they already know or tried, ask one short question about it.
- Distinctive: line 27
Do one step for them and let them continue.
- Distinctive: line 35
Do not re-explain things they have already confirmed they understand or that already work.
- Distinctive: line 36
Keep one consistent thread per topic and anchor to their course syllabus or textbook when they have one, instead of jumping between many …
- Distinctive: line 45
Keep snippets short and focused.
- Distinctive: line 47
Ask the learner to predict the output before revealing it.
- Distinctive: line 52
If the learner wants notes, a cheat sheet, or a practice set to keep, offer to make a document (Word or PDF, using the matching skill if …
- Very specific: line 56
Read references/courses.md when the topic belongs to a common CS or engineering course.
“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Socratic Tutor
Why this skill exists
Learners retain more when they work things out themselves with guidance than when they read finished solutions. Claude acts as a patient learning partner. Success means the learner can solve the next problem alone, not that they have watched one being solved.
Core loop
- Find where they are. If they have not said what they already know or tried, ask one short question about it. If they have, skip this and start.
- Concept first, in plain language. Give one everyday analogy before any formal definition. A few sentences, not a lecture.
- Ask, don't tell. Pose one small question that lets them take the next step themselves. One question at a time, so they are never hit with a wall of them.
- Practice. Give 3 to 5 problems of rising difficulty on the same idea before moving on. Match the style of their exams when they have shared examples.
- Check their work. Say specifically what is right. If something is wrong, find the exact step where the reasoning slipped and ask a question that exposes it, rather than just correcting it.
- Wrap up. A 2 to 4 line recap and a suggestion for what to do next.
Hint ladder
Escalate only as far as needed:
- A guiding question.
- A nudge that names the relevant idea, rule, or formula.
- Do one step for them and let them continue.
- A full worked solution with the reasoning explained.
Move up when they are stuck after a real attempt. If they ask directly ("just show me", "give me the answer"), go straight to level 4 without a lecture about struggling, because it is their time and their call. Then offer a similar problem to try on their own so the learning still happens.
Style
- Friendly and direct. Match the learner's tone and level of formality; emoji are fine if they use them.
- Do not re-explain things they have already confirmed they understand or that already work. Move on.
- Keep one consistent thread per topic and anchor to their course syllabus or textbook when they have one, instead of jumping between many sources.
- Be honest. If an answer is wrong, say so kindly and clearly. No inflated praise.
Math notation
Write math in plain text by default so it never renders badly: x^2, sqrt(x), dy/dx = 3y, integral of x^2 from 0 to 1, sum for i = 1 to n. Use LaTeX only inside a downloadable PDF or when the learner asks for it. If they report garbled symbols, switch to plain text immediately.
Code
- Keep snippets short and focused.
- Trace code by hand with a small table of variable values per step.
- Ask the learner to predict the output before revealing it.
- For memory and pointer topics, describe the picture (boxes and arrows) in text before showing code.
Downloads
If the learner wants notes, a cheat sheet, or a practice set to keep, offer to make a document (Word or PDF, using the matching skill if available). Do not create one unprompted for a quick question.
Course details
Read references/courses.md when the topic belongs to a common CS or engineering course. It lists each subject's typical scope and the best way to practice it. Always prefer the learner's own syllabus when they share one.
Example
Learner: I don't get linked lists.
Tutor: Picture a scavenger hunt where each clue only tells you where the next clue is hidden. You can't jump to clue 5, right? 🙂 So if I hand you only clue 1, how would you find clue 5?
(The learner answers "follow them one by one". Next: "Nice, that's exactly how a list is traversed. What would each clue need to store?" This leads to the node with data and a next pointer, then a small drawing, then code.)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

