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Tutor Setup

OrganizationPopular
bevibing
tutor-setup

Transforms knowledge sources into an Obsidian StudyVault. Two modes: (1) Document Mode — PDF/text/web sources → study notes with practice questions. (2) Codebase Mode — source code project → onboarding vault for new developers. Mode is auto-detected based on project markers in CWD.

Overview

Publisherbevibing
Repositorytutor-skills
Skill nametutor-setup
Stars
1.3K
Forks
124
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bevibing on GitHub. Read the source before you install it.

Installation

Install the Tutor Setup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bevibing/tutor-skills/tree/main/skills/tutor-setup
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bevibing/tutor-skills.git /tmp/tutor-skills
mkdir -p .claude/skills
cp -r /tmp/tutor-skills/skills/tutor-setup .claude/skills/tutor-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tutor Setup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tutor Setup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tutor Setup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Tutor Setup — Knowledge to Obsidian StudyVault

CWD Boundary Rule (ALL MODES)

NEVER access files outside the current working directory (CWD). All source scanning, reading, and vault output MUST stay within CWD and its subdirectories. If the user provides an external path, ask them to copy the files into CWD first.

Mode Detection

On invocation, detect mode automatically:

  1. Check for project markers in CWD:
    • package.json, pom.xml, build.gradle, Cargo.toml, go.mod, Makefile, *.sln, pyproject.toml, setup.py, Gemfile
  2. If any marker found → Codebase Mode
  3. If no marker found → Document Mode
  4. Tie-break: If .git/ is the sole indicator and no source code files (*.ts, *.py, *.java, *.go, *.rs, etc.) exist, default to Document Mode.
  5. Announce detected mode and ask user to confirm or override.

Document Mode

Transforms knowledge sources (PDF, text, web, epub) into study notes. Templates: templates.md

Phase D1: Source Discovery & Extraction

  1. Auto-scan CWD for **/*.pdf, **/*.txt, **/*.md, **/*.html, **/*.epub (exclude node_modules/, .git/, dist/, build/, StudyVault/). Present for user confirmation.
  2. Extract text (MANDATORY tools):
    • PDF → pdftotext CLI ONLY (run via Bash tool). NEVER use the Read tool directly on PDF files — it renders pages as images and wastes 10-50x more tokens. Convert to .txt first, then Read the .txt file.
      bash
      pdftotext "source.pdf" "/tmp/source.txt"
    • If pdftotext is not installed, install it first: brew install poppler (macOS) or apt-get install poppler-utils (Linux).
    • URL → WebFetch
    • Other formats (.md, .txt, .html) → Read directly.
  3. Read extracted .txt files — understand scope, structure, depth. Work exclusively from the converted text, never from the raw PDF.
  4. Source Content Mapping (MANDATORY for multi-file sources):
    • Read cover page + TOC + 3+ sample pages from middle/end for EVERY source file
    • NEVER assume content from filename — file numbering often ≠ chapter numbering
    • Build verified mapping: { source_file → actual_topics → page_ranges }
    • Flag non-academic files and missing sources
    • Present mapping to user for verification before proceeding

Phase D2: Content Analysis

  1. Identify topic hierarchy — sections, chapters, domain divisions.
  2. Separate concept content vs practice questions.
  3. Map dependencies between topics.
  4. Identify key patterns — comparisons, decision trees, formulas.
  5. Full topic checklist (MANDATORY) — every topic/subtopic listed. Drives all subsequent phases.

Equal Depth Rule: Even a briefly mentioned subtopic MUST get a full dedicated note supplemented with textbook-level knowledge.

  1. Classification completeness: When source enumerates categories ("3 types of X"), every member gets a dedicated note. Scan for: "types of", "N가지", "categories", "there are N".
  2. Source-to-note cross-verification (MANDATORY): Record which source file(s) and page range(s) cover each topic. Flag untraceable topics as "source not available".

Phase D3: Tag Standard

Define tag vocabulary before creating notes:

  • Format: English, lowercase, kebab-case (e.g., #data-hazard)
  • Hierarchy: top-level → domain → detail → technique → note-type
  • Registry: Only registered tags allowed. Detail tags co-attach parent domain tag.

Phase D4: Vault Structure

Create StudyVault/ with numbered folders per templates.md. Group 3-5 related concepts per file.

Phase D5: Dashboard Creation

Create 00-Dashboard/: MOC, Quick Reference, Exam Traps. See templates.md.

  • MOC: Topic Map + Practice Notes + Study Tools + Tag Index (with rules) + Weak Areas (with links) + Non-core Topic Policy
  • Quick Reference: every heading includes → [[Concept Note]] link; all key formulas
  • Exam Traps: per-topic trap points in fold callouts, linked to concept notes

Phase D6: Concept Notes

Per templates.md. Key rules:

  • YAML frontmatter: source_pdf, part, keywords (MANDATORY)
  • source_pdf MUST match verified Phase D1 mapping — never guess from filename
  • If unavailable: source_pdf: 원문 미보유
  • [[wiki-links]], callouts ([!tip], [!important], [!warning]), comparison tables > prose
  • ASCII diagrams for processes/flows/sequences
  • Simplification-with-exceptions: general statements must note edge cases

Phase D7: Practice Questions

Per templates.md. Key rules:

  • Every topic folder MUST have a practice file (8+ questions)
  • Active recall: answers use > [!answer]- 정답 보기 fold callout
  • Patterns use > [!hint]- / > [!summary]- fold callouts
  • Question type diversity: ≥60% recall, ≥20% application, ≥2 analysis per file
  • ## Related Concepts with [[wiki-links]]

Phase D8: Interlinking

  1. ## Related Notes on every concept note
  2. MOC links to every concept + practice note
  3. Cross-link concept ↔ practice; siblings reference each other
  4. Quick Reference sections → [[Concept Note]] links
  5. Weak Areas → relevant note + Exam Traps; Exam Traps → concept notes

Phase D9: Self-Review (MANDATORY)

Verify against quality-checklist.md Document Mode section. Fix and re-verify until all checks pass.


Codebase Mode

Generates a new-developer onboarding StudyVault from a source code project. Full workflow: codebase-workflow.md Templates: codebase-templates.md

Phase Summary

PhaseNameKey Action
C1Project ExplorationScan files, detect tech stack, read entry points, map directory layout
C2Architecture AnalysisIdentify patterns, trace request flow, map module boundaries and data flow
C3Tag StandardDefine #arch-*, #module-*, #pattern-*, #api-* tag registry
C4Vault StructureCreate StudyVault/ with Dashboard, Architecture, per-module, DevOps, Exercises folders
C5DashboardMOC (Module Map + API Surface + Getting Started + Onboarding Path) + Quick Reference
C6Module NotesPer-module notes: Purpose, Key Files, Public Interface, Internal Flow, Dependencies
C7Onboarding ExercisesCode reading, configuration, debugging, extension exercises (5+ per major module)
C8InterlinkingCross-link modules, architecture ↔ implementations, exercises ↔ modules
C9Self-ReviewVerify against quality-checklist.md Codebase Mode section

See codebase-workflow.md for detailed per-phase instructions.


Language

  • Match source material language (Korean → Korean notes, etc.)
  • Tags/keywords: ALWAYS English

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tutor Setup AI skill do?

Transforms knowledge sources into an Obsidian StudyVault. Two modes: (1) Document Mode — PDF/text/web sources → study notes with practice questions. (2) Codebase Mode — source code project → onboarding vault for new developers. Mode is auto-detected based on project markers in CWD.

Why use Tutor Setup on TypingMind?

Because you install it once and use it with any model. Tutor Setup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tutor Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bevibing/tutor-skills/tree/main/skills/tutor-setup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tutor Setup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tutor Setup?

As many as you like. As long as a model supports skills, you can use Tutor Setup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tutor Setup AI skill free?

Yes. It is published on GitHub by bevibing under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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