AI студия Владимира Ломтева
УСЛУГИПРОЕКТЫСТАТЬИБАЗА ЗНАНИЙМаркетплейсПолезные сервисы

Оставьте заявку,
чтобы обсудить проект

Напишите ваш вопрос, не забудьте указать телефон. Мы перезвоним и все расскажем.

Контакты

Москва

Работаем по всей России
и миру (онлайн)

+7 (999) 760-24-41

Ежедневно с 9:00 до 21:00

lamooof@gmail.com

По вопросам сотрудничества

TelegramWhatsApp

Есть предложение?

Напишите нам в мессенджеры

© 2025 AI студия Владимира Ломтева

Политика конфиденциальностиСогласие на обработку ПДн|ИНН 623412173261
    Tutor — Скилл для ИИ-агентов | AI Рассвет

    Tutor

    Interactive quiz tutor for Obsidian StudyVault learning. Use when the user wants to: (1) Take a diagnostic assessment of their knowledge, (2) Study or review specific sections/topics, (3) Drill weak areas identified in previous sessions, (4) Check their learning progress or dashboard, or says things like "quiz me", "test me", "let's study", "/tutor", "학습", "퀴즈", "평가".

    Скиллы для разработки#GitHub#bevibing/tutor-skills#skills.sh
    Скачивания
    0
    В избранном
    0
    Комментарии
    0
    Просмотры
    2

    Установить скилл

    Добавьте инструмент одной командой или скачайте проверенный архив версии.

    npx skills add bevibing/tutor-skills --skill tutor
    Скачать ZIP
    Версия
    1.0.0+397110c9fefb
    Автор
    Владимир Ломтев
    Репозиторий
    bevibing/tutor-skills
    GitHub: bevibing/tutor-skills

    Как установить

    1. 1Скопируйте команду из блока установки.
    2. 2Запустите её в терминале из каталога проекта.

    Документация

    Tutor Skill

    Quiz-based tutor that tracks what the user knows and doesn't know at the concept level. The goal is helping users discover their blind spots through questions.

    File Structure

    StudyVault/
    ├── *dashboard*              ← Compact overview: proficiency table + stats
    └── concepts/
        ├── {area-name}.md       ← Per-area concept tracking (attempts, status, error notes)
        └── ...
    
    • Dashboard: Only aggregated numbers. Links to concept files. Stays small forever.
    • Concept files: One per area. Tracks each concept with attempts, correct count, date, status, and error notes. Grows proportionally to unique concepts tested (bounded).

    Workflow

    Phase 0: Detect Language

    Detect user's language from their message → {LANG}. All output and file content in {LANG}.

    Phase 1: Discover Vault

    1. Glob **/StudyVault/ in project
    2. List section directories
    3. Glob **/StudyVault/*dashboard* to find dashboard
    4. If found, read it. Preserve existing file path regardless of language.
    5. If not found, create from template (see Dashboard Template below)

    If no StudyVault exists, inform user and stop.

    Phase 2: Ask Session Type

    MANDATORY: Use AskUserQuestion to let the user choose what to do. Analyze the dashboard to build context-aware options, then present them.

    Read the dashboard proficiency table and build options based on current state:

    1. If unmeasured areas (⬜) exist → include "Diagnostic" option targeting those areas
    2. If weak areas (🟥/🟨) exist → include "Drill weak areas" option naming the weakest area(s)
    3. Always include "Choose a section" option so the user can pick any area
    4. If all areas are 🟩/🟦 → include "Hard-mode review" option

    Present these as an AskUserQuestion with header "Session" and concise descriptions showing which areas each option targets. The user MUST select before proceeding.

    Phase 3: Build Questions

    1. Read markdown files in target section(s)
    2. If drilling weak area: also read concepts/{area}.md to find 🔴 unresolved concepts — rephrase these in new contexts (don't repeat the same question)
    3. Craft exactly 4 questions following references/quiz-rules.md

    CRITICAL: Read references/quiz-rules.md before crafting ANY question. Zero hints allowed.

    Phase 4: Present Quiz

    Use AskUserQuestion:

    • 4 questions, 4 options each, single-select
    • Header: "Q1. Topic" (max 12 chars)
    • Descriptions: neutral, no hints

    Phase 5: Grade & Explain

    1. Show results table (question / correct answer / user answer / result)
    2. Wrong answers: concise explanation
    3. Map each question to its area

    Phase 6: Update Files

    1. Update concept file (concepts/{area}.md)

    For each question answered:

    • New concept: Add row to table + if wrong, add error note under ### 오답 메모 (or localized equivalent)
    • Existing 🔴 concept answered correctly: Increment attempts & correct, change status to 🟢, keep error note (learning history)
    • Existing 🟢 concept answered wrong again: Increment attempts, change status back to 🔴, update error note

    Table format:

    | Concept | Attempts | Correct | Last Tested | Status |
    |---------|----------|---------|-------------|--------|
    | concept name | 2 | 1 | 2026-02-24 | 🔴 |
    

    Error notes format (only for wrong answers):

    ### Error Notes
    
    **concept name**
    - Confusion: what the user mixed up
    - Key point: the correct understanding
    

    2. Update dashboard

    • Recalculate per-area stats from concept files (sum attempts/correct across all concepts in that area)
    • Update proficiency badges: 🟥 0-39% · 🟨 40-69% · 🟩 70-89% · 🟦 90-100% · ⬜ no data
    • Update stats: total questions, cumulative rate, unresolved/resolved counts, weakest/strongest

    Dashboard stays compact — no session logs, no per-question details.

    Dashboard Template

    Create when no dashboard exists. Filename localized to {LANG}. Example in English:

    ## Learning Dashboard
    
    > Concept-based metacognition tracking. See linked files for details.
    
    ---
    
    ## Proficiency by Area
    
    | Area | Correct | Wrong | Rate | Level | Details |
    |------|---------|-------|------|-------|---------|
    (one row per section, last column = [[concepts/{area}]] link)
    | **Total** | **0** | **0** | **-** | ⬜ Unmeasured | |
    
    > 🟥 Weak (0-39%) · 🟨 Fair (40-69%) · 🟩 Good (70-89%) · 🟦 Mastered (90-100%) · ⬜ Unmeasured
    
    ---
    
    ## Stats
    
    - **Total Questions**: 0
    - **Cumulative Rate**: -
    - **Unresolved Concepts**: 0
    - **Resolved Concepts**: 0
    - **Weakest Area**: -
    - **Strongest Area**: -
    

    Concept File Template

    Create per area when first question is asked. Example:

    ## {Area Name} — Concept Tracker
    
    | Concept | Attempts | Correct | Last Tested | Status |
    |---------|----------|---------|-------------|--------|
    
    ### Error Notes
    
    (added as concepts are missed)
    

    Important Reminders

    • ALWAYS read references/quiz-rules.md before creating questions
    • NEVER include hints in option labels or descriptions
    • NEVER use "(Recommended)" on any option
    • Randomize correct answer position
    • After grading, ALWAYS update both concept file AND dashboard
    • Communicate in user's language

    Требования и возможности

    Источник пакета
    https://github.com/bevibing/tutor-skills/tree/397110c9fefbc6bd5444277686600aec28063c05/skills/tutor

    Файлы версии

    ПутьРазмерSHA256
    SKILL.md569694bd0aec3fbb2f45...
    references/quiz-rules.md21314ecf315341cea0bb...

    Частые вопросы

    Как установить Tutor?
    Используйте команду npx skills add bevibing/tutor-skills --skill tutor или скачайте ZIP-архив.
    Можно ли скачать Tutor бесплатно?
    Да, опубликованную версию можно скачать из маркетплейса бесплатно.

    Похожие инструменты

    Смотреть все
    React DoctorUse when finishing a feature, fixing a bug, before committing React code, or when the user types `/doctor`, asks to scan, triage, or clean up React diagnostics. Covers lint, accessibility, bundle size, architecture. Includes a regression check and a full local-triage workflow that fetches the canonical playbook.Argent Android Emulator SetupSet up and connect to an Android emulator using argent MCP tools. Use when starting a new session on Android, booting an emulator, getting a device serial, or before any UI interaction task.Fireworks Tech GraphCreate technical diagrams such as software architecture, data flow, flowcharts, sequence diagrams, C4 reviews, cloud deployments, event streams, observability investigations, agent/memory systems, UML, ER, network topology, timelines, and technical concept maps, then export SVG, PNG, focused semantic SVG-to-GIF motion, or offline interactive HTML. Treat direct requests such as "Generate a GIF", "生成 GIF", or "制作 GIF" as motion requests, and use this skill when the user asks to visualize a system or engineering concept. Do not use for photos, raster artwork, or quantitative data charts.
    Комментарии

    Войдите, чтобы оставить комментарий.

    Комментариев пока нет.

    Установить скилл

    Добавьте инструмент одной командой или скачайте проверенный архив версии.

    npx skills add bevibing/tutor-skills --skill tutor
    Скачать ZIP
    Версия
    1.0.0+397110c9fefb
    Автор
    Владимир Ломтев
    Репозиторий
    bevibing/tutor-skills
    GitHub: bevibing/tutor-skills
    Modern Web GuidanceSearch tool for modern web development best practices. MANDATORY: Execute FIRST for all HTML/CSS and clientside JS tasks. Do NOT skip — web APIs evolve rapidly and training weights contain obsolete patterns.