tutor

Files (2)

• SKILL.md
• quiz-rules.md · references/

SKILL.md (first lines)

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

Error notes format (only for wrong answers):
```markdown
### 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:

```markdown
# 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

From bevibing/tutor-skills, MIT.

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