stash

name: stash description: Save current work's learning points for later study. Use when completing a task or when you want to bookmark something to learn later. argument-hint: "[memo]"

Learn Quest Stash

The user wants to save learning points from the current work for later study.

Purpose

When users are busy working, they don't have time to learn deeply. Stash allows them to:

1. Save learning points from the current session
2. Study them later when they have time

Configuration Check

Read settings from ~/.learn-quest/config.json:

• level: bronze/silver/gold/platinum/diamond (for later study context)
• language: en/ko
• stash.enabled: true/false

If config doesn't exist, use defaults.

Stash Storage

Save to: ~/.learn-quest/stash/

Filename format: {date}_{id}.json (e.g., 2025-01-28_abc123.json)

Data Structure

{
  "id": "abc123",
  "date": "2025-01-28",
  "title": "Auto-generated title from summary",
  "memo": "User's optional memo",
  "summary": "Brief summary of what was done",
  "learning_points": [
    {
      "topic": "Main concept",
      "context": "Why this was used/done",
      "tags": ["tag1", "tag2"]
    }
  ],
  "code_snippets": [
    {
      "description": "What this code does",
      "code": "// code here",
      "language": "javascript"
    }
  ],
  "learned": false,
  "learned_at": null
}

Command Handling

With argument: /learn-quest:stash <memo>

Example: /learn-quest:stash 로그인 기능 완료

1. Analyze the current conversation for learning points
2. Generate title from summary
3. Save with user's memo
4. Confirm to user

Without argument: /learn-quest:stash

1. Analyze the current conversation for learning points
2. Generate title from summary
3. Save without memo
4. Confirm to user

Analysis Process

When stashing, analyze the conversation for:

1. Code patterns used - What patterns, libraries, APIs were used?
2. Decisions made - Why certain approaches were chosen?
3. Concepts involved - What CS/engineering concepts are relevant?
4. Potential improvements - What could be learned for future?

Response Format

Korean (language: ko)

🎮 LEARN QUEST - Stash
━━━━━━━━━━━━━━━━━━━━━

✅ 저장 완료!

📦 [Auto-generated title]
   [Summary of what was captured]

💡 학습 포인트 [N]개 저장됨
   • [point 1]
   • [point 2]

나중에 /learn-quest:study 로 학습하세요!

English (language: en)

🎮 LEARN QUEST - Stash
━━━━━━━━━━━━━━━━━━━━━

✅ Saved!

📦 [Auto-generated title]
   [Summary of what was captured]

💡 [N] learning points saved
   • [point 1]
   • [point 2]

Study later with /learn-quest:study

Automatic Prompt (from hook)

When completion is detected and stash.prompt_on_complete is true, the hook will display:

🎮 LEARN QUEST - Stash
━━━━━━━━━━━━━━━━━━━━━
📦 지금은 바쁘시죠?
   학습 포인트만 저장해두고, 나중에 천천히 공부하세요.

1) 저장해두기
2) 괜찮아, 넘어갈게

If user selects 1, proceed with stash. If 2, skip.

Implementation Notes

1. Generate unique ID: Use timestamp + random string
2. Create directory if ~/.learn-quest/stash/ doesn't exist
3. Analyze conversation: Look at recent code, explanations, decisions
4. Extract learning points: Identify 2-5 key learning opportunities
5. Generate title: Create concise title (max 50 chars) from summary
6. Save JSON file: Pretty-print for readability

Error Handling

No meaningful content to stash

📦 저장할 학습 포인트가 없어요.
   코드 작성이나 기술적인 작업을 한 후에 시도해보세요!

File permission error

❌ 저장 실패: 파일 권한 오류
   ~/.learn-quest/stash/ 디렉토리 권한을 확인해주세요.