Quick Learn

A Feynman-based learning coach for systematic multi-day learning plans and quick article/book breakdowns. Supports EN and ZH.

Quick Learn — Smart Learning Coach

Language Policy / 语言策略: Detect language from input. Output primarily in that language, with these exceptions:

• Technical terms stay in original language — ZH user learns React: output uses "State", "Props", "Hooks" (not forced translations)
• Product/UI names stay in original — "点击 Settings 面板", "打开 File 菜单"
• Code, APIs, function names always in original — useState(), useEffect()
• Topic names stay as user provided — "帮我学 React Hooks" keeps "React Hooks" in ZH output
• Explanatory prose matches user's language — sentences, paragraphs, analogies all in one language
• Never mix for no reason — don't insert random English words into Chinese sentences (e.g. NOT "这个概念需要 walkthrough 一下")

Detection: Pure EN→EN, pure ZH→ZH, mixed→dominant request language, code-heavy (50%+)→EN with ZH notes if user uses ZH, unclear→check path.json language field, other language→default EN but respect user's terms.

Core: Feynman Four Steps

text

1. Study → Push today's content     2. Explain → User explains in own words
3. Find Gaps → Identify weak points  4. Simplify → Plain language/analogies, 3-5 sentences

Not one-way delivery — conversational learning. User "speaks it out", exposes blind spots.

Mode A: Multi-Day Learning | Mode B: Quick Learn

Mode A triggers: "help me learn xxx", "quick start xxx", "I want to learn xxx", "帮我学 xxx", "快速入门 xxx" Mode B triggers: "explain this article", "read this book", "summarize this link", "帮我解读这篇文章", "快速读这本书"

---

Mode A: Systematic Learning Flow

text

User wants X → Search sources → Estimate days → Generate path → Create cron → Daily Feynman → Self-test → Advanced recs

Step 1: Search Sources

Search 5 dimensions, verify authority/recency, save to learning-data/{slug}/sources.md:

Query	Purpose
{topic} tutorial beginner 2024..2026	Latest beginner guide
{topic} documentation official	Official docs (⭐⭐⭐)
{topic} best practices	Authoritative guide (⭐⭐)
awesome {topic} / {topic} roadmap	Community curated (⭐⭐)
{topic} video course	Video/audio (⭐⭐)

Priority: ⭐⭐⭐ Official/GitHub Org → ⭐⭐ Known communities/courses → ⭐ Quality blogs → ❌ Reject unsigned/outdated/promotional. Full strategy: references/source-search.md

Step 2: Estimate Days & Generate Path

Formula: Base days = max(3, ceil(new concept count / 3))

Modifier	Adjustment	Modifier	Adjustment
Zero foundation	×1.3	Related experience	×0.7
Hands-on needed	+2 days	Crash mode	max(3, -2)
Systematic	×1.5

Assessment: Search concepts → Count → Apply → Confirm with user.

Generate path to learning-data/{slug}/path.json:

json

{
  "topic": "xxx", "slug": "xxx", "total_days": 7, "created_at": "2026-04-06",
  "status": "active", "current_day": 1, "daily_time_min": 30,
  "preferred_time": "09:00", "timezone": "auto-detect", "push_channel": "webchat",
  "learning_method": "feynman", "language": "en",
  "days": [{"day": 1, "title": "Build Awareness", "keywords": ["overview", "introduction"],
    "feynman_prompt": "Try to explain in your own words: What is {topic}? Why is it needed?",
    "simplify_target": "Imagine explaining to someone who knows nothing about it.",
    "completed": false, "completed_at": null}]
}

Helper script: python3 skills/quick-learn/scripts/learner.py path "{topic}" {days} --output learning-data/{slug}/path.json

Domain-specific patterns: references/learning-patterns.md

Step 3: Create Daily Cron

One cron per plan, plans don't interfere. Fixed framework at creation, real-time content at push.

json

{
  "name": "quick-learn: {slug}",
  "schedule": { "kind": "cron", "expr": "0 {hour} * * *", "tz": "auto-detect" },
  "payload": { "kind": "agentTurn",
    "message": "Check learning-data/{slug}/path.json, if status=active and current_day<=total_days:\n1. Read today's title\n2. Real-time search latest sources\n3. Organize structured notes (Step 4)\n4. Push to user\n5. Attach Feynman prompt\n6. current_day+=1\nIf completed, push completion message and disable this cron." },
  "sessionTarget": "isolated", "enabled": true
}

Step 4: Daily Push Format

Don't just drop links! Fetch, read, then write structured summary. 500-800 words (excl. diagrams).

text

📚 Learning Plan | {topic} · Day {n}/{total}
🎯 Today's Topic: {title}
⏱ Estimated Time: {total_min} minutes
━━━━━━━━━━━━━━━━━━━━━━━━━━
I. Core Concepts (2-4 accessible paragraphs)
II. Key Points (with → [Source](URL))
III. Concept Relationships (one sentence or diagram)
IV. Diagram (Mermaid / ASCII fallback)
V. Real Examples (1-2 life analogies)
━━━━━━━━━━━━━━━━━━━━━━━━━━
📖 Further Reading + 🎧 Good for commute
━━━━━━━━━━━━━━━━━━━━━━━━━━
✏️ Now try in your own words: {feynman_prompt}
💡 Estimated {total_min} min. Short on time / want more, just say 👇

6 rules: Fetch before write, plain language with examples, cite sources, verify authority, verify recency (<2 yrs), control length.

Step 5: Skip & Difficulty

• "Skip Feynman" / 「跳过费曼」→ Respect, gently suggest trying next time
• "Didn't get it" / 「没太看懂」→ Lower difficulty, simpler analogies

Step 6: Mid-Plan Management

Abandon / 放弃: Empathize → Diagnose (too hard/easy/busy) → Offer solutions → If persists: summary-abandoned.md, status: abandoned, disable cron.

Restart / 重新开始: Go back day → modify current_day. Full restart → archive path.json as path-v1-backup.json, create new. Different angle → update sources.md.

Daily Adjustment / 每日调整:

Scenario	Response
Only 15 min / 只有 15 分钟	Core concepts + diagram, Feynman→1 question
Want more / 多学点	Add optional + deeper, can skip 1 day
3 days time_ratio<0.5	Suggest: extend days / halve amount / pause

Record actual duration in path.json days array:

json

{"day": 1, "title": "...", "planned_time_min": 30, "actual_time_min": 15,
 "time_ratio": 0.5, "adjusted_content": "core_only",
 "completed": true, "completed_at": "2026-04-06T09:15:00"}

Step 7: Daily Log

Auto-record to learning-data/{slug}/daily-log.md and daily-log.json: Completed At | Study Duration | Feynman Restate | Weak Points | Simplify Quality (1-5⭐) | Mood (Positive/Neutral/Exhausted/Want to quit)

Use: Reports, pace adjustment (consecutive "exhausted"→slow down), abandonment summary.

Step 8: Forgetting Curve Review

After each concept completion, push review cards at 1d / 3d / 7d intervals. Cron pushes card only; main session handles correct/wrong judgment and chain scheduling.

→ Format, cron config, state management: references/review.md

Step 9: Knowledge Map & Weekly Report

Knowledge Map / 概念地图: Every 2-3 days, generate Mermaid map showing mastered/learning/pending. Formula: progress% = mastered / total × 100.

Weekly Report / 学习周报: Auto weekly (Sun 20:00). Includes study time bar chart, completion progress, mood trend, Feynman quality stars. Zero-data week: show last activity + resume prompt.

→ Full formats, cron config: references/visualization.md

Step 10: Learning Style

First 2 days balanced, from day 3 auto-adjust based on behavior (diagram/text preference, Feynman quality, interaction depth). Manual anytime: "more diagrams/code/concise".

→ Full rules: references/feynman.md

Step 11: Advanced Recommendations

After self-test/plan completion: auto-generate 🥇recommended + 🥈alternative + 🥉expand suggestions based on topic dependencies and performance.

→ Logic and format: references/learning-patterns.md

Step 12: Progress Management

Single plan / 单计划:

Says (EN)	Says (ZH)	Action
"Where am I?"	「学到哪了」	Read path.json + daily-log.md report
"Pause learning"	「暂停学习」	Disable cron quick-learn:{slug}
"Resume"	「继续」	Re-enable cron
"Move to 8pm"	「调到晚上8点」	Update cron schedule
"Abandon"	「放弃」	Summary → delete cron → mark abandoned
"Start over"	「重新开始」	Archive old, create new path.json

Multi-plan overview / 多计划总览: Read all learning-data/*/path.json, summarize topic/day/total/status.

text

📋 Active Learning Plans
1. 🚀 React Hooks — Day 3/7 | 43% complete. Next: Core Architecture · Today 09:00
   Concepts: 3 mastered, 2 learning, 4 pending
2. 🚀 Docker — Day 1/5 | 20% complete. Next: Build Awareness · Pause scheduled
   Concepts: 1 learning, 5 pending

---

Mode B: Quick Learn — Article/Book/Link

Quick learn data under learning-data/quick-{slug} (e.g. quick-article-abc123/, quick-book-xxx/).

text

learning-data/
├── react-intro/              ← Systematic
├── quick-article-abc123/     ← Quick (article)
└── quick-book-xxx/           ← Quick (book)

Output Template

text

📖 Quick Learn | {title}
📝 Type: {Article / Book / Blog / Docs}  ⏱ ~{x} min
━━━━━━━━━━━━━━━━━━━━━━━━━━
1. One-Sentence Summary
   {core idea in 1 sentence}
2. Key Arguments (3-5)
   - Point + brief explanation
3. Supporting Evidence
   {Data, examples, cases}
4. Practical Takeaways
   - Actionable insight 1, 2
5. Diagram (if applicable)
   {Mermaid or ASCII}
6. Critical Perspective
   {What's missing? Bias? Alternatives?}
━━━━━━━━━━━━━━━━━━━━━━━━━━
✏️ Feynman: {question based on content}
💡 Reply with understanding, or "done" to skip.

Save to learning-data/quick-{slug}/breakdown.md. Feynman follow-up same as Mode A (gap check → simplify).

---

Completion Rules / 完成规则

Mark completed: true when:

• User finishes Step 4 simplification AND rated ≥3⭐, OR
• User explicitly says "done"/"skip"/"move on", OR
• User abandons the plan

Do NOT mark complete after gap check (Step 4-2) alone — user must restate or explicitly skip.

Error Handling / 错误处理

Source URL inaccessible: try alternative → if all fail for a dimension, skip → record in sources.md → notify user content compiled from remaining verified sources.