Agent Skills
› cosmicstack-labs/mercury-agent-skills
› micro-learning
micro-learning
GitHub提供微学习设计指南，涵盖内容分块、移动优先及间隔重复策略。指导如何创建单概念模块，结合钩子、核心、应用与检查结构，并给出提升参与度的游戏化手段、推送时机及平台数据优化建议，适用于碎片化高效学习场景。
Trigger Scenarios
用户需要设计短小精悍的学习内容
咨询移动端或碎片化学习方案
询问如何提高课程完成率与参与度
需要制定间隔复习或推送策略
Install
npx skills add cosmicstack-labs/mercury-agent-skills --skill micro-learning -g -y
SKILL.md
Frontmatter
{
"name": "micro-learning",
"metadata": {
"tags": [
"micro-learning",
"education",
"mobile-learning",
"engagement",
"training"
],
"author": "cosmicstack-labs",
"version": "1.0.0",
"category": "education-learning"
},
"description": "Content chunking, mobile-first learning, spaced delivery, engagement patterns, and platform best practices"
}
Micro-Learning
Design bite-sized learning experiences that fit into busy schedules.
What is Micro-Learning?
| Feature | Traditional | Micro-Learning |
|---|---|---|
| Duration | 30-60 min | 2-10 min |
| Format | Lecture, textbook | Video, quiz, interactive |
| Focus | Multiple topics | Single concept or skill |
| Schedule | Fixed time | On-demand, just-in-time |
| Retention | Variable | High (spaced, focused) |
Design Principles
1. One Concept Per Module
Each micro-learning unit should teach exactly one thing:
- One formula or rule
- One step in a process
- One concept or definition
- One tool or technique
2. Structure Each Module
Hook (15s) → Why this matters
Core (2-5 min) → The concept, demonstrated
Apply (1-2 min) → Quick practice or scenario
Check (30s) → One question to confirm understanding
3. Mobile-First Design
- Vertical video (9:16 aspect ratio)
- Large text, high contrast
- Touch-friendly interactions (tap, swipe)
- Offline-capable
- Progress sync across devices
Engagement Patterns
- Streaks: Daily login rewards (Duolingo model)
- Push notifications: Reminders (not spam)
- Leaderboards: Optional, opt-in competition
- Badges: Complete a series → earn recognition
- Social sharing: Post achievements
Delivery Strategy
- New module every 1-3 days
- Spaced review: previous module content appears 1, 3, 7 days later
- Just-in-time: deliver module right before user needs it
- Seasonal: align with calendar events or product launches
Platform Best Practices
- Track completion rate (target >70%)
- Track assessment score (target >80%)
- A/B test module length, format, and schedule
- Survey learners after each series for improvement
- Iterate based on where learners drop off
Version History
- 38e2523 Current 2026-07-05 19:39
