据 AlphaMoat 统计,截至 2026-09,Study Habits 累计下载 4,229 次、获 5 个星标,在全部 5,078 个 AI 技能中排名第 2,356 位,在「教育学习」分类(59 个)中排名第 27 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 136 | 4,025 | 5 | - |
| SkillHub ↗ | 218 | 4,229 | 5 | — |
各平台的计数口径不同,统计时间不一致。
该技能可记录学习主题、时长和自评效果,根据学习目标建议学习方法,并安排复习提醒、查看进度或按考试日期规划复习。主文还介绍主动回忆、间隔重复、番茄工作法、费曼技巧与交错练习。文档称学习记录、笔记和进度保存在本机。
资料发布于 2026-10-27
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,229 | — | 5 |
| 2026-08 | 3,932 | +3.8% | 5 |
| 2026-07 | 3,789 | +7.0% | 5 |
| 2026-06 | 3,541 | +4.2% | 4 |
| 2026-05 | 3,398 | — | 4 |
| 2026-03 | 2,964 | — | 4 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: study-habits description: Build effective study habits with spaced repetition, active recall, and session tracking author: clawd-team version: 1.0.0 triggers: - "study session" - "study habits" - "learn effectively" - "study timer"
- "exam prep" --- # Study Habits *Learning that sticks—through science, not stubbornness.* ## What it does This skill transforms how you absorb and retain information by combining proven cognitive techniques with persistent session tracking: - **Study Session Tracking** - Logs when you study, what topic, duration, and effectiveness rating for accountability and pattern recognition - **Technique Suggestions** - Recommends study methods based on your learning goal (memorization vs. deep understanding vs. skill practice) - **Spaced Repetition Reminders** - Intelligently schedules review sessions to hit the sweet spot where forgetting begins - **Progress Dashboard** - Shows your study velocity, topic mastery levels, and retention curves over time - **Exam Countdown** - Builds personalized prep schedules that work backward from exam date to ensure full coverage ## Usage **Start study** : "Start a 50-minute study session on photosynthesis" → Creates a session timer, suggests an optimal study technique, and tracks your focus **Log topic** : "I just finished studying Chapter 3, felt confident" → Records the session, captures confidence level, determines next review interval **Review schedule** : "When should I review calculus next?" → Shows which topics need review based on spaced repetition algorithm, prioritizes by forgetting curve **Check progress** : "Show me my study stats" → Displays sessions completed, topics covered, retention trends, time invested per subject **Exam countdown** : "I have an exam in 21 days on biology" → Creates a study plan that distributes chapters across available time, accounts for review cycles, flags high-risk topics ## Study Techniques **Active Recall** : Test yourself without looking at notes. Forces your brain to retrieve information rather than passively reread. Far more effective than review. **Spaced Repetition** : Review material at increasing intervals (1 day, 3 days, 1 week, 2 weeks). This combats the forgetting curve and moves knowledge to long-term memory. **Pomodoro Technique** : Study in 25-minute focused bursts with 5-minute breaks. Prevents burnout and maintains attention during sessions. **Feynman Technique** : Explain a concept aloud as if teaching it to someone with no background. Exposes gaps in understanding immediately. **Interleaving** : Mix different topics or problem types in one session instead of blocking them. Builds flexible knowledge and stronger pattern recognition. ## Tips 1. **Track confidence, not just completion** — Rate how well you understood each topic (1-10) rather than just marking it done. This surfaces weak areas early. 2. **Use active recall over rereading** — Flashcards, practice problems, and explain-it-aloud beat passively reviewing notes by 10x. 3. **Study in shorter sprints, more often** — Three 45-minute sessions spread across a week beat one 2-hour cramming session. Your brain consolidates overnight. 4. **Review the day after, then space out** — First review should be 24 hours later, then 3 days, then a week. The algorithm handles this automatically. 5. **All data stays local on your machine** — Your study history, notes, and progress never leave your device. Full privacy, full control.
K12 智能老师是一个覆盖小学/初中/高中九大学科的智能辅导技能,支持作业批改、错题分析与举一反三练习生成。
扮演面试官,按目标岗位与级别开展模拟面试。
从教案中提取讲师活动,自动写进对应 PPT 的幻灯片备注。
教学评一致性教案写作助手
根据课程目标生成教案、互动题、作业与分层教学建议。;use for education, lesson-plan, teaching workflows;do not use for 生成违规内容, 替代教师现场判断.
为小学语文课文整理备课资料、教案和课后练习。
覆盖论文从选题到定稿流程的写作辅导技能。
通过提问陪人把复杂问题想清楚的协作思考技能。
用自然对话跟踪股票与加密资产持仓的技能。
Focus & Deep Work 指导规划专注时段、记录干扰并回顾工作模式。
在对话里养成习惯并记录连续天数的技能。
把订阅邮件与文章压缩成要点,并整理成待读清单。
Expense Tracker Pro 指导用对话记录开支并汇总预算。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。