Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Build effective study habits with spaced repetition, active recall, and session tracking
Build effective study habits with spaced repetition, active recall, and session tracking
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Learning that sticksβthrough science, not stubbornness.
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
Start study : "Start a 50-minute study session on photosynthesis" β Creates a session timer, suggests an optimal study technique, and tracks your focus Log topic : "I just finished studying Chapter 3, felt confident" β Records the session, captures confidence level, determines next review interval Review schedule : "When should I review calculus next?" β Shows which topics need review based on spaced repetition algorithm, prioritizes by forgetting curve Check progress : "Show me my study stats" β Displays sessions completed, topics covered, retention trends, time invested per subject Exam countdown : "I have an exam in 21 days on biology" β Creates a study plan that distributes chapters across available time, accounts for review cycles, flags high-risk topics
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.
Track confidence, not just completion β Rate how well you understood each topic (1-10) rather than just marking it done. This surfaces weak areas early. Use active recall over rereading β Flashcards, practice problems, and explain-it-aloud beat passively reviewing notes by 10x. Study in shorter sprints, more often β Three 45-minute sessions spread across a week beat one 2-hour cramming session. Your brain consolidates overnight. Review the day after, then space out β First review should be 24 hours later, then 3 days, then a week. The algorithm handles this automatically. All data stays local on your machine β Your study history, notes, and progress never leave your device. Full privacy, full control.
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.