Study Habits

Build effective study habits with spaced repetition, active recall, and session tracking

Security Scan

The skill's stated features (persistent session tracking, dashboards, reminders) are plausible, but the instructions are vague about how data is stored or how timers/reminders/dashboard are implemented, which is an internal inconsistency that deserves clarification before trusting it with your data or workflows.

Purpose & Capability

The name/description match the functionality described (study sessions, spaced repetition, progress dashboard). However the skill promises persistent local storage and scheduling features while being an instruction-only skill with no declared storage paths, no install, and no required permissions — it is under-specified about how persistent features are implemented.

Instruction Scope

SKILL.md contains high-level runtime behavior but no concrete instructions for where/how to log sessions, where a dashboard is stored, or how reminders/timers are created. It uses open-ended language ('the algorithm handles this automatically') that grants broad discretion to the agent; that vagueness could lead to unexpected actions (e.g., creating external network calls or writing files) unless constrained.

Install Mechanism

No install spec and no code files — lowest risk from installation (nothing will be downloaded or written to disk by the skill itself).

Credentials

The skill requests no environment variables, credentials, or config paths. That is consistent with an instruction-only helper; however it conflicts with the claim of local, persistent storage since no storage location or access method is declared.

Persistence & Privilege

Skill promises persistent local data and scheduling/reminder behavior but does not declare config paths, storage mechanisms, or required permissions. Because the skill can be invoked by the agent with broad discretion, this ambiguity could lead to unexpected storage or external calls. The skill itself does not set always:true, and it declares no elevated privileges.

What to consider before installing

This skill looks like a helpful study assistant but is under-specified about how it implements persistent features. Before installing or relying on it, ask the developer: (1) Where and how is study data stored on my machine (file path, format)? Is it encrypted? (2) How can I export or delete all stored data? (3) How are reminders/timers implemented — do they integrate with my calendar or send network requests? (4) Does the skill ever transmit data off-device? If the developer can't provide concrete answers (storage locations, explicit APIs used, or an optional install that creates a local database), treat the privacy claims skeptically. If you proceed, avoid entering sensitive personal information into the skill until you confirm storage and transmission behavior.

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.