Learning that sticks—through science, not stubbornness.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstudy-habitsExecute the skills CLI command in your project's root directory to begin installation:
Fetches study-habits from jackjin1997/clawforge and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate study-habits. Access via /study-habits in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Learning that sticks—through science, not stubbornness.
This skill transforms how you absorb and retain information by combining proven cognitive techniques with persistent session tracking:
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
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 — 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 — Flashcards, practice problems, and explain-it-aloud beat passively reviewing notes by 10x.
Study in shorter sprints, more often — 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 — 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 — Your study history, notes, and progress never leave your device. Full privacy, full control.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
study-habits has been reliable in day-to-day use. Documentation quality is above average for community skills.
study-habits reduced setup friction for our internal harness; good balance of opinion and flexibility.
study-habits is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: study-habits is focused, and the summary matches what you get after install.
Useful defaults in study-habits — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added study-habits from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added study-habits from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
study-habits reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in study-habits — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
study-habits is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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