learning-science
Spaced repetition, active recall, interleaving, dual coding, metacognition, and study techniques
npx skills add cosmicstack-labs/mercury-agent-skills --skill learning-science --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Learning Science Evidence-based techniques that make learning stick. ## Core Techniques ### 1. Active Recall **What**: Test yourself instead of re-reading. **Why**: Retrieving information strengthens neural pathways. *Instead of re-reading notes → Close the book and summarize from memory.* ### 2. Spaced Repetition | Review | Timing | |--------|--------| | First | 1 day | | Second | 3 days | | Third | 1 week | | Fourth | 2 weeks | | Fifth | 1 month | **Tool**: Anki or any spaced repetition app. ### 3. Interleaving **What**: Mix different topics in one study session. **Why**: Forces brain to discriminate between concepts. *Instead of "Chapter 1 problems all day" → Mix Chapter 1, 2, and 3 problems.* ### 4. Dual Coding **What**: Combine words and visuals. **Why**: Two mental representations = stronger memory. *Draw diagrams, mind maps, flowcharts — not just text notes.* ### 5. Elaboration **What**: Explain concepts in your own words with examples. **Why**: Deeper processing creates richer memory traces. *"How would I explain this to a 10-year-old? What's a real-world example?"* ## Study Session Structure ### Pomodoro + Active Recall ``` 25 min focused study (active recall, no passive
- Core Techniques
- 1. Active Recall
- 2. Spaced Repetition
- 3. Interleaving
- 4. Dual Coding
- 5. Elaboration
- Study Session Structure
- Pomodoro + Active Recall
- Metacognition
- Common Myths
What does the learning-science skill do?
Spaced repetition, active recall, interleaving, dual coding, metacognition, and study techniques
How do I install it?
Run `npx skills add cosmicstack-labs/mercury-agent-skills --skill learning-science --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From cosmicstack-labs/mercury-agent-skills, a repository with 364 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.