Spaced repetition, active recall, interleaving, dual coding, metacognition, and study techniques
npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill learning-science
Evidence-based techniques that make learning stick.
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.*
| Review | Timing |
|--------|--------|
| First | 1 day |
| Second | 3 days |
| Third | 1 week |
| Fourth | 2 weeks |
| Fifth | 1 month |
Tool: Anki or any spaced repetition app.
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.*
What: Combine words and visuals.
Why: Two mental representations = stronger memory.
*Draw diagrams, mind maps, flowcharts — not just text notes.*
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?"*
25 min focused study (active recall, no passive reading)
5 min break (stand, stretch, hydrate)
25 min active practice (problems, self-test)
5 min break
25 min review/spaced repetition
❌ Learning styles (visual/auditory/kinesthetic) are not supported by evidence
❌ Highlighting and re-reading are low-utility techniques
❌ Multitasking impairs learning — single-task
✅ Struggle is part of learning — desirable difficulties
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Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
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Take cosmicstack-labs/learning-science from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.