flashcards
Skill4 starsChanged 2 days agoMITView on GitHub
Use when someone says make flashcards, a study deck, or Anki or Quizlet cards. Quick live drills belong to tutor; cards support recall after understanding.
We split this skill into the rules it gives an agent
6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Very specific: line 12
Stand down when it isn't wanted: If memory or the person says not to use Myelinate for this subject or kind of request, skip this skill's …
- Very specific: line 18
Understand first, then card: If the learner can't explain it, teach it (tutor) before carding it.
- Distinctive: line 22
Don't touch existing decks: add new ones; never overwrite or merge without asking.
- Distinctive: line 59
Leave out: things they'll look up, things they'll never be asked, anything they can derive in seconds.
- Very specific: line 63
Ask which tool they use if unknown.
- Very specific: line 70
No tabs or line breaks inside a card.
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Flashcards
Cards exist for durable recall of what the learner already understands: fast, reliable access to facts, terms, relationships and steps so working memory is free for reasoning. A deck cannot create understanding, and a bad deck creates review debt and false confidence. Few, sharp cards beat many vague ones.
Paths like references/…, templates/… and examples/… are relative to this skill's folder, which carries its own copy of every file it names. Other Myelinate skills are siblings (../tutor/SKILL.md) and are installed as their own skills too. If a file is missing from your copy, fetch it from https://raw.githubusercontent.com/baney75/myelinate/main/ plus its path in the repository (references/…, skills/<name>/SKILL.md); if you can't fetch, work from this file and the router's core rules.
Stand down when it isn't wanted. If memory or the person says not to use Myelinate for this subject or kind of request, skip this skill's method and answer plainly; a slash command brings it back.
Evidence: retrieval practice and distributed practice are the two "high utility" study techniques (Dunlosky et al. 2013); repeated retrieval beats restudy at a week (Roediger & Karpicke 2006); successive relearning (3 correct recalls per item in the first session, then 1 correct recall in each of 3+ spaced sessions) raises college exam scores (Rawson & Dunlosky 2011; Rawson, Dunlosky & Sciartelli 2013). Card-writing rules below follow Matuschak ("How to write good prompts") and Wozniak ("20 rules of formulating knowledge").
0. Rules that override everything else
- Understand first, then card. If the learner can't explain it, teach it (
tutor) before carding it. - One retrieval per card. Atomic: one fact, one link, one step.
- Every back is checked against the course source or a reliable reference before delivery.
- Course wording and notation exactly as the course uses them; note where the textbook differs.
- Don't touch existing decks: add new ones; never overwrite or merge without asking.
1. What makes a good prompt
- Focused: one detail. "Describe glycolysis" is twenty cards.
- Precise: one acceptable answer. Add context to rule out reasonable alternatives: "In the proximal tubule, roughly what fraction of filtered Na⁺ is reabsorbed?" → about two-thirds (~65%).
- Consistent: produces the same answer every review.
- Tractable: answerable ~90% of the time once learned; break hard items down or add cue words.
- Effortful: real retrieval. No yes/no. No front that gives the back away by pattern.
- Short: back ideally one line. A paragraph back is several cards.
- No orphans: each card serves an objective. Skip completionism.
2. Card types, mix them per concept
A concept deserves several angles; this is what turns cards into understanding scaffolds rather than trivia.
| Type | Front → Back example |
| Fact | On a topographic map, what does one contour line connect? → points of equal elevation |
| Mechanism / why | Why does adding a resistor in series lower current at fixed voltage? → total resistance rises, so I = V/R falls |
| Cause → effect | In a basic supply-demand model, if supply increases and demand stays fixed, what happens to equilibrium price? → it falls |
| Contrast | How does a primary eyewitness account differ from a later historical synthesis? → direct testimony from the event versus an interpretation drawing on sources |
| Application | A history essay quotes a 1910 speech. Is that speech a primary source for the speaker's stated view? → yes |
| Procedure step | After choosing a common denominator for fraction addition, what comes next? → rewrite both fractions as equivalents with that denominator |
| Cloze (closed list/sequence) | Water cycle: evaporation, {{c1::condensation}}, precipitation |
| Image occlusion | Masked structure on a diagram → its name (one mask per card) |
| Definition ↔ term | Reverse only when both directions are tested (vocab, drug ↔ class) |
| Hook-assisted | Target fact on the front/back; the mnemonic (memory-hooks) as an optional hint line on the back, never the answer itself |
Interference control: confusable pairs (primary/secondary sources, area/perimeter, mitosis/meiosis) get an explicit contrast card instead of two near-identical prompts.
Image occlusion: mask every instance of the label, image text, other labels that give it away by elimination, caption, alt text, filename. Use licensed or course-supplied images only (find-media).
3. How many and which
- Per lesson: typically 6 to 15 cards. Per exam: weight cards by the study guide, not by what's easy to card.
- Prioritize: high-yield facts the reasoning depends on, confusable distinctions, mechanisms' key "why"s, frequently tested values and steps.
- Leave out: things they'll look up, things they'll never be asked, anything they can derive in seconds.
4. Export formats
Ask which tool they use if unknown. Default: Quizlet-ready block + readable table. Sets over ~20 cards: also deliver a file (.txt/.tsv/.md) and state the count.
Quizlet (Import → "Between term and definition: Tab", "Between cards: New line"):
Rate-limiting enzyme of glycolysis PFK-1
Effect of ↓pH on O₂-Hb curve Shifts right; more O₂ unloaded to tissueNo tabs or line breaks inside a card. If a back needs a line break, use a custom card separator (e.g., ;;) and say so.
Anki (File → Import; a plain-text file):
#separator:tab
#html:false
#tags column:3
Rate-limiting enzyme of glycolysis PFK-1 BIOL126::Exam2::MetabolismCloze cards go in a separate file with #notetype:Cloze and text like Hemoglobin's Hill coefficient is about {{c1::2.7}}. Hierarchical tags Course::Exam::Topic.
Obsidian Spaced Repetition plugin: Question::Answer (one line), Question:::Answer (also reversed), multi-line cards with a ? line between front and back, ==highlight== cloze; separate every card with a blank line (a multi-line card ends at a blank line); tag the note #flashcards/<course>.
In-chat drill: show fronts one at a time; learner answers; reveal and rate (again / hard / good / easy); misses requeue at the end of the round; finish with the miss list as a mini deck.
Inside a lab (lab): built-in review with a stored schedule (e.g., 1 → 3 → 7 → 14 → 30 days on "good", 10 minutes on "again"), plus Quizlet and Anki export buttons.
5. Scheduling and use
- Encourage an SRS (Anki/FSRS, Quizlet's spaced mode, Obsidian SR) over massed review.
- First session: 3 correct recalls per card. Then relearn to 1 correct in each of 3+ later sessions, days apart; adjust spacing to the exam date (
study-plan). - Say aloud or write the answer before flipping. Do not self-grade with "I knew that."
- Pair cards with application practice; cards alone don't produce transfer.
- Retire or rewrite cards that fail repeatedly (usually too big, ambiguous, or not understood). A leech is a teaching problem, not a discipline problem.
6. Quality check before delivering
- Every back verified against source; numbers and units correct
- Each card has exactly one answer; no yes/no; no giveaway fronts
- Mix includes why/contrast/application, not only facts
- No duplicates or near-duplicates; confusable pairs have contrast cards
- Format imports cleanly (one tab per line for Quizlet; headers for Anki)
- Count stated; tags/course labels applied
Anti-patterns
Paragraph backs · yes/no cards · cards before understanding · copying slide bullets verbatim as cards · 300-card decks for a 4-chapter exam · mnemonic as the answer · ambiguous prompts that accept several answers · reverse cards by default · overwriting the learner's existing decks.
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- anthropics/claude-for-legal★ 9.5ksame name
- flowing-abyss/obsidian-vault-skills★ 9same name
- Ic3b3rg/learn-skills★ 9same name
- yarikleto/claude-teacher-plugin★ 9same name
- shakhruz/mila-core★ 2same name
- leonardoaraujosantos/my_ai_skills★ 1same name
- dwfennell/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- myelinateSkill
- assessSkill
- assignmentSkill
- codeSkill
- course-projectSkill
- find-mediaSkill
- labSkill
- memory-hooksSkill
- myelinateSkill
- notesSkill
- printSkill
- projectSkill
- study-planSkill
- teachSkill
- tutorSkill
- verifySkill
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