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Flashcard generator

Skill JayRHa/AgentSkills/flashcard-generator

The largest community-driven library of Agent Skills (SKILL.md + scripts/references/examples) for Claude, Codex, Gemini CLI, Cursor and friends.

Install
npx -y skills add JayRHa/AgentSkills --skill flashcard-generator

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Turns notes, articles, or a topic into high-quality spaced-repetition flashcards that follow proven formulation principles — atomic, minimum-information, cloze deletions, and active recall — ready to import into Anki or any SRS. Use this skill when the user asks to "make flashcards", "create Anki cards", "turn these notes into flashcards", "help me memorize X", "generate study cards", or "make cloze deletions". Produces clean Q/A pairs and can export to Anki-importable CSV.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.1 KB, as published. Nobody here has run it

Flashcard Generator

Overview

Convert material into flashcards that are actually effective for long-term memory: each card tests one atomic fact, is phrased for active recall, and is unambiguous. Follow the formulation principles in references/card-principles.md (based on SuperMemo's "20 rules" and spaced-repetition research).

Keywords: flashcards, Anki, spaced repetition, SRS, active recall, cloze deletion, memorization, study cards, Q&A, mnemonics, learning.

Workflow

  1. Identify the learning goal. What must the user be able to recall or do? Cards should serve that goal, not just restate text.
  2. Extract atomic facts. Break the material into the smallest meaningful units. One card = one fact. Split any "and"/list-laden card.
  3. Choose a card type per fact (see references/card-principles.md):
    • Basic Q/A — for a single fact ("What year…?", "What does X do?").
    • Cloze deletion — for facts embedded in a sentence (The {{c1::mitochondria}} is the powerhouse of the cell).
    • Reversed — when recall is needed both directions (term↔definition).
    • Image/application — for procedures or visual recall.
  4. Formulate for recall, not recognition. Questions must have a specific, unambiguous answer. Avoid yes/no and "list everything about X" cards.
  5. Apply the minimum information principle. Simple, short cards review faster and stick better than dense ones.
  6. Add context only when needed to disambiguate (e.g. tag the subject) — but keep cues out of the answer.
  7. Review for interference — cards that are too similar cause mix-ups. Differentiate them.
  8. Export. Produce a clean list and/or run scripts/to_anki_csv.py to generate an Anki-importable file (Basic and Cloze note types).

Decision Framework

Fact shapeCard type
Single discrete factBasic Q→A
Fact inside a sentence/definitionCloze
Term you must recall both waysBasic + reverse
Enumeration/listSplit into N cards, or cloze each item, or use a mnemonic card
Procedure/stepsOne card per step, or "what comes after step N?"

Worked Example

Source: "The TCP three-way handshake establishes a connection using SYN, SYN-ACK, and ACK."

Bad (not atomic, recognition-only):

Q: Describe the TCP handshake. → A: It uses SYN, SYN-ACK, ACK to set up a connection.

Good (atomic, recall):

Q: How many steps are in the TCP connection handshake?  → A: Three
Q: What does the client send first to open a TCP connection?  → A: SYN
Q: What does the server reply with after receiving a SYN?  → A: SYN-ACK
Q: What does the client send to complete the TCP handshake?  → A: ACK
Cloze: The TCP handshake is {{c1::SYN}} → {{c2::SYN-ACK}} → {{c3::ACK}}.

See examples/photosynthesis-cards.md for a full set.

Best Practices

  • One fact per card — atomic and minimal.
  • Active recall: the question forces retrieval, not recognition.
  • Unambiguous answers — exactly one correct response.
  • Cloze for context-bound facts; basic Q/A for discrete facts.
  • Keep cards short; brevity speeds reviews and aids retention.
  • Understand before memorizing — never make cards for things you don't understand.

Common Pitfalls

  • Sets/lists on one card ("name all 8 planets") — split them.
  • Recognition cards (yes/no, multiple-choice phrased as recall).
  • Ambiguous questions with several valid answers.
  • Cards that leak the answer in the question's wording.
  • Interference from near-identical cards.
  • Memorizing without understanding — leads to brittle, useless recall.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.