Install
$ agentstack add skill-jayrha-agentskills-flashcard-generator ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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
- Identify the learning goal. What must the user be able to recall or do? Cards should serve that goal, not just restate text.
- Extract atomic facts. Break the material into the smallest meaningful units. One card = one fact. Split any "and"/list-laden card.
- 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.
- Formulate for recall, not recognition. Questions must have a specific, unambiguous answer. Avoid yes/no and "list everything about X" cards.
- Apply the minimum information principle. Simple, short cards review faster and stick better than dense ones.
- Add context only when needed to disambiguate (e.g. tag the subject) — but keep cues out of the answer.
- Review for interference — cards that are too similar cause mix-ups. Differentiate them.
- Export. Produce a clean list and/or run
scripts/to_anki_csv.pyto generate an Anki-importable file (Basic and Cloze note types).
Decision Framework
| Fact shape | Card type | | --- | --- | | Single discrete fact | Basic Q→A | | Fact inside a sentence/definition | Cloze | | Term you must recall both ways | Basic + reverse | | Enumeration/list | Split into N cards, or cloze each item, or use a mnemonic card | | Procedure/steps | One 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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: JayRHa
- Source: JayRHa/AgentSkills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.