# Universal Flashcard Generator

> A Claude skill from pinakdhabu/Exam-prompt.

- **Type:** Skill
- **Install:** `agentstack add skill-pinakdhabu-exam-prompt-flashcard-generator`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [pinakdhabu](https://agentstack.voostack.com/s/pinakdhabu)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [pinakdhabu](https://github.com/pinakdhabu)
- **Source:** https://github.com/pinakdhabu/Exam-prompt/tree/main/skills/flashcard-generator
- **Website:** https://pinakdhabu.github.io/Exam-prompt/

## Install

```sh
agentstack add skill-pinakdhabu-exam-prompt-flashcard-generator
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Universal Flashcard Generator

## Overview

Transforms any study material into exam-optimized flashcards. Uses cognitive science principles
(active recall, spaced repetition, elaboration, interleaving) to maximize retention. Generates
SRS-ready decks with proper scheduling metadata for long-term memory consolidation.

## How This Skill Works

1. **User provides**: Source material (notes, textbook chapters, syllabus topics, question papers,
   or any text)
2. **System analyzes**: Content structure, subject type, Bloom's level distribution, exam patterns
3. **System selects**: Optimal flashcard types based on content characteristics and learning goals
4. **System generates**: Formatted flashcard deck with SRS scheduling metadata
5. **System exports**: In requested format (Anki APKG, Quizlet CSV, plain text, or markdown)

## 1. Flashcard Types

### Type A — Basic Fact (Recall)

| Element           | Description                                      |
| ----------------- | ------------------------------------------------ |
| **Front**         | Direct question or prompt                        |
| **Back**          | Concise answer (1-3 sentences)                   |
| **Best for**      | Definitions, dates, formulas, terminology, lists |
| **Bloom's Level** | Remember                                         |
| **Example Front** | What is the time complexity of binary search?    |
| **Example Back**  | O(log n) in the average and worst case           |

### Type B — Cloze Deletion

| Element           | Description                                                                                   |
| ----------------- | --------------------------------------------------------------------------------------------- |
| **Front**         | Sentence with key term blanked: `The capital of France is {{c1::Paris}}`                      |
| **Back**          | Full sentence with revealed term                                                              |
| **Best for**      | Fill-in-the-blank style recall, language learning, definitions                                |
| **Bloom's Level** | Remember, Understand                                                                          |
| **Example Front** | The three pillars of {{c1::sustainable development}} are economic, social, and environmental. |

### Type C — Concept Association

| Element           | Description                                                                       |
| ----------------- | --------------------------------------------------------------------------------- |
| **Front**         | Concept, term, or scenario                                                        |
| **Back**          | Related concept, application, or counter-example                                  |
| **Best for**      | Linking related ideas, compare/contrast, "why" questions                          |
| **Bloom's Level** | Understand, Apply                                                                 |
| **Example Front** | How does DHCP differ from DNS?                                                    |
| **Example Back**  | DHCP assigns IP addresses dynamically; DNS resolves domain names to IP addresses. |

### Type D — Multi-Step Problem

| Element           | Description                                         |
| ----------------- | --------------------------------------------------- |
| **Front**         | Problem or calculation                              |
| **Back**          | Step-by-step solution with reasoning                |
| **Best for**      | Numerical problems, derivations, proofs, algorithms |
| **Bloom's Level** | Apply, Analyze                                      |
| **Example Front** | Solve: Find the determinant of [[2,3],[1,4]]        |
| **Example Back**  | det = (2*4) - (3*1) = 8 - 3 = 5                     |

### Type E — Application Scenario

| Element           | Description                                                                               |
| ----------------- | ----------------------------------------------------------------------------------------- |
| **Front**         | Real-world scenario or case snippet                                                       |
| **Back**          | Diagnosis, solution, or analysis                                                          |
| **Best for**      | Case studies, clinical scenarios, engineering design, business cases                      |
| **Bloom's Level** | Analyze, Evaluate                                                                         |
| **Example Front** | A user reports "Connection refused" when accessing port 443 on a server. What is likely?  |
| **Example Back**  | The service on port 443 (likely HTTPS) is not running or a firewall is blocking the port. |

### Type F — Compare & Contrast

| Element | Description | | ----------------- |
--------------------------------------------------------- |
-------------------------------------------------- | | **Front** | Two related concepts | | **Back**
| Structured comparison (similarities / differences table) | | **Best for** | Comparative questions,
distinguishing confusable concepts | | **Bloom's Level** | Analyze | | **Example Front** | Compare
TCP vs UDP | | **Example Back** | TCP: connection-oriented, reliable, ordered, slower | UDP:
connectionless, unreliable, unordered, faster |

## 2. Difficulty Tiers

| Tier                     | Question Style                                        | Cognitive Load | Use Case                                     |
| ------------------------ | ----------------------------------------------------- | -------------- | -------------------------------------------- |
| **Tier 1 — Recognition** | Multiple choice, true/false, "which of the following" | Low            | Initial learning, building confidence        |
| **Tier 2 — Recall**      | Direct question, cloze deletion, fill-in-the-blank    | Medium         | Active recall practice, memory consolidation |
| **Tier 3 — Application** | Scenario-based, problem-solving, "why/how" questions  | High           | Deep understanding, exam readiness           |

Each deck includes a progression path: Tier 1 -> Tier 2 -> Tier 3.

## 3. SRS Scheduling Metadata

Every generated flashcard includes these scheduling fields for SRS system import:

| Field          | Example           | Description                          |
| -------------- | ----------------- | ------------------------------------ |
| `Deck`         | Computer Networks | Subject or chapter name              |
| `Tag`          | cn_3_transport    | Hierarchical topic tag               |
| `Due`          | 2026-05-24        | Next review date                     |
| `Interval`     | 1                 | Days until next review (starts at 1) |
| `Ease`         | 250               | Starting ease factor (default 250%)  |
| `Difficulty`   | 3                 | Card difficulty (1=Easy, 5=Hard)     |
| `LastReviewed` | 2026-05-23        | Last review timestamp                |

## 4. Export Formats

| Format         | Extension | Compatible With                           | Notes                          |
| -------------- | --------- | ----------------------------------------- | ------------------------------ |
| **Anki**       | .apkg     | Anki desktop, AnkiDroid, AnkiMobile       | Full SRS metadata preserved    |
| **CSV**        | .csv      | Anki import, Quizlet, Excel, custom tools | Tab-separated by default       |
| **Markdown**   | .md       | Any markdown renderer, Obsidian, Notion   | Readable, version-controllable |
| **Plain Text** | .txt      | Any text editor                           | Minimal formatting             |
| **JSON**       | .json     | Programmatic processing                   | Structured data export         |

### International Export Examples

#### Example CSV Header

```csv
Front, Back, Tags, Deck, Due
```

#### Example Quizlet Import Format

| Front            | Back                          | Tags     |
| ---------------- | ----------------------------- | -------- |
| What is TCP?     | Transmission Control Protocol | cn_unit3 |
| Define OSI model | 7-layer conceptual model      | cn_unit1 |

#### JSON Export Schema

```json
{
  "deck": "Subject_Unit",
  "cards": [
    {
      "front": "Question text",
      "back": "Answer text",
      "tags": ["tag1", "tag2"],
      "due": "2026-06-01",
      "interval": 1,
      "ease": 250,
      "difficulty": 3
    }
  ]
}
```

#### Anki APKG Packaging Note

APKG files are SQLite databases with a `collection.anki21` table containing the card/note data and a
media directory for images/audio. The system generates APKG-format output compatible with Anki 2.1+.
Import via: Anki Desktop → File → Import → Select .apkg file.

## 5. Generation Modes

### Mode 1 — From Lecture Notes

- Input: Raw notes or textbook chapters
- Output: Comprehensive deck covering all key concepts
- Algorithm: Extract definitions, named concepts, lists, important figures, and causal relationships

### Mode 2 — From Syllabus

- Input: Syllabus topics and subtopics
- Output: Coverage-optimized deck ensuring every syllabus point has at least one card
- Algorithm: Map syllabus items to question templates

### Mode 3 — From PYQs

- Input: Previous year question papers
- Output: Exam-focused deck targeting historically tested concepts
- Algorithm: Frequency-weight topics and generate cards proportional to historical importance

### Mode 4 — Exam Cram

- Input: High-priority topics (from imp topics analysis)
- Output: Condensed deck covering only high-probability questions
- Algorithm: Selects Tier 1 and Tier 2 cards for fastest coverage

## 6. Deck Organization

```
Subject Name/
  Unit 1 - Topic Name/
    Section 1.1 - Subtopic/
      [F] Definition of concept X
      [C] Cloze: The three types of Y are ___
      [P] Problem: Calculate Z given W
    Section 1.2 - Subtopic/
      ...
  Unit 2 - Topic Name/
    ...
  Cross-Unit Connections/
    [A] How does concept A from Unit 1 relate to concept B from Unit 3?
```

Prefix legend: `[F]` = Fact, `[C]` = Cloze, `[P]` = Problem, `[A]` = Association, `[S]` = Scenario

## 7. Active Recall Triggers

For each card, the system adds memory-triggering cues:

- **Visual cues**: Parent diagram references "(see Fig 3.2 in textbook)"
- **Mnemonic triggers**: Acronym hints (e.g., "PEMDAS: Parentheses, Exponents...")
- **Association chains**: "This concept is related to X which you studied in Unit 2"
- **Contrast prompts**: "Not to be confused with Y (see card #42)"

## 8. Common Use Cases

| Scenario                   | Mode                 | Card Types | Deck Size (approx) |
| -------------------------- | -------------------- | ---------- | ------------------ |
| Learning a new subject     | From Lecture Notes   | A, B, C    | 200-500 cards      |
| Exam revision (1 week)     | From PYQs + Syllabus | A, B, D    | 100-300 cards      |
| Last-night cramming        | Exam Cram            | A, B       | 50-100 cards       |
| Language vocabulary        | From Lecture Notes   | A, B       | 500-1000 cards     |
| Medical/legal memorization | From Syllabus        | A, B, C, E | 500-2000 cards     |
| Formula revision           | From Syllabus        | D          | 30-100 cards       |

## 9. Example

**User**: Generate flashcards for Computer Networks Unit 3 (Transport Layer) for SPPU TE Comp.
Include TCP, UDP, congestion control.

**System generates**:

```
Deck: SPPU_TE_CN_Unit3

Card 1 [F]: What does TCP stand for?
Back: Transmission Control Protocol

Card 2 [C]: {{c1::TCP}} is connection-oriented, while {{c2::UDP}} is connectionless.

Card 3 [D]: A sender uses AIMD with cwnd=16 MSS. After packet loss, what is the new cwnd in TCP Reno?
Back: cwnd = 16/2 = 8 MSS (multiplicative decrease)

Card 4 [E]: A video streaming app uses UDP. Why?
Back: Streaming tolerates minor packet loss but requires low latency. UDP provides faster delivery without retransmission delays.

... (full deck generated)
```

## 10. Export Command (for Anki)

```
# The generated .apkg file can be imported via:
# Anki Desktop: File > Import > Select .apkg
# AnkiDroid: Tap + > Import .apkg
# AnkiMobile: Share > Open in Anki

# CSV format follows Anki's preferred tab-separated schema:
# Front\tBack\tTags\tDeck
```

## Session Config

This skill integrates with the session config system (`deps/session-profile.json`). Before
executing, check for an existing session profile:

- If `deps/session-profile.json` exists, read `university`, `subject`, `pattern`, and `exam_type`
  fields to auto-configure the skill.
- If the file does not exist, fall back to user-provided context or prompt the user to run
  `setup-exam-prompt` (or `npm run init`) first.
- Session config eliminates redundant context detection — detection happens once and is reused
  across all skill calls.

---

## Error Handling

| Situation                 | Action                                                                                                             |
| ------------------------- | ------------------------------------------------------------------------------------------------------------------ |
| Source material too short | Respond: "Material too sparse for flashcard generation. Minimum of 500 characters of meaningful content required." |
| Unsupported file format   | Respond: "Unsupported format. Accepted formats: PDF, DOCX, TXT, MD, or pasted text."                               |
| SRS metadata conflict     | Auto-resolve by prioritizing session config defaults over card-level overrides                                     |
| Export format failure     | Log error, fall back to Markdown export, notify user of format limitation                                          |

## Quality Gate — Check Before Output

- [ ] Every syllabus point has at least one corresponding flashcard
- [ ] No duplicate cards (same front text across different cards)
- [ ] Difficulty progression exists (Tier 1 → Tier 2 → Tier 3 cards)
- [ ] SRS metadata fields are populated for all cards
- [ ] Export format matches user's requested format exactly
- [ ] Deck naming convention follows `University_Subject_Unit` pattern

## 11. Integration with Other Skills

| Skill                                | Integration                                                    |
| ------------------------------------ | -------------------------------------------------------------- |
| **universal-session-config**         | Reads university/subject/pattern from session profile          |
| **universal-notes-generator**        | Takes generated notes as input and converts them to flashcards |
| **universal-pyq-analyzer**           | Uses PYQ frequency analysis to weight card importance          |
| **universal-imp-topics-generator**   | Generates cram-mode decks from imp topics output               |
| **universal-mcq-practice-generator** | Creates exam-simulated MCQ practice from same material         |

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [pinakdhabu](https://github.com/pinakdhabu)
- **Source:** [pinakdhabu/Exam-prompt](https://github.com/pinakdhabu/Exam-prompt)
- **License:** MIT
- **Homepage:** https://pinakdhabu.github.io/Exam-prompt/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-pinakdhabu-exam-prompt-flashcard-generator
- Seller: https://agentstack.voostack.com/s/pinakdhabu
- Browse the marketplace: https://agentstack.voostack.com/browse

---
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