flashcard-forge

Flashcard Forge

Turn walls of text into decks you'll actually review.

Flashcard Forge is a skill that transforms study material (PDFs, lecture notes, articles, textbook chapters) into spaced-repetition flashcards. It extracts key facts, definitions, and Q&A pairs using regex patterns and sentence-structure analysis, then exports Anki-importable CSV files.

When to Use

Activate this skill when you need to:

• Convert a textbook chapter or lecture transcript into flashcards
• Extract definitions, key facts, or Q&A from a body of text
• Generate cloze (fill-in-the-blank) cards for memorization
• Produce Anki-importable CSV from raw notes
• Study for an exam by turning reading material into active recall cards

Modes

Q&A Mode (--mode qa)

Extracts question-answer pairs and definition pairs:

• Definition patterns: "X is defined as Y", "X refers to Y", "X means Y"
• Explicit questions: sentences containing "What/Why/How/When/Where" markers
• List patterns: "There are N types of X: A, B, C"
• Cause/effect: "X causes Y", "X results in Y"
• Comparison: "Unlike X, Y does Z"

Cloze Mode (--mode cloze)

Generates fill-in-the-blank cards by identifying key terms in each sentence and masking them:

• Nouns and proper nouns are candidates for clozing
• Numbers, dates, and named entities are high-priority cloze targets
• Each card uses Anki's {{c1::...}} cloze syntax

Auto Mode (--mode auto, default)

Runs both modes and merges results, deduplicating by question text.

Quick Reference

How It Works

1. Read & clean — load the text, normalize whitespace, strip markdown artifacts.
2. Segment — split into sentences using punctuation-aware tokenization.
3. Extract — apply regex patterns (see references/extraction-patterns.md) to find definitions, Q&A, lists, cause/effect, and comparisons.
4. Rank — score each candidate by information density (presence of key terms, numbers, definitions).
5. Deduplicate — remove near-identical cards using Jaccard similarity.
6. Export — write Anki-importable CSV (semicolon-separated, quoted) or JSON.

See references/anki-import.md for how to import the CSV into Anki.

Files

• references/extraction-patterns.md — catalog of regex extraction patterns
• references/anki-import.md — step-by-step Anki import guide
• references/study-strategies.md — best practices for flashcard-based learning
• scripts/flashcard_forge.py — the main extraction and export script
• scripts/sample_text.txt — example input demonstrating all pattern types

Common Pitfalls

1. Over-generation. A long text can produce hundreds of mediocre cards. Use --max-cards to cap output and --min-length to filter trivial sentences.

2. CSV delimiter conflicts. Anki expects semicolon-separated values for basic cards. The script handles quoting automatically; don't open the CSV in Excel and re-save (it may change the delimiter).

3. Cloze mode needs cloze note type. Cloze cards only work with Anki's "Cloze" note type, not "Basic." See references/anki-import.md.

4. Poor input quality. Garbled OCR or deeply nested markdown confuses the sentence segmenter. Pre-clean the text for best results.

5. Duplicates across runs. The dedup step is within-file only. If you merge multiple outputs, dedup manually or use --format json and post-process.

Verification Checklist

• Input text is reasonably clean (no raw HTML, minimal OCR artifacts)
• Chosen mode matches your Anki deck type (qa → Basic, cloze → Cloze)
• --max-cards set if the input is large
• CSV opens correctly in a text editor (fields quoted, semicolon-separated)
• Test-imported into Anki and reviewed 5-10 cards for quality

License

MIT © Denis Voronin