Build vocabulary retention with spaced repetition
vocabulary-acquisitionskillsetup L1★64
Tibsfox/gsd-skill-creator ↗What it does
Plan vocabulary acquisition and retention using spaced repetition science
Best for
Building efficient vocabulary progressions for any language by frequency-banding the 2,000-5,000 core word families that unlock independent reading
Inputs
- · target language word frequency list or corpus
- · learner current vocabulary size
- · available review time per day
Outputs
- · daily vocabulary targets (10-20 words optimal)
- · spaced repetition schedule (Leitner or SM-2)
- · cognate exploitation list (language-pair specific)
- · word family network (morphological relationships)
Requires
- · Anki or equivalent SRS software (optional but recommended)
- · word frequency lists (corpus-based)
Preconditions
Target language identified; learner able to commit 15-30 min daily to review; access to comprehensible input for contextual encoding
Failure modes
Learning >20 words/day creates unsustainable review backlog; massed cramming instead of spaced repetition yields rapid forgetting; decontextualized list memorization (no meaning attachment)
Trust signals
- · Nation (2001, 2006) research on vocabulary thresholds for reading comprehension (78-98% coverage mapped to word counts)
- · Ebbinghaus (1885) forgetting curve and 60% 24-hour loss quantified; spacing effect empirically demonstrated
- · Leitner and SM-2 algorithms with pseudocode; Anki's popularity documented (most-used SRS)
- · Cognate density by language pair with examples (English-French 27%, Spanish-Italian 82%)