From grimoire
Decomposes words into roots, prefixes, and suffixes to accelerate vocabulary acquisition and improve retention in any language.
How this skill is triggered — by the user, by Claude, or both
Slash command
/grimoire:apply-morpheme-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Decompose target-language words into morphemes (roots, prefixes, suffixes) to understand word meaning through structure — accelerating vocabulary acquisition and enabling the learner to infer meanings of unfamiliar words from known morpheme components.
Decompose target-language words into morphemes (roots, prefixes, suffixes) to understand word meaning through structure — accelerating vocabulary acquisition and enabling the learner to infer meanings of unfamiliar words from known morpheme components.
Adopted by: Paul Nation's "Learning Vocabulary in Another Language" (the authoritative academic reference for vocabulary acquisition research) documents morphological knowledge as one of the most efficient vocabulary learning strategies. The Academic Word List (Coxhead, 2000) — the 570 most useful academic words in English — was designed specifically for morpheme-based teaching. K-12 reading instruction standards (Common Core ELA standards) incorporate morphological analysis at every grade level. Impact: Research by Kieffer & Lesaux (2007) shows that morphological awareness is one of the strongest predictors of reading comprehension and vocabulary growth — students who learn vocabulary morphologically acquire 60–70% more vocabulary than those using only rote memorization. Nation (2013) demonstrates that knowing 200 high-frequency morphemes provides access to 90%+ of academic vocabulary in English. The effect is multiplicative: each morpheme learned unlocks multiple new words; each known morpheme reduces the learning cost of the next related word.
Root morphemes: the core meaning-bearing unit; cannot be further decomposed. Examples:
Prefix morphemes: added before the root to modify meaning. Examples:
Suffix morphemes: added after the root; often change the word's grammatical category. Examples:
Languages differ in how morphologically productive they are:
Adjust the analysis approach to the target language's morphological character.
Start with the 20–30 most productive roots in the target language:
For English academic vocabulary, high-priority Latin/Greek roots:
For each root: learn the core meaning, 5+ example words, and 2–3 common prefixes and suffixes that combine with it.
Prioritization method: work from frequency lists (Academic Word List, frequency-ranked word lists for the target language) — high-frequency words whose roots appear in many other high-frequency words are highest priority.
When encountering an unfamiliar word:
Example: encountering circumnavigate:
Example: encountering malevolent:
To build morpheme knowledge:
Track learned morphemes in a vocabulary log: root → meaning → 5+ words containing it.
Morphemes are remembered through the same spaced repetition principles as vocabulary:
Morpheme-aware reading: when reading in the target language, mark words whose morphemes you recognize; use context + morpheme analysis as the first strategy before looking up the word.
npx claudepluginhub jeffreytse/grimoire --plugin grimoireBuilds a tiered, frequency-driven vocabulary system using spaced repetition, contextual exposure, and productive practice for long-term retention.
Traces word origins from modern forms through proto-language roots, identifies cognates across language families, documents semantic drift with dated attestations, and flags folk etymologies.
Tiers vocabulary from a text or topic into everyday, academic, and technical categories with teaching priorities. Use when pre-teaching vocabulary or identifying language barriers.