Generate CEFR-split word tree markdown files from daily vocabulary notes.
npx skills add https://github.com/aerkn1/lang-tutor --skill create-word-tree
Please help me install this Agent Skill. Skill: create_word_tree Source: https://github.com/aerkn1/lang-tutor/tree/main/.codex/skills/create_word_tree Command: npx skills add https://github.com/aerkn1/lang-tutor --skill create-word-tree
This Skill automates the process of organizing vocabulary from daily notes into structured, CEFR-leveled word trees, making language learning more systematic and efficient.
Use the create_word_tree skill to process the vocabulary in the german language folder for today.
High-intent search queries and answers about installing and using this skill.
To organize daily vocabulary notes by CEFR level, this Skill extracts words from dated daily notes, verifies their CEFR levels via web search, and generates structured per-level markdown files. It also normalizes the original notes and updates cumulative vocabulary lists.
Yes, you can expand vocabulary entries with grammatical details. The Skill enriches words extracted from your daily notes by adding relevant grammatical forms, including verb conjugations and noun declensions, before assigning them to the appropriate CEFR level.
The best way to build a cumulative CEFR vocabulary list is to process your daily notes through this Skill, which sorts words by part of speech, verifies their levels, and appends them to master markdown files organized from A1 to C2.
No, this vocabulary normalization tool requires no external dependencies to function. It operates independently to parse your daily language notes, expand grammatical forms, verify CEFR levels, and generate your structured word trees.
CEFR leveling works by performing a web search to verify the correct proficiency level of each vocabulary item extracted from your daily notes. Once verified, the word is sorted into its respective A1 through C2 markdown file.
Yes, you can organize vocabulary by part of speech in your CEFR word tree. The Skill structures the generated markdown files by grouping normalized vocabulary entries under their respective grammatical categories before finalizing the CEFR level assignment.
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