Will I lose my original notes during the rewrite?

No. The skill rewrites the daily note to include a 'Raw Capture' section that preserves your original input alongside the newly 'Normalized Word Tree'.

How does it determine the CEFR level of a word?

The skill performs real-time web searches across dictionary and language-learning sources, prioritizing explicit CEFR labels and noting any ambiguities found.

Does this skill only work for German?

While the repository examples focus on German, the skill's logic is designed to handle various languages within a standardized 'vocab/' directory structure.

How does it handle duplicate vocabulary items?

When updating cumulative CEFR files, the skill checks existing entries and only appends genuinely new words to ensure your master list remains clean.

Vocabulary Word Tree Creator

Name: Vocabulary Word Tree Creator
Author: aerkn1

byaerkn1

0•

Learning & Documentation

Transforms raw daily vocabulary notes into structured, CEFR-graded word trees with automated grammar expansion and level verification.

This skill streamlines language learning by transforming raw daily vocabulary notes into a highly organized, normalized markdown database. It automatically classifies entries by part of speech, expands words with essential grammar details like verb conjugations and noun articles, and verifies CEFR levels (A1-C2) using targeted web searches. By maintaining both daily snapshots and cumulative proficiency-based files, it helps students build a comprehensive, searchable language repository directly within their coding environment.

Key Features

01Automated changelog logging and hierarchical file organization for language directories.

02Automatic CEFR level verification via web search for accurate proficiency mapping.

030 GitHub stars

04Cumulative vocabulary tracking that prevents duplicate entries across proficiency levels.

05Intelligent grammar expansion including verb conjugations (v2/v3) and noun declensions.

06Standardized normalization of raw study notes into structured Markdown schemas.

Use Cases

01Organizing messy daily language notes into a structured, searchable study database.

02Generating comprehensive grammar reference sheets for new words without manual research.

03Verifying the difficulty level of new vocabulary against official CEFR standards automatically.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add aerkn1/lang-tutor create_word_tree

For use in Claude.ai and ChatGPT