A sophisticated vocabulary mastery tool that uses scientific memory algorithms and automated scheduling to ensure long-term retention of English words.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install word-memory
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install word-memory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Word Memory skill is a comprehensive learning assistant designed to transform how users acquire and retain new vocabulary. By leveraging the scientifically proven Ebbinghaus forgetting curve, it strategically schedules review sessions at optimal intervals (5m, 30m, 12h, 1d, etc.) to combat memory decay. This skill integrates seamlessly with professional dictionary APIs to provide rich context, including phonetic transcriptions, etymology, and example sentences.
Built as a part of the Openclaw Skills ecosystem, it offers a personalized learning environment where users can choose from pre-defined libraries like CET-4, GRE, or TOEFL, or even import their own custom word lists. The skill automates the tedious parts of language learning, such as tracking progress and scheduling push notifications, allowing the user to focus entirely on acquisition and mastery.
To install and configure the Word Memory skill within your environment, use the following steps:
# Install the skill via the Openclaw CLI
openclaw install word-memory
# Configure your daily push time and word count
openclaw config word-memory --push-time "08:00" --daily-new 20
# Select your target vocabulary library
openclaw run word-memory --set-library "CET-6"
The skill maintains a structured local database to track learning velocity and retention metrics. Data is stored in ~/.openclaw/workspace/word-memory/progress.json with the following taxonomy:
| Field | Description |
|---|---|
word_list |
The active vocabulary set (e.g., CET-4, GRE) |
learned |
Array of word objects containing next_review timestamps and mastery scores |
statistics |
Metadata including streak_days and avg_accuracy |
review_count |
Number of times a specific word has been successfully reviewed |
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