Sync WaniKani Japanese learning progress to a local SQLite database for offline analysis, progress tracking, and custom insights.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wanikani-sync
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 wanikani-sync using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
WaniKani Sync is a robust technical tool designed for students of the Japanese language who want deeper control over their SRS learning data. By leveraging the official API, this skill mirrors your entire learning history—including radicals, kanji, vocabulary, and review performance—into a structured local SQLite database. As part of the ecosystem of Openclaw Skills, it empowers developers and language learners to break free from web-only interfaces and perform complex data analysis on their own terms.
To integrate this tool into your workflow of Openclaw Skills, follow these configuration steps:
# 1. Set your WaniKani API Token as an environment variable
export WANIKANI_API_TOKEN="your_api_token_here"
# 2. Run the main sync script (ensure python3 is installed)
python3 scripts/sync.py --with-subjects
# 3. Use the query helper to view your progress statistics
python3 scripts/queries.py srs
The skill organizes learning data into a structured SQLite database (wanikani.db) with the following primary tables:
| Table | Description |
|---|---|
user |
Account details, current level, and subscription status. |
assignments |
Current progress for each subject, including SRS stages and timestamps. |
level_progressions |
Records of when each level was started and passed. |
reviews |
Granular history of every review session performed. |
subjects |
Metadata for radicals, kanji, and vocabulary including mnemonics. |
review_statistics |
Calculated accuracy and failure counts per individual item. |
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