Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Wanikani
Sync WaniKani Japanese learning progress data from the API to local storage for analysis and insights. Use when the user wants to backup their WaniKani progr...
skill openclawclawhub Free
Sync WaniKani Japanese learning progress data from the API to local storage for analysis and insights. Use when the user wants to backup their WaniKani progr...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/sync.py, scripts/queries.py, references/example-queries.sql, references/api-structure.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- mart1n-xyz
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
WaniKani Sync
Sync your WaniKani progress data locally for analysis and insights generation.
Overview
This skill provides tools to fetch your WaniKani learning progress via the API and store it locally in SQLite. Once synced, you (or other services) can query the data to generate statistics, track learning patterns, visualize progress, and more.
Getting Your API Token
Log into WaniKani Go to Settings โ API Tokens Generate a new token (or use existing one) Copy the token (looks like a long alphanumeric string) Security Note: Keep your token private. Never commit it to git or share it publicly.
Sync All Data
# Using environment variable (recommended) export WANIKANI_API_TOKEN="your-token-here" python3 scripts/sync.py # Or pass token directly (less secure) python3 scripts/sync.py --token "your-token-here" # Store in specific directory python3 scripts/sync.py --data-dir ~/wanikani-data
Sync Specific Data
# Only user info python3 scripts/sync.py --user-only # Only assignments (your progress on subjects) python3 scripts/sync.py --assignments-only # Only reviews python3 scripts/sync.py --reviews-only
Force Full Sync
By default, the script does incremental sync (only fetching data updated since last sync). To force a full refresh: python3 scripts/sync.py --full
Database Schema
The sync creates a wanikani.db SQLite database with these tables:
user
Your account info including level, subscription status, and start date.
assignments
Your progress on each subject (radicals, kanji, vocabulary). Tracks SRS stage, unlock/start/pass/burn timestamps.
level_progressions
Your journey through WaniKani levels with unlock/start/pass/completion timestamps.
reviews
Your review history with correctness counts and SRS stage changes.
review_statistics
Aggregated statistics per subject (correct/incorrect counts, streaks, percentages).
resets
Account reset history.
subjects
The actual learning content (kanji, vocabulary, radicals) with characters, meanings, readings, and mnemonics. Sync subjects with: # Sync all subjects (can be large!) python3 scripts/sync.py --subjects-only # Sync only specific levels (recommended) python3 scripts/sync.py --with-subjects --subject-levels 1,2,3,4,5 # Include subjects in full sync python3 scripts/sync.py --with-subjects
sync_meta
Internal table tracking last sync timestamps for incremental updates.
Common Queries
-- Current SRS stage distribution SELECT srs_stage, COUNT(*) FROM assignments GROUP BY srs_stage; -- Items burned per level SELECT level, COUNT(*) FROM assignments WHERE burned_at IS NOT NULL GROUP BY level; -- Average accuracy by subject type SELECT subject_type, AVG(percentage_correct) FROM review_statistics GROUP BY subject_type; -- Reviews done in last 7 days SELECT DATE(created_at) as day, COUNT(*) FROM reviews WHERE created_at > datetime('now', '-7 days') GROUP BY day; -- Time spent at each level SELECT level, started_at, passed_at, CASE WHEN passed_at IS NOT NULL THEN julianday(passed_at) - julianday(started_at) ELSE NULL END as days_to_pass FROM level_progressions WHERE started_at IS NOT NULL; -- Most problematic items (with subject characters) SELECT s.characters, s.object as type, rs.meaning_incorrect + rs.reading_incorrect as fails, rs.percentage_correct as accuracy FROM review_statistics rs JOIN subjects s ON rs.subject_id = s.id WHERE rs.percentage_correct < 75 ORDER BY fails DESC LIMIT 20; -- Current leeches (Apprentice stage, failing often, with kanji) SELECT s.characters, s.object as type, a.srs_stage, rs.meaning_incorrect + rs.reading_incorrect as total_fails, rs.percentage_correct FROM review_statistics rs JOIN assignments a ON rs.subject_id = a.subject_id JOIN subjects s ON rs.subject_id = s.id WHERE a.srs_stage BETWEEN 1 AND 4 AND rs.percentage_correct < 80 ORDER BY total_fails DESC LIMIT 15;
API Notes
Rate limit: 60 requests/minute All API requests use the v2 revision 20170710 Incremental sync uses updated_after filter to minimize API calls See references/api-structure.md for complete endpoint documentation
Query Tools
After syncing, use the query helper for common reports: # Show your worst leeches (items that keep falling back) python3 scripts/queries.py leeches # Show SRS distribution (Apprentice/Guru/Master/etc counts) python3 scripts/queries.py srs # Show level progression timeline python3 scripts/queries.py levels # Show critical items at risk of falling back python3 scripts/queries.py critical # Show accuracy by subject type python3 scripts/queries.py accuracy See references/example-queries.sql for raw SQL you can run directly on the database.
Files
scripts/sync.py - Main sync tool with CLI scripts/queries.py - Query helper with common reports references/api-structure.md - WaniKani API reference references/example-queries.sql - SQL query examples
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts1 Files
- SKILL.md
- references/api-structure.md
- scripts/queries.py
- scripts/sync.py
- references/example-queries.sql