An automated tool to convert AI-analyzed SGF game records into interactive Go practice puzzles for skill improvement.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weiqi-move
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install weiqi-move using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Weiqi Move - AI Go Practice & Analysis?
Weiqi Move is a sophisticated utility designed for Go enthusiasts to learn from professional or personal games. By leveraging AI analysis data within SGF files, it extracts critical decision points and generates a standalone interactive HTML environment for practice. This tool helps players bridge the gap between AI recommendations and real-world play, making it a valuable addition to the ecosystem of Openclaw Skills.
The skill intelligently identifies optimal moves versus actual match performance, providing users with a hands-on way to review their games. It supports popular AI formats including FoxWQ, KataGo, and XingZhen, ensuring broad compatibility for serious students of the game.
Weiqi Move - AI Go Practice & Analysis Use Cases
- Reviewing personal game records to identify and learn from critical blunders.
- Creating interactive Go study materials from professional tournament matches.
- Practicing specific game phases such as opening layouts or complex endgames.
- Testing alternative variations in a sandbox mode to understand AI logic.
How Weiqi Move - AI Go Practice & Analysis Works
- The tool parses an SGF file containing AI analysis data using a specialized Python parser.
- It analyzes the win-rate data in the comments to identify moves with significant deviations from the AI's top choice.
- A selection of problems is filtered based on user-defined parameters like difficulty (blunder to hard) and game phase.
- The script generates a single-file interactive HTML dashboard containing a Canvas-based Go board.
- Users interact with the generated webpage to solve problems, hear audio feedback, and explore branching variations.
Weiqi Move - AI Go Practice & Analysis Setup
Ensure you have Python 3.6 or higher installed. This skill uses standard libraries and requires no external dependencies.
# Generate a standard quiz with 5 problems (prioritizing blunders)
python3 scripts/quiz.py game.sgf
# Generate 20 problems specifically for the mid-game phase
python3 scripts/quiz.py game.sgf -n 20 --phase middle
# Export a blunder-only quiz to a specific file
python3 scripts/quiz.py game.sgf -t blunder -o my_mistakes.html
Weiqi Move - AI Go Practice & Analysis Data Schema & Taxonomy
The skill organizes data into a structured interactive format. Below is the metadata taxonomy used during generation:
| Attribute | Description | Values |
|---|---|---|
| Problem Type | Difficulty based on win-rate delta | blunder (>20%), easy, medium, hard |
| Phase | Stage of the game based on move count | layout (<=60), middle (60-180), endgame (>180) |
| Format | Supported AI SGF comment styles | foxwq, katago, xingzhen |
| Assets | Embedded media | Audio (stone placement, capture, feedback) and Canvas rendering |
Weiqi Move - AI Go Practice & Analysis Advanced Features
- Blunder Detection: Highlights moves where the player's choice was at least 20% less efficient than the AI's top recommendation.
- Interactive Trial Play: A sandbox mode allowing players to test custom sequences with full capturing and ko rule logic.
- SGF Exporting: Save the current state, including trial variations and AI branches, back into a standard SGF file.
- Extensible Adapters: Developers can add new format adapters to support additional AI analysis engines within the Openclaw Skills framework.
- Mobile-Ready UI: Responsive design ensures the practice interface works seamlessly on both desktop and mobile browsers.
SKILL.md
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