A cost-efficient AI reasoning engine that uses local CPU processing and structured hexagram logic to minimize LLM token consumption.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install zhuge-skill
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 zhuge-skill 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 Zhuge Liang AI Reasoning Strategist?
The Zhuge Liang AI Reasoning Strategist (zhuge-skill) is a revolutionary framework designed to move 90% of decision-making logic from expensive LLMs to local CPU execution. By integrating 5 major data sources (API-Football, The Odds API, etc.) with a 6-dimensional evaluation and 64-hexagram reasoning engine, it provides structured, high-accuracy predictions and strategies.
This skill is built for the Openclaw Skills ecosystem, prioritizing 'Crystallization'—the process of turning successful reasoning patterns into local reusable data. This ensures that the more you use the skill, the smarter and cheaper it becomes, as it reuses historical patterns instead of re-prompting an AI model for every single task.
Zhuge Liang AI Reasoning Strategist Use Cases
Array
How Zhuge Liang AI Reasoning Strategist Works
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Zhuge Liang AI Reasoning Strategist Setup
Install the skill into your Openclaw environment and configure the environment variables for data sources and your preferred LLM provider.
# Install dependencies
pip install -r requirements.txt
# Configure your environment in .env
API_FOOTBALL_KEY=your_key_here
DEEPSEEK_API_KEY=your_key_here
# Run the setup wizard
python start.py
Zhuge Liang AI Reasoning Strategist Data Schema & Taxonomy
The skill organizes data locally to ensure privacy and speed. Key files include:
| File | Description |
|---|---|
data/experience.jsonl |
Raw logs of every prediction and its outcome. |
data/crystals_local.jsonl |
Refined, high-confidence reasoning patterns generated locally. |
data/crystals_shared.jsonl |
Patterns pulled from the public community pool via Openclaw Skills synchronization. |
exports/ |
Markdown and JSON exports for sharing results manually. |
Zhuge Liang AI Reasoning Strategist Advanced Features
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SKILL.md
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