A framework to distill the thinking patterns of famous figures into structured six-layer cognitive models for expert-level problem analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wukong
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 wukong 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 Wukong?
Wukong is a powerful persona distillation and summoning framework designed to help AI agents think like world-class experts. By analyzing the thinking DNA of historical figures, business leaders, or scientists, this tool within the Openclaw Skills ecosystem extracts structured mental models. It goes beyond simple roleplay by deconstructing a person's decision heuristics, value systems, and cognitive boundaries.
The skill enables developers and researchers to build a library of high-level perspectives. Whether you need the marketing intuition of Steve Jobs or the investment logic of Charlie Munger, Wukong provides a standardized way to store and retrieve these mental frameworks for any complex task.
Wukong Use Cases
- Analyzing business strategies using the mental models of successful CEOs.
- Making investment decisions based on the distilled heuristics of famous investors.
- Debugging creative blocks by summoning the perspective of legendary artists.
- Evaluating ethical dilemmas through the value systems of historical philosophers.
- Improving communication by adopting the expression DNA of master orators.
How Wukong Works
- The user triggers the skill by requesting to distill a specific persona and field (e.g., Distill Elon Musk for Engineering).
- The agent performs a deep analysis across six layers: Expression DNA, Mental Models, Decision Heuristics, Anti-patterns, Values, and Honesty Boundaries.
- The distilled insights are formatted into a structured Markdown file.
- The agent saves the persona to a local directory and updates the central registry for future use.
- When prompted, the agent summons these stored personas to analyze specific user problems and provide strategic recommendations.
Wukong Setup
To integrate Wukong into your workflow, ensure your environment supports file system operations. Create the necessary directory structure for your Openclaw Skills:
mkdir -p wukong/personas wukong/references
touch wukong/registry.md
Place the SKILL.md file in your agent's skill path to activate the distillation and summoning triggers.
Wukong Data Schema & Taxonomy
Wukong maintains a structured file hierarchy to manage cognitive models effectively. The data is organized as follows:
| Path | Purpose | Format |
|---|---|---|
wukong/registry.md |
A central index of all currently distilled personas. | Markdown Table |
wukong/personas/ |
Storage for individual persona model files (e.g., jobs-marketing.md). |
Markdown |
wukong/references/ |
Contains templates and examples to maintain distillation quality. | Markdown |
wukong/SKILL.md |
The core logic and instruction set for the agent. | Markdown |
Wukong Advanced Features
- Six-layer distillation framework ranging from surface-level style to core epistemic boundaries.
- Persistent local storage of personas, allowing for an offline library of elite thinking patterns.
- Automatic registry updates to ensure all distilled models are searchable by the agent.
- Cross-persona synthesis where multiple models can be summoned to provide a multi-perspective analysis on a single problem within the Openclaw Skills environment.
- Anti-pattern identification to warn users about what a specific figure would specifically avoid doing.
SKILL.md
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