A comprehensive technical framework for building, analyzing, and predicting the evolution of digital human personas and thematic mental models.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install proclaw-humanos-ultimate
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 proclaw-humanos-ultimate using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ProClaw HumanOS Ultimate is a high-level orchestration system designed to transform raw behavioral data into structured, executable personality models. By leveraging Openclaw Skills, this system provides a rigorous methodology for demand diagnosis, 6-dimensional parallel research, and 7-layer personality modeling. It allows developers to create digital twins or persona-based agents that possess deep psychological depth, including decision heuristics, value systems, and expressive DNA.
The framework moves beyond simple prompt engineering by implementing a full-path construction system. It utilizes advanced analysis techniques like paradox mining and neural network simulation to understand the internal tensions and future evolution of a persona. This makes it an essential tool for creating sophisticated AI agents that require high-fidelity character consistency and predictive behavioral capabilities.
To get started with this skill, ensure you have Python 3 installed. Install the required dependencies using pip:
pip install requests>=2.28.0 beautifulsoup4>=4.11.0 numpy>=1.21.0
Run the initial diagnostic to define your target persona:
python scripts/demand_diagnostic.py --input "Target description or persona name"
The system organizes data in a structured directory format to ensure consistency across Openclaw Skills workflows:
| Data Layer | Format | Contents |
|---|---|---|
| Research | Markdown | 6-dimensional files (writings, timeline, values, etc.) |
| Framework | JSON | Extracted mental models, decision heuristics, and DNA |
| Final Skill | Markdown | The executable SKILL.md with agentic protocols |
| Analysis | JSON | 8-dimension scans, 7-layer models, and axis tension data |
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