A lightweight emotional presentation layer for AI companions using RLHF and dynamic weighted algorithms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install project-aura
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 project-aura using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Project Aura is a specialized framework designed to provide AI agents with a sophisticated Emotional Presentation Layer. As part of the Openclaw Skills ecosystem, it allows developers to move beyond static responses by implementing seven distinct personality modules that range from lighthearted flirting to deep emotional transcendence. The toolkit focuses on adding depth and personality to AI interactions, making companions feel more human and responsive to user needs.
By integrating this skill, developers can leverage a privacy-first, local-only storage system that ensures user data remains secure while the AI learns through a Reinforcement Learning from Human Feedback (RLHF) mechanism. Project Aura is the ideal solution for those looking to build more engaging and emotionally resonant AI agents using Openclaw Skills.
To integrate this emotional toolkit into your Openclaw Skills project, follow these steps:
git clone https://github.com/bryanchen3777/Project-Aura.git
Ensure you have Python 3.8 or higher installed. There are no external dependencies required. Initialize the skill in your code as follows:
import sys
sys.path.append('scripts')
from scripts.green_tea_skill.selector import GreenTeaSkill
# Initialize the emotional engine
yua_skill = GreenTeaSkill()
Project Aura manages its personality data through a structured local JSON storage system. This ensures that every instance of the agent can maintain its unique personality profile in Openclaw Skills.
| File Component | Purpose | Metadata Included |
|---|---|---|
| Emotional Modules | Stores available phrases | Phrase text, UID |
| Weight Registry | Tracks phrase performance | Rating score, usage count |
| Local JSON | Persistent memory | User preferences, evolution state |
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