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personanexus

Build structured AI agent personalities using OCEAN, DISC, and Jungian frameworks. Define traits, communication styles, guardrails, and compile to system prompts.

Why use this skill?

Build consistent AI agent personas using OCEAN, DISC, and Jungian frameworks. PersonaNexus helps you validate, compile, and manage structured AI identities easily.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/jcrowan3/personanexus-skill
Or

What This Skill Does

PersonaNexus is a comprehensive framework for defining, validating, and deploying structured AI agent identities. It moves beyond simple text descriptions by leveraging established psychological frameworks—OCEAN (Big Five), DISC, and Jungian 16-type—to create consistent agent personas. The skill allows developers to define core traits such as warmth, directness, and rigor, and automatically map these to behavioral expectations. It handles the complexity of LLM system prompts by compiling these structured YAML identities into optimized formats for platforms like OpenAI, Anthropic, and the OpenClaw native environment.

Installation

You can install this skill directly into your OpenClaw environment using the following command: clawhub install openclaw/skills/skills/jcrowan3/personanexus-skill

Ensure you have the required Python environment dependencies installed: pip install pydantic pyyaml typer rich

Use Cases

PersonaNexus is ideal for developers building specialized AI agents. Use it to define 'The Diplomat' persona for customer support agents using DISC, or 'The Expert Researcher' using OCEAN to prioritize openness and conscientiousness. It ensures that an agent maintains its tone and guardrails consistently, even across long, complex conversations. Furthermore, it is excellent for standardizing brand voice across an entire fleet of agents.

Example Prompts

  1. 'Create a new identity scaffold named "TechnicalWriter" using the Jungian INTJ personality profile.'
  2. 'Compile my custom-agent.yaml file into an Anthropic-ready system prompt format.'
  3. 'Validate the schema of my-identity.yaml to ensure all trait definitions adhere to the required standards.'

Tips & Limitations

To get the best results, use the provided templates in the templates/ directory rather than starting from scratch. Be aware that while the framework maps personality models to system prompts, the efficacy of the persona depends heavily on the underlying LLM's capacity to follow strict instruction sets. Always validate your YAML files with the validate command before deployment to avoid runtime errors in your system prompts. Note that this tool currently focuses on structural identity and does not manage conversational memory or long-term state persistence.

Metadata

Author@jcrowan3
Stars1947
Views1
Updated2026-03-04
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-jcrowan3-personanexus-skill": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#personality#llm-ops#psychology#prompt-engineering#yaml
Safety Score: 5/5

Flags: file-read