personanexus-board

What This Skill Does

The PersonaNexus Board of Directors skill is an advanced framework designed to elevate AI agent decision-making by integrating a virtual advisory board composed of historical figures. This skill provides a structured schema for defining board members, their specific roles within an agent's logic, and the engagement rules for how the AI queries them during complex problem-solving. By utilizing the provided historical profiles, developers can infuse their agents with multidisciplinary wisdom, ranging from scientific rigor to philosophical ethics.

Key features include:

• Structured Configuration: Define board members via YAML to ensure consistency and modularity.
• Multi-Target Compilation: Transform your agent identity into system prompts optimized for various platforms like OpenClaw, Anthropic XML, and standard text models.
• Advanced Personality Mapping: Utilize built-in tools to convert psychological frameworks (OCEAN, DISC, Jungian) directly into actionable personality traits.
• Validated Schemas: Built-in validation ensures that all configuration files meet semantic standards before deployment.

Installation

To begin, ensure you have a Python environment ready. Install the core requirements with the following command:

pip install pydantic pyyaml typer rich

Next, install the skill package directly into your OpenClaw environment using the command-line utility:

clawhub install openclaw/skills/skills/jcrowan3/personanexus-bod

Once installed, you can verify your setup by running python -m board_skill --help to view all available commands, including validation tools and configuration exporters.

Use Cases

This skill is perfect for agents operating in high-stakes environments where diverse perspectives are needed. Common use cases include:

• Business Strategy: Creating an advisory panel of great leaders and economists to critique business plans.
• Creative Writing: Using historical figures to provide feedback on narrative consistency or philosophical depth.
• Academic Research: Leveraging experts in scientific discovery to review hypothesis generation.
• Ethical Analysis: Engaging a board with distinct moral frameworks to stress-test agent decisions for bias and ethical soundness.

Example Prompts

1. "OpenClaw, consult the board regarding the long-term ethical implications of this expansion plan and summarize the dissenting opinions."
2. "Review my current project roadmap, Board. I need insights from the perspective of our historical innovation experts."
3. "Based on your current board configuration, which member would be most skeptical of this new marketing strategy and why?"

Tips & Limitations

• Tip: Start with the board-minimal.yaml template before scaling to the full 10-member board to observe how individual personalities alter the agent's tone.
• Tip: Use the personality ocean-to-traits tool to fine-tune your agent's baseline behavior before adding the board members.
• Limitation: The quality of the advisory input is highly dependent on the system prompt size limits of your chosen LLM; keep the board size balanced for optimal performance.
• Limitation: Ensure your YAML configurations are validated using the board_skill validate command to avoid unexpected runtime errors during prompt compilation.