Emperor Meeting is a sophisticated Multi-Agent decision-making framework that leverages Maoist dialectics and historical leadership wisdom to solve complex strategic and organizational challenges.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mao-emperors
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 mao-emperors 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 Emperor Meeting: Multi-Agent Strategic Wisdom System?
Emperor Meeting is a specialized tool within the Openclaw Skills library designed to provide high-level strategic support. By simulating a collective consultation between five distinct AI agents—a Chairman agent based on Mao Zedong Thought and four Emperor agents representing different facets of Chinese statecraft—it offers a multi-dimensional approach to problem-solving. This system integrates core philosophies like On Contradiction, On Practice, and the Mass Line to help users identify root issues and develop actionable strategies.
The value of this skill lies in its ability to synthesize ancient governance wisdom with modern dialectical analysis. Whether you are navigating corporate politics, designing a new organizational structure, or planning a career pivot, this Openclaw Skills contribution provides a rigorous framework that moves beyond simple advice into deep, multi-perspective strategic planning.
Emperor Meeting: Multi-Agent Strategic Wisdom System Use Cases
- Designing corporate strategic directions and identifying long-term growth paths.
- Planning personal career development and navigating professional transitions.
- Optimizing organizational architecture and resolving cross-departmental friction.
- Analyzing multi-party interest conflicts and resource allocation dilemmas.
- Performing comprehensive risk assessments and execution planning for major projects.
How Emperor Meeting: Multi-Agent Strategic Wisdom System Works
- The user input is processed by the Chairman Agent to identify the primary contradiction and secondary issues.
- The Institutional Expert (Qin Shi Huang) evaluates the problem from a system-building and standardization perspective.
- The Strategic Expert (Han Wudi) provides insights on expansion, unified vision, and competitive positioning.
- The Management Expert (Tang Taizong) offers advice on human resources, talent acquisition, and democratic centralization.
- The Mass Expert (Zhu Yuanzhang) analyzes the situation from the perspective of grassroots mobilization and anti-corruption.
- The Chairman Agent synthesizes these diverse viewpoints into a unified decision and an actionable execution plan.
Emperor Meeting: Multi-Agent Strategic Wisdom System Setup
To deploy this skill within your environment, ensure you have the OpenClaw core installed. Follow these steps to integrate this specific addition to your Openclaw Skills collection:
# Navigate to your OpenClaw project directory
cd your-openclaw-project
# Install the Emperor Meeting skill package
npm install @openclaw-skills/emperor-meeting
# Configure your agent environment variables
echo "CHAIRMAN_MODEL=gpt-4" >> .env
Emperor Meeting: Multi-Agent Strategic Wisdom System Data Schema & Taxonomy
Emperor Meeting organizes its output through a structured taxonomy of strategic components. Below is the metadata structure used for each session:
| Component | Description | Data Format |
|---|---|---|
| Meeting Topic | The core problem or inquiry being addressed | String |
| Contradiction Analysis | Identification of primary vs. secondary conflicts | Markdown |
| Imperial Perspectives | Combined outputs from the four specialized agents | JSON/Markdown |
| Unified Strategy | The final synthesized decision and policy | Markdown |
| Execution Timeline | Phase-by-phase implementation roadmap | List |
| Verification Standards | Success metrics based on the principle of practice | Table |
Emperor Meeting: Multi-Agent Strategic Wisdom System Advanced Features
- Advanced orchestration using the Openclaw Skills Multi-Agent system for seamless agent communication.
- Strategic cross-pollination support by combining with Western strategic consultants like the Guilliman agent.
- Direct integration with coding-agents to translate strategic decisions into technical tasks.
- Customizable agent weighting to shift the meeting's focus toward institutional, strategic, or human-centric perspectives.
- Support for deep research hooks to provide agents with real-time academic or market data to back their arguments.
SKILL.md
Loading
Related Openclaw Skills
X Expert
A conversation-driven AI assistant designed to streamline the research, drafting, and publishing process for X (Twitter) through a structured workflow.
ThoughtProof
ThoughtProof is a multi-agent verification protocol that ensures AI outputs are epistemically sound by triangulating reasoning across multiple independent model families.
Thor Image Generation Skill
A local image generation bridge for AI agents using the powerful Thor ComfyUI pipeline.
m365-pnp-cli
A comprehensive command-line toolset for managing Microsoft 365 services including SharePoint, Teams, and Entra ID through your AI agent.
Holocube Emotes
A specialized integration that gives your AI agent a physical presence by controlling a GeekMagic holocube display with custom holographic emotes.
ZeeLin Report Publisher
Automates the end-to-end process of publishing technical reports to the ZeeLin platform, including asset management and Pull Request creation.
Featured*
