Solo CEO is a master control agent designed to orchestrate complex workflows by delegating tasks to specialized AI workers while maintaining long-term memory and project oversight.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install solo-ceo
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 solo-ceo 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 Solo CEO - Master Control Agent?
Solo CEO transforms a single AI interaction into a professional company structure. As the master control agent, it focuses entirely on high-level planning, task decomposition, and result synthesis rather than manual execution. By utilizing the Openclaw Skills framework, it coordinates between specialized agents like coders and operators to handle complex, multi-step projects with professional efficiency.
This skill is built for users who need to manage sophisticated AI operations without getting bogged down in the minutiae of individual prompts. It leverages a decentralized architecture where the CEO manages the vision while subordinate agents execute tasks within their own isolated workspaces, ensuring clean data management and parallel processing capabilities.
Solo CEO - Master Control Agent Use Cases
- Managing large-scale software development projects by delegating coding and research tasks separately.
- Automating recurring business operations like daily sales reporting or market monitoring.
- Conducting deep competitive analysis where research and report generation happen in parallel.
- Maintaining consistent brand or coding styles across multiple sessions using centralized memory files.
- Handling complex multi-agent workflows where context needs to be preserved over long periods.
How Solo CEO - Master Control Agent Works
- Task Analysis: The CEO receives a user request and determines if the task requires a long-term worker (recurring/context-heavy) or a temporary subagent (one-time task).
- Planning: The CEO creates a structured plan in a dedicated workspace, identifying which parts of the project can run in parallel and which have serial dependencies.
- Delegation: Using the sessions_spawn tool, the CEO distributes specific assignments to specialized agents (e.g., 'coder' or 'operator') with full context and requirements.
- Execution & Yield: The CEO enters a yield state, waiting for automated push events from subagents rather than polling for updates, saving resources.
- Synthesis: Once workers report back, the CEO aggregates the outputs, performs a final review, and presents a comprehensive summary to the user.
Solo CEO - Master Control Agent Setup
To enable the Solo CEO workflow, you must configure the agent-to-agent communication protocol in your configuration file:
// openclaw.json
{
"tools": {
"agentToAgent": {
"enabled": true
}
}
}
Ensure your workspace structure follows the mandatory pattern for Openclaw Skills:
# Required for each agent workspace
~/.openclaw/workspace-<agentId>/SOUL.md
~/.openclaw/workspace-<agentId>/MEMORY.md
~/.openclaw/workspace-<agentId>/IDENTITY.md
Solo CEO - Master Control Agent Data Schema & Taxonomy
The skill organizes data through a hierarchical workspace system that separates long-term intelligence from task-specific data:
| File Name | Description | Persistence |
|---|---|---|
| MEMORY.md | Stores CEO preferences, coding styles, and methodologies. | Permanent/Updated |
| plan.md | Created per task to track worker assignments and completion status. | Task-specific |
| SOUL.md | Defines the persona and communication style of the specific agent. | Permanent |
| IDENTITY.md | Core identification and role definition for the agent. | Permanent |
All employee agents read from their specific MEMORY.md at the start of every spawn to ensure they align with the CEO's long-term standards.
Solo CEO - Master Control Agent Advanced Features
- Parallel Dispatching: Simultaneously trigger multiple agents to reduce total project lead time.
- Stateless Execution: Uses 'run' mode for subagents to ensure they exit automatically after completion, optimizing resource consumption.
- Automated Memory Updates: Subagents are instructed to update the MEMORY.md file if they learn new methodologies during a task.
- Sophisticated Error Handling: Implements a 5-round limit on worker follow-up questions to prevent infinite loops.
- Agent-to-Agent Protocols: Deep integration with Openclaw Skills allowing seamless message passing between different specialized LLM instances.
SKILL.md
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