A specialized AI agent that breaks down complex problems into two layers of sub-tasks using the MECE principle.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install divide-agent
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 divide-agent 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 Divide Agent?
The Divide Agent is a powerful utility within the Openclaw Skills ecosystem designed specifically for structural problem decomposition. By strictly adhering to the MECE (Mutually Exclusive, Collectively Exhaustive) principle, this skill ensures that any task or problem is segmented into logical, non-overlapping parts that cover the entire scope of the issue.
This skill is particularly valuable for developers and project managers who need to map out the architecture of a project before execution. As part of your Openclaw Skills library, the Divide Agent bypasses premature analysis or conclusions, focusing entirely on creating a clean, hierarchical structure of sub-problems that are easier to manage and solve.
Divide Agent Use Cases
- Structuring complex business strategy analysis using Porter's Five Forces or 3C models.
- Breaking down large software features into manageable architectural sub-components.
- Organizing marketing campaigns by stage-based process decomposition.
- Simplifying organizational strategy through element-based or matrix-based structural analysis.
How Divide Agent Works
- The agent captures and analyzes the user's core problem and background information.
- It evaluates which MECE principle is most applicable, prioritizing established analysis models like 7S or 4P.
- The skill generates a first-layer decomposition to establish the primary pillars of the problem.
- Each first-layer element is further decomposed into a second layer containing at most three sub-problems.
- A visual representation is created using Mermaid syntax to show the logical subordination of tasks.
- The resulting hierarchy and decomposition logic are documented and submitted via integrated wiki tools.
Divide Agent Setup
To integrate this capability into your workflow, ensure your environment supports the Divide_Agent configuration. You can initialize this component of Openclaw Skills using the following commands:
# Add the divide-agent skill to your local repository
openclaw install divide-agent
# Configure runtime variables if required
export SESSION_GROUP_ID="your_session_id"
Divide Agent Data Schema & Taxonomy
The Divide Agent organizes information into a structured hierarchy within a wiki document. The following table describes the data outputs:
| Component | Format | Description |
|---|---|---|
| Layer 1 Problems | List/Text | The primary high-level categories of the problem decomposition. |
| Layer 2 Problems | List/Text | Granular sub-problems (maximum 3 per Layer 1 node). |
| Tree Diagram | Mermaid String | A visual flowchart showing the relationship between layers. |
| Methodology | Markdown | An explanation of the specific MECE principle applied (e.g., Matrix, Process, Element). |
Divide Agent Advanced Features
- Priority-based model selection including Porter's Five Forces, 3C, 7S, and PPM Matrix.
- Automated tree diagram generation using Mermaid syntax for instant visualization.
- Symmetric dichotomy and matrix method support for multidimensional problem sets.
- Seamless integration with Openclaw Skills documentation tools for automated wiki generation and result submission.
SKILL.md
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