LaunchKit · 2026
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divide-agent

AI agent for divide agent tasks.

0
468 downloads
by @alvinecarn

Setup & Installation

openclaw skills install @alvinecarn/divide-agent

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install divide-agent

What This Skill Does

An agent that applies the MECE method to decompose any problem or task into two layers of sub-problems. It selects from five structured frameworks (Porter's Five Forces, 3C, 7S, 4P, PPM Matrix, element decomposition, process decomposition, symmetric dichotomy, or matrix method) based on the problem type. Output is a two-layer tree diagram saved to a wiki document.

Enforces MECE structure automatically, preventing the overlapping or incomplete breakdowns that freeform brainstorming produces.

When to use it

  • Breaking a business strategy question into structured sub-components
  • Analyzing a market entry decision using Porter's Five Forces
  • Decomposing a marketing challenge with the 4P framework
  • Organizing an org-level strategy review with the 7S model
  • Structuring a complex project into a two-layer task hierarchy

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Should we expand our product into the European market?

AGENT
  1. 1Identifies the problem as a market entry decision
  2. 2Selects Porter's Five Forces as the applicable framework
  3. 3Decomposes into first-layer sub-problems covering the five competitive forces
  4. 4Splits each first-layer item into at most 3 second-layer sub-problems
  5. 5Draws a Mermaid tree diagram and saves the full breakdown to a wiki document
OUTPUT

A two-layer MECE problem tree with a Mermaid diagram written to a wiki document