# Divide and Conquer (Task Management)

> Use this tool when you need to break down complex tasks into manageable pieces, track progress, and preserve context across multiple conversations. It solves problems of task management, progress monitoring, and context loss in complex projects, such as software development and research activities. The tool accepts JSON inputs and provides task summaries and checklist status as outputs, making it ideal for use cases requiring robust task tracking and organization.

Canonical page: https://skillsregistry.net/skills/landicefu-divide-and-conquer  
JSON: https://api.skillsregistry.net/v1/skills/landicefu-divide-and-conquer

## Description

The Divide and Conquer MCP server enables AI agents to break down complex tasks into manageable pieces using structured JSON storage. Developed by Landice Fu, it evolved from a simpler text-based approach to provide robust task tracking with checklist functionality, progress monitoring, and context preservation across multiple conversations. The implementation includes tools for initializing tasks, managing checklist items, tracking completion status, and retrieving task summaries, making it particularly valuable for complex software development projects, research activities, and project planning where context needs to be maintained across multiple interactions.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/landicefu-divide-and-conquer)
- **Repository:** <https://github.com/landicefu/divide-and-conquer-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "landicefu-divide-and-conquer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/landicefu-divide-and-conquer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/landicefu-divide-and-conquer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt