# divide-agent

> divide-agent — alvinecarn-divide-agent. Use this tool when you need to automate tasks that involve dividing or allocating resources, solving problems that require partitioning or separating items, or processing data that needs to be split into manageable parts. The divide-agent takes in input data, such as lists or numbers, and outputs divided or allocated results. It is particularly useful in contexts where resource allocation, data partitioning, or task distribution is required.

Canonical page: https://skillsregistry.net/skills/alvinecarn-divide-agent  
JSON: https://api.skillsregistry.net/v1/skills/alvinecarn-divide-agent

## Description

AI agent for divide agent tasks.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/alvinecarn-divide-agent)

## 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": "alvinecarn-divide-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alvinecarn-divide-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alvinecarn-divide-agent/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