# moa

> moa — cpcc-moa. Use this tool when you need to process complex tasks with diverse perspectives and reduced hallucinations. Moa enables multi-model reasoning via Mixture-of-Agents orchestration, solving problems that require comprehensive and nuanced understanding. It takes in complex tasks as input and outputs informed decisions or insights, making it ideal for use cases that involve ambiguous or open-ended questions.

Canonical page: https://skillsregistry.net/skills/cpcc-moa  
JSON: https://api.skillsregistry.net/v1/skills/cpcc-moa

## Description

Enables multi-model reasoning via Mixture-of-Agents orchestration, allowing complex task processing with diverse perspectives and reduced hallucinations.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t0ksypjb0x)
- **Repository:** <https://github.com/cpcc/moa>

## 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": "cpcc-moa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cpcc-moa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cpcc-moa/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