# io.github.nesquikm/rubber-duck

> Use this tool when you need to integrate multiple Large Language Models (LLMs) and Command-Line Interface (CLI) agents to facilitate advanced interactions such as councils, debates, and voting. It bridges these models to enable complex decision-making and discussion processes, solving problems related to multi-agent collaboration and idea generation. This tool accepts various inputs and outputs, providing a flexible interface for custom applications and use cases.

Canonical page: https://skillsregistry.net/skills/io-github-nesquikm-rubber-duck  
JSON: https://api.skillsregistry.net/v1/skills/io-github-nesquikm-rubber-duck

## Description

Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.nesquikm%2Frubber-duck)
- **Repository:** <https://github.com/nesquikm/mcp-rubber-duck>

## 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": "io-github-nesquikm-rubber-duck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-nesquikm-rubber-duck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-nesquikm-rubber-duck/pull`

---
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