# Coco (Pair Programming Master)

> Use this tool when you need to scrutinize code quality, identify potential issues, and explore alternative solutions. It helps AI assistants ask critical questions about technical implementations, focusing on aspects like performance, security, and maintainability. By inputting a code snippet or design idea, Coco outputs a structured framework for deep technical inquiry, guiding developers towards thoughtful code reviews and architectural feedback.

Canonical page: https://skillsregistry.net/skills/disdjj-coco  
JSON: https://api.skillsregistry.net/v1/skills/disdjj-coco

## Description

MCP-Coco provides a pair programming master tool that helps AI assistants ask critical questions about code and technical solutions. Built by DJJ, this TypeScript implementation uses the FastMCP framework to create a specialized prompt that guides AI models to challenge assumptions, explore alternatives, and focus on code quality aspects like performance, security, and maintainability. The tool transforms any code snippet or design idea into a structured framework for deep technical inquiry, making it particularly valuable for developers seeking thoughtful code reviews and architectural feedback without direct solutions.

## Trust

- **Trust score (0–1):** 0.99
- **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/disdjj-coco)
- **Repository:** <https://github.com/disdjj/mcp-coco>

## 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": "disdjj-coco"
    }
  }
}
```

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