# qualitycoach

> Use this tool when you need to improve the quality of your code repository and measure the effectiveness of your quality improvement initiatives. Quality Coach provides tactical advice to help you enhance your codebase, and its measurement capabilities ensure that progress is accurately tracked. It is ideal for quality coaches, engineering managers, or team members with access to code repositories who want to optimize their code quality.

Canonical page: https://skillsregistry.net/skills/amcharrett-6als-qualitycoach  
JSON: https://api.skillsregistry.net/v1/skills/amcharrett-6als-qualitycoach

## Description

Quality Coach MCP server that provides tactical advice on improving code repository for quality improvement initiatives. Designed to not only improve quality but also to appropriately measure the imrpovement. 

Can be run by a quality coach or engineering manager or any team member with access to code repositories. 

This MCP Server is not available for public use yet. This MCP has an auth layer requiring an api key.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/amcharrett-6als/qualitycoach)

## 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": "amcharrett-6als-qualitycoach"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amcharrett-6als-qualitycoach` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amcharrett-6als-qualitycoach/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