# Coding Standards

> Use this tool when you need to access standardized coding style guidelines and best practices for Java, Python, and React to maintain consistent code quality across projects. It provides a standardized interface for retrieving language-specific style guides and application best practices in Markdown format. Ideal for development teams seeking to enhance their workflows and adhere to established coding standards.

Canonical page: https://skillsregistry.net/skills/ggerve-coding-standards  
JSON: https://api.skillsregistry.net/v1/skills/ggerve-coding-standards

## Description

This MCP server provides tools for accessing coding style guidelines and best practices for Java, Python, and React. It offers a standardized interface for retrieving language-specific style guides and application best practices in Markdown format. The server is designed to enhance development workflows by providing easy access to coding standards, making it particularly useful for teams looking to maintain consistent code quality across projects.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ggerve-coding-standards)
- **Repository:** <https://github.com/ggerve/coding-standards-mcp>

## 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": "ggerve-coding-standards"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ggerve-coding-standards` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ggerve-coding-standards/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