# layered-code

> layered-code — layered-flow-layered-code. Use this tool when you need to streamline software development with AI-assisted coding, leveraging the Model Context Protocol (MCP) to enhance collaboration and version control through git integration. It solves problems of inefficient coding, knowledge sharing, and project management, providing a seamless interface for developers to input code and receive AI-generated suggestions as output. Ideal for complex projects requiring iterative development and precise control.

Canonical page: https://skillsregistry.net/skills/layered-flow-layered-code  
JSON: https://api.skillsregistry.net/v1/skills/layered-flow-layered-code

## Description

Software development through AI-assisted coding with the Model Context Protocol (MCP)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/layered-flow/layered-code)

## 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": "layered-flow-layered-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/layered-flow-layered-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/layered-flow-layered-code/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