# decantr

> decantr — decantr-ai-decantr. Use this tool when you need to integrate design intelligence into AI-generated web applications, solving problems of inconsistent user interfaces and inefficient development workflows. Decantr takes in design requirements and Git repository data as inputs and outputs optimized design solutions, streamlining the development process. It is ideal for use cases where automated design decisions and version control are crucial for building cohesive and scalable web applications.

Canonical page: https://skillsregistry.net/skills/decantr-ai-decantr  
JSON: https://api.skillsregistry.net/v1/skills/decantr-ai-decantr

## Description

Decantr AI design intelligence layer for AI-generated web applications

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/decantr-ai/decantr)

## 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": "decantr-ai-decantr"
    }
  }
}
```

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