# age-transformation

> Use this tool when you need to generate realistic face transformations across different age groups, solving problems such as age progression or regression for entertainment, forensic, or social media applications. It takes an input image of a face and outputs a transformed image with the desired age effect. Ideal for use cases where age transformation is required, such as film production, video games, or social media filters.

Canonical page: https://skillsregistry.net/skills/eftalyurtseven-age-transformation  
JSON: https://api.skillsregistry.net/v1/skills/eftalyurtseven-age-transformation

## Description

Transform faces across ages using each::sense AI.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/eftalyurtseven-age-transformation)

## 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": "eftalyurtseven-age-transformation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eftalyurtseven-age-transformation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eftalyurtseven-age-transformation/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
