# sogni-gen

> Use this tool when you need to generate visual content, such as images and videos, using a decentralized AI network. It solves problems related to content creation, automation, and customization, by providing a flexible interface that accepts local credential and configuration files as inputs. This tool is ideal for use cases that require unique, AI-generated visual media, with outputs in the form of images and videos.

Canonical page: https://skillsregistry.net/skills/krunkosaurus-sogni-gen  
JSON: https://api.skillsregistry.net/v1/skills/krunkosaurus-sogni-gen

## Description

Generate images **and videos** using Sogni AI's decentralized network, with local credential/config files.

## 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:** media
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/krunkosaurus-sogni-gen)

## 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": "krunkosaurus-sogni-gen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krunkosaurus-sogni-gen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krunkosaurus-sogni-gen/pull`

---
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
