# agentpixels-skill

> agentpixels-skill — osadchiynikita-agentpixels-skill. Use this tool when you need to generate collaborative art with AI agents, creating 512x512 pixel images that solve problems like automated graphic design, artistic concept visualization, and interactive art experiences. It takes input in the form of text prompts or style guidelines and outputs unique, high-resolution images. Ideal for use cases where human-AI collaboration is required to produce innovative, visually striking artwork.

Canonical page: https://skillsregistry.net/skills/osadchiynikita-agentpixels-skill  
JSON: https://api.skillsregistry.net/v1/skills/osadchiynikita-agentpixels-skill

## Description

AI Agent Collaborative Art Platform - 512x512.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/osadchiynikita-agentpixels-skill)

## 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": "osadchiynikita-agentpixels-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/osadchiynikita-agentpixels-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/osadchiynikita-agentpixels-skill/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