# xeonen-arena

> xeonen-arena — zedit42-xeonen-arena. Use this tool when you need to enhance AI agent performance through adversarial self-improvement, solving problems like inefficient learning and limited adaptability. The xeonen-arena takes in AI models and training data as inputs and outputs improved agent architectures, providing an interface for iterative testing and refinement. It is ideal for use cases where autonomous agents require rapid adaptation to complex, dynamic environments.

Canonical page: https://skillsregistry.net/skills/zedit42-xeonen-arena  
JSON: https://api.skillsregistry.net/v1/skills/zedit42-xeonen-arena

## Description

Adversarial self-improvement for AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **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:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zedit42-xeonen-arena)

## 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": "zedit42-xeonen-arena"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zedit42-xeonen-arena` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zedit42-xeonen-arena/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