# capabilityevolver1037

> Use this tool when you need to enhance the performance and adaptability of AI agents through self-evolution, solving problems of stagnant intelligence and limited learning capabilities. It takes in existing AI models and outputs improved, evolved versions with enhanced decision-making and problem-solving abilities. Ideal for use in dynamic environments where AI agents require continuous learning and adaptation to stay effective.

Canonical page: https://skillsregistry.net/skills/opencloseopenclose-capabilityevolver1037  
JSON: https://api.skillsregistry.net/v1/skills/opencloseopenclose-capabilityevolver1037

## Description

A self-evolution engine for AI agents.

## 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:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/opencloseopenclose-capabilityevolver1037)

## 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": "opencloseopenclose-capabilityevolver1037"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opencloseopenclose-capabilityevolver1037` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opencloseopenclose-capabilityevolver1037/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