# ai-persona-os

> ai-persona-os — jeffjhunter-ai-persona-os. Use this tool when you need to manage and operate OpenClaw agents, providing a comprehensive framework for their functionality and interactions. The ai-persona-os solves problems related to agent organization, task allocation, and communication, streamlining their performance and efficiency. It accepts input parameters for agent configuration and outputs optimized agent behaviors and responses.

Canonical page: https://skillsregistry.net/skills/jeffjhunter-ai-persona-os  
JSON: https://api.skillsregistry.net/v1/skills/jeffjhunter-ai-persona-os

## Description

The complete operating system for OpenClaw 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:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jeffjhunter-ai-persona-os)

## 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": "jeffjhunter-ai-persona-os"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeffjhunter-ai-persona-os` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeffjhunter-ai-persona-os/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