# persnally

> persnally — persnally-persnally. Use this tool when you need to create a personalized AI model that captures your unique preferences and interaction history, allowing multiple AI systems to access and understand your individual needs. It solves the problem of inconsistent AI experiences by providing a unified profile that informs every AI you use. With persnally, you input your AI interaction history and output a customized model that enhances your AI-driven interactions.

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

## Description

A model of you, built from your own AI history, on your machine. Every AI you use reads it. So every AI finally knows you.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/persnally/persnally)

## 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": "persnally-persnally"
    }
  }
}
```

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