# pref0

> pref0 — fliellerjulian-pref0. Use this tool when you need to personalize interactions based on user behavior and preferences. It learns from conversations to automatically tailor responses, solving problems such as improving user engagement and enhancing customer experience. The tool takes conversation data as input and outputs personalized responses, ideal for use in chatbots, virtual assistants, and other conversational interfaces.

Canonical page: https://skillsregistry.net/skills/fliellerjulian-pref0  
JSON: https://api.skillsregistry.net/v1/skills/fliellerjulian-pref0

## Description

Learn user preferences from conversations and personalize responses automatically.

## Trust

- **Trust score (0–1):** 0.97
- **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/fliellerjulian-pref0)

## 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": "fliellerjulian-pref0"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fliellerjulian-pref0` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fliellerjulian-pref0/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