# ZA

> ZA — lucianonunnez-za. Use this tool when you need to optimize travel planning and minimize disruptions, as it provides a multi-model gateway to evidence-weighted risk assessment and points optimization, all accessible offline. It solves problems related to travel uncertainty and reward maximization, accepting various inputs to produce personalized travel recommendations. Ideal for use in situations where internet connectivity is limited, such as during travel or in remote areas.

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

## Description

AI-native travel concierge: multi-model gateway, evidence-weighted disruption risk, points optimization. Runs fully offline.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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/lucianonunnez/ZA)

## 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": "lucianonunnez-za"
    }
  }
}
```

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