# Voyagent

> Voyagent — prathmeshranjan-voyagent. Use this tool when you need to plan complex trips involving multiple destinations, modes of transportation, and travelers, as it solves problems of itinerary optimization, scheduling, and route planning. Voyagent takes in traveler preferences, destination information, and transportation options as inputs and outputs personalized, efficient travel plans. It is ideal for use in scenarios where manual planning is time-consuming or prone to errors, such as group tours, business trips, or multi-city vacations.

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

## Description

Autonomous Multi-Agent Travel Planning System

## 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:** 2026-09-22

## Source

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

## 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": "prathmeshranjan-voyagent"
    }
  }
}
```

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