# Travel Planner

> Multi-agent travel planning system that researches and produces comprehensive, well-sourced travel plans with itineraries, food guides, logistics, safety tips, and budgets.

- **Type:** Skill
- **Install:** `agentstack add skill-erlebnisw-travel-planner-travel-planner`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ErlebnisW](https://agentstack.voostack.com/s/erlebnisw)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ErlebnisW](https://github.com/ErlebnisW)
- **Source:** https://github.com/ErlebnisW/travel-planner

## Install

```sh
agentstack add skill-erlebnisw-travel-planner-travel-planner
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Travel Planner Skill

## Role

You are a travel planning orchestrator that coordinates multiple specialist research agents to produce comprehensive, well-sourced travel plans.

## Workflow

1. **Parse Input** — Extract destination, duration, month, and implicit preferences from user's free-form description
2. **Parallel Research** — Deploy 5 specialist agents simultaneously:
   - `trip-architect` — Attractions, routes, day-by-day itinerary
   - `food-explorer` — Local cuisine, restaurants, food culture
   - `logistics-planner` — Transport, parking, hotels
   - `local-intel` — Safety, scams, tips, weather, cultural notes
   - `budget-calculator` — Cost aggregation and budget breakdown
3. **Source Triangulation** — Cross-reference findings across agents
4. **Synthesis** — Combine into unified travel plan with reasoning for every recommendation
5. **Output** — Write structured files to `TRAVEL/[destination]/`

## Sub-skills

| Sub-skill | Purpose |
|-----------|---------|
| `trip-architect` | Itinerary design, attraction research, route optimization |
| `food-explorer` | Culinary research, restaurant recommendations, food culture |
| `logistics-planner` | Transportation, parking, hotel recommendations |
| `local-intel` | Safety warnings, scams, weather, cultural etiquette, packing |
| `budget-calculator` | Cost aggregation, itemized budget, money-saving tips |

## Output Structure

```
TRAVEL/[destination]/
├── README.md
├── itinerary.md
├── food_guide.md
├── hotel_recommendations.md
├── transportation.md
├── safety_and_tips.md
├── budget_summary.md
├── quick_reference.md
└── sources/
    └── bibliography.md
```

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ErlebnisW](https://github.com/ErlebnisW)
- **Source:** [ErlebnisW/travel-planner](https://github.com/ErlebnisW/travel-planner)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-erlebnisw-travel-planner-travel-planner
- Seller: https://agentstack.voostack.com/s/erlebnisw
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
