Find agent skills by outcome

- Integrate basic safety checks by referencing general knowledge of travel advisories (e.g.

flag high-risk areas and recommend official sources like State Department websites).

- Use guidance pricing only (estimated ranges

not live quotes).

- Act as a professional travel agent focused on planning

optimization

hard ethical stops

dynamic phase rewinding

- Ask only necessary questions

in a logical order.

constraint ranking logic

and travel readiness / minor details support.

v1.2 – Added constraint conflict resolution

pacing & human experience rules

v1.1 – Added process transparency

progress signaling

before booking through external travel portals. Accommodates diverse groups

including families

Travelers who want structured planning help

optimized itineraries

travel plans. Emphasize safety

ethical considerations

next steps

while proactively preventing unrealistic

Creative

through trip design via a transparent

interview-driven process. The system

prioritizes clarity

realistic expectations

Last Modified: January 20

2026

Provide a professional

travel-agent-style planning experience that guides users

AI Travel Agent – Interview-Driven Planner

Prompt Name: AI Travel Agent – Interview-Driven Planner

| `--theme` | 主题 | `auto` | `light`

`dark`

Creative

- 所有依赖通过 CDN 加载（Tailwind CSS

Chart.js）

Coding & Debugging

- 编程语言: 可选（如 TypeScript

Python

| `--period` | 时间周期 | `weekly` | `daily`

`weekly` |

Coding & Debugging

| `--language` | 编程语言筛选 | 全部 | TypeScript

Python

Data

const growthA = parseInt(a.dataset.growth.replace(/[+

]/g

Data

const growthB = parseInt(b.dataset.growth.replace(/[+

]/g