alter123-zz/travel-planner
skills/travel-planner/SKILL.md
AI旅行规划助手。自动生成个性化旅行计划，包含路线、住宿和预算。Keywords: 旅行, 攻略, travel plan, itinerary.
$ install --global
skillsauthnpx skillsauth add alter123-zz/RaccoonClaw travel-plannerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 16, 2026, 2:36 AM36.9s3 files scanned
SKILL.md
- name:
- travel-planner
- description:
- AI旅行规划助手。自动生成个性化旅行计划，包含路线、住宿和预算。Keywords: 旅行, 攻略, travel plan, itinerary.
AI旅行规划 — 自动生成个性化旅行计划含路线预算
概述
自动生成个性化旅行计划含路线预算。适用于制定旅行计划、景点路线规划、住宿比价、旅行预算控制等场景。
触发关键词: 旅行, 攻略, travel plan, itinerary
前置依赖
pip install requests geopy
核心能力
能力1：智能行程规划——根据天数/预算/偏好自动安排
智能行程规划——根据天数/预算/偏好自动安排
能力2：实时信息整合——天气/汇率/签证/交通
实时信息整合——天气/汇率/签证/交通
能力3：住宿和餐厅推荐——评分/价格/位置多维筛选
住宿和餐厅推荐——评分/价格/位置多维筛选
命令列表
| 命令 | 说明 | 用法 |
|------|------|------|
| plan | 生成旅行计划 | python3 scripts/travel_planner_tool.py plan [参数] |
| budget | 预算估算 | python3 scripts/travel_planner_tool.py budget [参数] |
| checklist | 出行清单 | python3 scripts/travel_planner_tool.py checklist [参数] |
使用流程
场景 1
规划5天日本东京自由行
执行：
python3 scripts/travel_planner_tool.py plan --dest Tokyo --days 5 --budget medium
场景 2
估算这趟旅行的费用
执行：
python3 scripts/travel_planner_tool.py budget --dest Tokyo --days 5 --from Shanghai
场景 3
生成出发前的准备清单
执行：
python3 scripts/travel_planner_tool.py checklist --dest Tokyo --season spring
输出格式
# 📊 AI旅行规划报告
**生成时间**: YYYY-MM-DD HH:MM
## 核心发现
1. [关键发现1]
2. [关键发现2]
3. [关键发现3]
## 数据概览
| 指标 | 数值 | 趋势 | 评级 |
|------|------|------|------|
| 指标A | XXX | ↑ | ⭐⭐⭐⭐ |
| 指标B | YYY | → | ⭐⭐⭐ |
## 详细分析
[基于实际数据的多维度分析内容]
## 行动建议
| 优先级 | 建议 | 预期效果 |
|--------|------|----------|
| 🔴 高 | [具体建议] | [量化预期] |
| 🟡 中 | [具体建议] | [量化预期] |
| 🟢 低 | [具体建议] | [量化预期] |
参考资料
原有链接
- Google Places API，景点搜索和详情
- 多渠道助手用例
- OpenWeatherMap API，天气预报
GitHub
- GitHub: 交通旅游类免费API合集
HackerNews
- HackerNews: AI旅行规划工具效果对比
- Reddit r/travel: travel社区AI相关讨论
微信公众号
- 微信公众号: AI旅行助手——自动生成个性化计划
小红书
- 小红书: 用AI规划7天日本自由行——行程+预算全攻略
注意事项
- 所有分析基于脚本获取的实际数据，不编造数据
- 数据缺失字段标注"数据不可用"而非猜测
- 建议结合人工判断使用，AI分析仅供参考
- 首次使用请先安装Python依赖：
pip install requests geopy
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