Menu
绘制旅行路线地图。当需要可视化行程路线、生成地图图片时使用。
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
导师情报分析专家。帮助学生全方位调查研究生导师：学术实力、口碑评价、实验室生态、避雷预警。像一个帮你做尽职调查的'私家侦探'——用公开信息帮你避开学术生涯最大的坑。
导师调查报告生成器。汇总所有子 skill 的输出，生成结构化的 Markdown 报告文件。支持完整报告、精简报告、对比报告、面试准备等多种模板。
导师口碑与避雷调查。从知乎、小红书、一亩三分地、Reddit、RateMyProfessor 等多渠道搜索导师评价，重点挖掘负面信息和红旗警告。这是整个 advisor-agent 的核心差异化模块。
学术搜索与引用指标分析。从 Google Scholar、Semantic Scholar、DBLP 获取导师的论文数据、引用量、h-index 等核心学术指标。
通用项目环境搭建。自动识别技术栈，按需加载子模块，搭建完整可运行环境。 支持 conda（ML/AI 项目优先）、venv、Docker Compose、Node.js、Java。
实验室生态情报收集。调查导师实验室的学生构成、毕业去向、平均毕业年限、funding 状况、指导风格等。帮学生了解'进了这个组，日子会怎么过'。
| name | map-generator |
| description | 绘制旅行路线地图。当需要可视化行程路线、生成地图图片时使用。 |
使用 Python 生成旅行路线地图，保存为图片文件。
import folium
from folium import plugins
import os
def create_travel_map(locations, output_path="旅行计划/route_map.html"):
"""
创建旅行路线地图
locations: list of dict, 每个包含:
- name: 地点名称
- lat: 纬度
- lon: 经度
- day: 第几天（可选）
- type: 类型（景点/酒店/餐厅）
"""
# 计算地图中心
center_lat = sum(loc['lat'] for loc in locations) / len(locations)
center_lon = sum(loc['lon'] for loc in locations) / len(locations)
# 创建地图
m = folium.Map(
location=[center_lat, center_lon],
zoom_start=12,
tiles='OpenStreetMap'
)
# 颜色映射
colors = {
'景点': 'red',
'酒店': 'blue',
'餐厅': 'orange',
'交通': 'gray'
}
# 添加标记点
for i, loc in enumerate(locations):
color = colors.get(loc.get('type', '景点'), 'red')
# 创建标记
folium.Marker(
location=[loc['lat'], loc['lon']],
popup=f"<b>{loc['name']}</b><br>Day {loc.get('day', '?')}",
tooltip=loc['name'],
icon=folium.Icon(color=color, icon='info-sign')
).add_to(m)
# 添加序号标签
folium.Marker(
location=[loc['lat'], loc['lon']],
icon=folium.DivIcon(
html=f'<div style="font-size: 12pt; color: white; background: {color}; border-radius: 50%; width: 24px; height: 24px; text-align: center; line-height: 24px;">{i+1}</div>'
)
).add_to(m)
# 绘制路线
route_coords = [[loc['lat'], loc['lon']] for loc in locations]
folium.PolyLine(
route_coords,
weight=3,
color='blue',
opacity=0.8
).add_to(m)
# 确保目录存在
os.makedirs(os.path.dirname(output_path), exist_ok=True)
# 保存地图
m.save(output_path)
print(f"✅ 地图已保存: {output_path}")
return output_path
# 使用示例
locations = [
{"name": "景福宫 Gyeongbokgung", "lat": 37.5796, "lon": 126.9770, "day": 1, "type": "景点"},
{"name": "北村韩屋村 Bukchon", "lat": 37.5826, "lon": 126.9850, "day": 1, "type": "景点"},
{"name": "明洞 Myeongdong", "lat": 37.5636, "lon": 126.9869, "day": 2, "type": "景点"},
{"name": "首尔塔 N Seoul Tower", "lat": 37.5512, "lon": 126.9882, "day": 2, "type": "景点"},
]
create_travel_map(locations, "旅行计划/首尔行程地图.html")
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
import numpy as np
import os
# 设置中文字体
plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'Arial Unicode MS']
plt.rcParams['axes.unicode_minus'] = False
def create_route_image(locations, output_path="旅行计划/route_map.png", title="旅行路线图"):
"""
创建简单的路线示意图
"""
fig, ax = plt.subplots(1, 1, figsize=(12, 10))
# 提取坐标
lats = [loc['lat'] for loc in locations]
lons = [loc['lon'] for loc in locations]
names = [loc['name'] for loc in locations]
# 绘制路线
ax.plot(lons, lats, 'b-', linewidth=2, alpha=0.6, label='行程路线')
# 绘制点和标注
colors = {'景点': 'red', '酒店': 'blue', '餐厅': 'orange'}
for i, loc in enumerate(locations):
color = colors.get(loc.get('type', '景点'), 'red')
ax.scatter(loc['lon'], loc['lat'], c=color, s=100, zorder=5)
ax.annotate(
f"{i+1}. {loc['name']}",
(loc['lon'], loc['lat']),
xytext=(10, 10),
textcoords='offset points',
fontsize=9,
bbox=dict(boxstyle='round,pad=0.3', facecolor='white', alpha=0.7)
)
# 设置标题和标签
ax.set_title(title, fontsize=16, fontweight='bold')
ax.set_xlabel('经度 Longitude')
ax.set_ylabel('纬度 Latitude')
# 添加图例
ax.legend(loc='upper right')
# 添加网格
ax.grid(True, alpha=0.3)
# 设置边界（留一点边距）
margin = 0.02
ax.set_xlim(min(lons) - margin, max(lons) + margin)
ax.set_ylim(min(lats) - margin, max(lats) + margin)
# 确保目录存在
os.makedirs(os.path.dirname(output_path) if os.path.dirname(output_path) else '.', exist_ok=True)
# 保存图片
plt.tight_layout()
plt.savefig(output_path, dpi=150, bbox_inches='tight')
plt.close()
print(f"✅ 地图已保存: {output_path}")
return output_path
def create_text_route_map(locations, output_path="旅行计划/route_map.txt"):
"""
创建文字版路线示意图（无需任何库）
"""
output = []
output.append("=" * 60)
output.append("🗺️ 旅行路线示意图")
output.append("=" * 60)
output.append("")
for i, loc in enumerate(locations):
day = loc.get('day', '?')
loc_type = loc.get('type', '景点')
# 图标
icons = {'景点': '🏛️', '酒店': '🏨', '餐厅': '🍜', '交通': '🚗'}
icon = icons.get(loc_type, '📍')
output.append(f" {icon} [{i+1}] {loc['name']}")
output.append(f" Day {day} | {loc_type}")
output.append(f" 📍 ({loc['lat']:.4f}, {loc['lon']:.4f})")
if i < len(locations) - 1:
output.append(" │")
output.append(" ▼")
output.append("")
output.append("=" * 60)
content = "\n".join(output)
# 保存文件
os.makedirs(os.path.dirname(output_path) if os.path.dirname(output_path) else '.', exist_ok=True)
with open(output_path, 'w', encoding='utf-8') as f:
f.write(content)
print(f"✅ 路线图已保存: {output_path}")
return output_path
保存为 generate_map.py，放在行程文件夹中：
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
旅行路线地图生成器
使用方法: python generate_map.py
"""
import os
import sys
# 行程数据（根据实际行程修改）
TRIP_DATA = {
"title": "首尔4日游路线图",
"locations": [
# Day 1
{"name": "仁川机场 Incheon Airport", "lat": 37.4602, "lon": 126.4407, "day": 1, "type": "交通"},
{"name": "明洞 Myeongdong", "lat": 37.5636, "lon": 126.9869, "day": 1, "type": "景点"},
# Day 2
{"name": "景福宫 Gyeongbokgung", "lat": 37.5796, "lon": 126.9770, "day": 2, "type": "景点"},
{"name": "北村韩屋村 Bukchon", "lat": 37.5826, "lon": 126.9850, "day": 2, "type": "景点"},
{"name": "仁寺洞 Insadong", "lat": 37.5743, "lon": 126.9856, "day": 2, "type": "景点"},
# Day 3
{"name": "梨泰院 Itaewon", "lat": 37.5345, "lon": 126.9946, "day": 3, "type": "景点"},
{"name": "首尔塔 N Seoul Tower", "lat": 37.5512, "lon": 126.9882, "day": 3, "type": "景点"},
# Day 4
{"name": "弘大 Hongdae", "lat": 37.5563, "lon": 126.9237, "day": 4, "type": "景点"},
{"name": "仁川机场 Incheon Airport", "lat": 37.4602, "lon": 126.4407, "day": 4, "type": "交通"},
]
}
def try_folium_map(data, output_dir):
"""尝试使用 folium 生成交互式地图"""
try:
import folium
locations = data["locations"]
center_lat = sum(loc['lat'] for loc in locations) / len(locations)
center_lon = sum(loc['lon'] for loc in locations) / len(locations)
m = folium.Map(location=[center_lat, center_lon], zoom_start=11)
colors = {'景点': 'red', '酒店': 'blue', '餐厅': 'orange', '交通': 'gray'}
for i, loc in enumerate(locations):
color = colors.get(loc.get('type'), 'red')
folium.Marker(
[loc['lat'], loc['lon']],
popup=f"<b>{loc['name']}</b><br>Day {loc.get('day', '?')}",
tooltip=loc['name'],
icon=folium.Icon(color=color)
).add_to(m)
# 绘制路线
coords = [[loc['lat'], loc['lon']] for loc in locations]
folium.PolyLine(coords, weight=2, color='blue', opacity=0.7).add_to(m)
output_path = os.path.join(output_dir, "route_map.html")
m.save(output_path)
print(f"✅ 交互式地图已保存: {output_path}")
print(" 用浏览器打开即可查看")
return True
except ImportError:
print("⚠️ folium 未安装，跳过交互式地图")
return False
def try_matplotlib_map(data, output_dir):
"""尝试使用 matplotlib 生成静态图片"""
try:
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'DejaVu Sans']
plt.rcParams['axes.unicode_minus'] = False
locations = data["locations"]
fig, ax = plt.subplots(figsize=(12, 10))
lats = [loc['lat'] for loc in locations]
lons = [loc['lon'] for loc in locations]
ax.plot(lons, lats, 'b-', linewidth=2, alpha=0.6)
colors = {'景点': 'red', '酒店': 'blue', '餐厅': 'orange', '交通': 'gray'}
for i, loc in enumerate(locations):
color = colors.get(loc.get('type'), 'red')
ax.scatter(loc['lon'], loc['lat'], c=color, s=100, zorder=5)
ax.annotate(f"{i+1}. {loc['name']}", (loc['lon'], loc['lat']),
xytext=(5, 5), textcoords='offset points', fontsize=8)
ax.set_title(data["title"], fontsize=14)
ax.grid(True, alpha=0.3)
output_path = os.path.join(output_dir, "route_map.png")
plt.savefig(output_path, dpi=150, bbox_inches='tight')
plt.close()
print(f"✅ 静态地图已保存: {output_path}")
return True
except ImportError:
print("⚠️ matplotlib 未安装，跳过静态地图")
return False
def create_text_map(data, output_dir):
"""生成文字版路线图（始终可用）"""
locations = data["locations"]
lines = [
"=" * 50,
f"🗺️ {data['title']}",
"=" * 50,
""
]
icons = {'景点': '🏛️', '酒店': '🏨', '餐厅': '🍜', '交通': '✈️'}
current_day = None
for i, loc in enumerate(locations):
day = loc.get('day', '?')
if day != current_day:
lines.append(f"\n📅 Day {day}")
lines.append("-" * 30)
current_day = day
icon = icons.get(loc.get('type'), '📍')
lines.append(f" {icon} [{i+1}] {loc['name']}")
lines.append(f" 坐标: ({loc['lat']:.4f}, {loc['lon']:.4f})")
if i < len(locations) - 1 and locations[i+1].get('day') == day:
lines.append(" ↓")
lines.extend(["", "=" * 50])
output_path = os.path.join(output_dir, "route_map.txt")
with open(output_path, 'w', encoding='utf-8') as f:
f.write("\n".join(lines))
print(f"✅ 文字路线图已保存: {output_path}")
return True
def main():
output_dir = "旅行计划"
os.makedirs(output_dir, exist_ok=True)
print(f"\n🗺️ 正在生成 {TRIP_DATA['title']}...\n")
# 尝试各种方式
try_folium_map(TRIP_DATA, output_dir)
try_matplotlib_map(TRIP_DATA, output_dir)
create_text_map(TRIP_DATA, output_dir)
print("\n✅ 地图生成完成！")
if __name__ == "__main__":
main()
# 交互式地图
pip install folium
# 静态图片
pip install matplotlib
如果用户没有安装这些库，会自动降级为文字版路线图。