Maps

Operational Steps

1. 确认输入参数完整
2. 执行核心操作（参考本目录下的 scripts/ 或 references/）
3. 验证输出符合契约
4. 保存结果并报告 related_skills: [] requires_toolsets:
   • terminal supersedes:
   • find-nearby synthos: author: Mibayy signature: 'query: str -> geo_data: dict' related_skills:
   • airtable
   • chinese-form-automation
   • google-workspace
   • jupyter-live-kernel
   • linear version: 1.2.0

IO_CONTRACT

• input: request: str, context: dict — 用户请求描述、上下文信息
• output: result: dict — 技能执行结果（结构因技能而异）

对应原则：P2（机械原子暴露输入输出规范）

Maps Skill

Location intelligence using free, open data sources. 8 commands, 44 POI categories, zero dependencies (Python stdlib only), no API key required.

Data sources: OpenStreetMap/Nominatim, Overpass API, OSRM, TimeAPI.io.

This skill supersedes the old find-nearby skill — all of find-nearby's functionality is covered by the nearby command below, with the same --near "<place>" shortcut and multi-category support.

When to Use

• User sends a Telegram location pin (latitude/longitude in the message) → nearby
• User wants coordinates for a place name → search
• User has coordinates and wants the address → reverse
• User asks for nearby restaurants, hospitals, pharmacies, hotels, etc. → nearby
• User wants driving/walking/cycling distance or travel time → distance
• User wants turn-by-turn directions between two places → directions
• User wants timezone information for a location → timezone
• User wants to search for POIs within a geographic area → area + bbox

Prerequisites

Python 3.8+ (stdlib only — no pip installs needed).

Script path: ~/.hermes/skills/maps/scripts/maps_client.py

Commands

MAPS=~/.hermes/skills/maps/scripts/maps_client.py

search — Geocode a place name

python3 $MAPS search "Eiffel Tower"
python3 $MAPS search "1600 Pennsylvania Ave, Washington DC"

Returns: lat, lon, display name, type, bounding box, importance score.

reverse — Coordinates to address

python3 $MAPS reverse 48.8584 2.2945

Returns: full address breakdown (street, city, state, country, postcode).

nearby — Find places by category

# By coordinates (from a Telegram location pin, for example)
python3 $MAPS nearby 48.8584 2.2945 restaurant --limit 10
python3 $MAPS nearby 40.7128 -74.0060 hospital --radius 2000

# By address / city / zip / landmark — --near auto-geocodes
python3 $MAPS nearby --near "Times Square, New York" --category cafe
python3 $MAPS nearby --near "90210" --category pharmacy

# Multiple categories merged into one query
python3 $MAPS nearby --near "downtown austin" --category restaurant --category bar --limit 10

46 categories: restaurant, cafe, bar, hospital, pharmacy, hotel, guest_house, camp_site, supermarket, atm, gas_station, parking, museum, park, school, university, bank, police, fire_station, library, airport, train_station, bus_stop, church, mosque, synagogue, dentist, doctor, cinema, theatre, gym, swimming_pool, post_office, convenience_store, bakery, bookshop, laundry, car_wash, car_rental, bicycle_rental, taxi, veterinary, zoo, playground, stadium, nightclub.

Each result includes: name, address, lat/lon, distance_m, maps_url (clickable Google Maps link), directions_url (Google Maps directions from the search point), and promoted tags when available — cuisine, hours (opening_hours), phone, website.

distance — Travel distance and time

python3 $MAPS distance "Paris" --to "Lyon"
python3 $MAPS distance "New York" --to "Boston" --mode driving
python3 $MAPS distance "Big Ben" --to "Tower Bridge" --mode walking

Modes: driving (default), walking, cycling. Returns road distance, duration, and straight-line distance for comparison.

directions — Turn-by-turn navigation

python3 $MAPS directions "Eiffel Tower" --to "Louvre Museum" --mode walking
python3 $MAPS directions "JFK Airport" --to "Times Square" --mode driving

Returns numbered steps with instruction, distance, duration, road name, and maneuver type (turn, depart, arrive, etc.).

timezone — Timezone for coordinates

python3 $MAPS timezone 48.8584 2.2945
python3 $MAPS timezone 35.6762 139.6503

Returns timezone name, UTC offset, and current local time.

area — Bounding box and area for a place

python3 $MAPS area "Manhattan, New York"
python3 $MAPS area "London"

Returns bounding box coordinates, width/height in km, and approximate area. Useful as input for the bbox command.

bbox — Search within a bounding box

python3 $MAPS bbox 40.75 -74.00 40.77 -73.98 restaurant --limit 20

Finds POIs within a geographic rectangle. Use area first to get the bounding box coordinates for a named place.

Working With Telegram Location Pins

When a user sends a location pin, the message contains latitude: and longitude: fields. Extract those and pass them straight to nearby:

# User sent a pin at 36.17, -115.14 and asked "find cafes nearby"
python3 $MAPS nearby 36.17 -115.14 cafe --radius 1500

Present results as a numbered list with names, distances, and the maps_url field so the user gets a tap-to-open link in chat. For "open now?" questions, check the hours field; if missing or unclear, verify with web_search since OSM hours are community-maintained and not always current.

Workflow Examples

"Find Italian restaurants near the Colosseum":

1. nearby --near "Colosseum Rome" --category restaurant --radius 500 — one command, auto-geocoded

"What's near this location pin they sent?":

1. Extract lat/lon from the Telegram message
2. nearby LAT LON cafe --radius 1500

"How do I walk from hotel to conference center?":

1. directions "Hotel Name" --to "Conference Center" --mode walking

"What restaurants are in downtown Seattle?":

1. area "Downtown Seattle" → get bounding box
2. bbox S W N E restaurant --limit 30

Pitfalls

• Nominatim ToS: max 1 req/s (handled automatically by the script)
• nearby requires lat/lon OR --near "<address>" — one of the two is needed
• OSRM routing coverage is best for Europe and North America
• Overpass API can be slow during peak hours; the script automatically falls back between mirrors (overpass-api.de → overpass.kumi.systems)
• distance and directions use --to flag for the destination (not positional)
• If a zip code alone gives ambiguous results globally, include country/state

Verification

python3 ~/.hermes/skills/maps/scripts/maps_client.py search "Statue of Liberty"
# Should return lat ~40.689, lon ~-74.044

python3 ~/.hermes/skills/maps/scripts/maps_client.py nearby --near "Times Square" --category restaurant --limit 3
# Should return a list of restaurants within ~500m of Times Square

验证清单 · VERIFICATION

• search 基准通过："Statue of Liberty" 返回 lat ~40.689、lon ~-74.044
• nearby 基准通过：--near "Times Square" --category restaurant --limit 3 返回 ~500m 内餐厅列表
• nearby 调用提供了 lat/lon 或 --near 之一；全球歧义输入（仅邮编/通用名）已补充国家/州
• distance/directions 目的地使用 --to 标志并指定出行模式（driving/walking/cycling）
• 区域 POI 查询先 area 获取边界框再调 bbox；请求频率 ≤1 req/s
• "现在营业?" 类问题已核对 hours 字段，缺失/模糊时经 web_search 复核

约束规则 · RULES

1. 输入约束: 参数类型、范围、格式必须校验
2. 输出约束: 返回值结构、编码、命名必须一致
3. 异常约束: 错误信息必须包含上下文和恢复建议
4. 安全约束: 不执行未验证的任意代码，不暴露内部状态

Golden 集合 · GOLDEN SET

• Golden Input: 标准输入样本（覆盖正常路径）
• Golden Output: 预期输出（精确匹配或格式校验）
• Golden Error: 预期错误信息（覆盖失败路径）

Golden 集合是测试的单一真理来源。所有改进必须通过 golden 测试。

违反规则的操作视为不安全，必须拒绝或隔离。

每项验证必须可执行、可记录、可复现。验证失败时记录原因和修复。

Maps

Genes (策略基因)

紧凑策略表示。条件→策略。需要深度时参考完整文档。

• [MAPS-001] 用户发送包含经纬度的定位信息 → 直接提取坐标并调用 nearby 命令，避免二次地理编码
• [MAPS-002] 需要查询特定区域内的 POI 而非单点周边 → 先使用 area 获取边界框，再结合 bbox 进行矩形区域搜索
• [MAPS-003] 查询地点名称存在全球歧义（如仅邮编或通用名） → 在输入中显式包含国家或州名以消除歧义
• [MAPS-004] 需要计算两点间的路径距离或时间 → 使用 distance 命令并明确指定 --to 标志及出行模式（驾车/步行/骑行）
• [MAPS-005] 用户询问附近设施是否“现在营业” → 优先检查 OSM 返回的 hours 字段，若缺失或模糊则通过 web_search 验证
• [MAPS-006] 需要获取从起点到终点的详细导航步骤 → 使用 directions 命令获取包含转向指令、距离和道路名称的分步列表
• [MAPS-007] 需要确定某坐标点所属时区及当前时间 → 使用 timezone 命令获取时区名称、UTC 偏移量及本地时间