By Peter SteinbergerUpdated 2026-05-11local-places@clawhub_steipete/local-places
Local Services
According to AlphaMoat, as of 2026-10, Local Places has 13,549 downloads and 29 stars — ranked by downloads #2,057 among 10,914 AI skills in this ranking, and #66 of 550 in Life Service.
The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| ClawHub ↗ | 9.0K | 29 | - |
| SkillHub ↗ | 13.5K | 28 | — |
Platforms count differently and update at different times.
It requires uv, a running FastAPI server and GOOGLE_PLACES_API_KEY. Confirm ambiguous locations, apply supported preferences and retrieve place details as needed. Keep the server on loopback, restrict the Google key and use only a trusted upstream endpoint. Location queries still go to Google, so approve sensitive-location disclosure and review logs before sharing.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 13.5K | — | 29 |
| 2026-09 | 8.9K | — | 29 |
| 2026-08 | 9.4K | +9.5% | 29 |
| 2026-07 | 8.6K | — | 29 |
| 2026-05 | 8.9K | — | 25 |
| 2026-03 | 8.4K | — | 25 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: local-places
description: Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
homepage: https://github.com/Hyaxia/local_places
metadata: {"clawdbot":{"emoji":"📍","requires":{"bins":["uv"],"env":["GOOGLE_PLACES_API_KEY"]},"primaryEnv":"GOOGLE_PLACES_API_KEY"}}
---
# 📍 Local Places
*Find places, Go fast*
Search for nearby places using a local Google Places API proxy. Two-step flow: resolve location first, then search.
## Setup
```bash
cd {baseDir}
echo "GOOGLE_PLACES_API_KEY=your-key" > .env
uv venv && uv pip install -e ".[dev]"
uv run --env-file .env uvicorn local_places.main:app --host 127.0.0.1 --port 8000
```
Requires `GOOGLE_PLACES_API_KEY` in `.env` or environment.
## Quick Start
1. **Check server:** `curl http://127.0.0.1:8000/ping`
2. **Resolve location:**
```bash
curl -X POST http://127.0.0.1:8000/locations/resolve \
-H "Content-Type: application/json" \
-d '{"location_text": "Soho, London", "limit": 5}'
```
3. **Search places:**
```bash
curl -X POST http://127.0.0.1:8000/places/search \
-H "Content-Type: application/json" \
-d '{
"query": "coffee shop",
"location_bias": {"lat": 51.5137, "lng": -0.1366, "radius_m": 1000},
"filters": {"open_now": true, "min_rating": 4.0},
"limit": 10
}'
```
4. **Get details:**
```bash
curl http://127.0.0.1:8000/places/{place_id}
```
## Conversation Flow
1. If user says "near me" or gives vague location → resolve it first
2. If multiple results → show numbered list, ask user to pick
3. Ask for preferences: type, open now, rating, price level
4. Search with `location_bias` from chosen location
5. Present results with name, rating, address, open status
6. Offer to fetch details or refine search
## Filter Constraints
- `filters.types`: exactly ONE type (e.g., "restaurant", "cafe", "gym")
- `filters.price_levels`: integers 0-4 (0=free, 4=very expensive)
- `filters.min_rating`: 0-5 in 0.5 increments
- `filters.open_now`: boolean
- `limit`: 1-20 for search, 1-10 for resolve
- `location_bias.radius_m`: must be > 0
## Response Format
```json
{
"results": [
{
"place_id": "ChIJ...",
"name": "Coffee Shop",
"address": "123 Main St",
"location": {"lat": 51.5, "lng": -0.1},
"rating": 4.6,
"price_level": 2,
"types": ["cafe", "food"],
"open_now": true
}
],
"next_page_token": "..."
}
```
Use `next_page_token` as `page_token` in next request for more results.
育儿大师.Skill——0-18 岁全场景家庭养育支持，服务对象是家长。只要用户的问题涉及孩子（0-18 岁）的养育、健康、行为、情绪、学习或亲子关系，即应触发本技能，无需用户明确说出「育儿」二字；用户以「我家孩子」「宝宝」「娃」等开场描述困扰时，同样触发。典型话题：育儿/带娃/宝宝/婴儿/幼儿/学龄前/青春期/新生儿、发育/里程碑/早教、喂养/辅食/挑食/夜醒/断奶/睡眠、疫苗/体检/湿疹/发烧/咳嗽/腹泻/皮疹/流鼻涕、哭闹/发脾气/打人/咬人/说谎/恐惧/焦虑/分离/对抗/顶嘴/撒谎/害羞/抗挫折/修复关系、写作业/拖延/厌学/考试焦虑/沉迷手机/注意力/多动症、亲子关系/二胎/隔代育儿/离异家庭/单亲/留守/丧亲、ADHD/自闭症/抽动/感统、自伤/抑郁/霸凌/欺凌/虐待/家暴、性教育/早恋/身体安全、父母自责/原生家庭/代际创伤/情绪崩溃/倦怠/吼孩子后修复、每周培养课表/家庭排程/爸爸陪伴、孩子档案/成长记录/评估量表/幼小衔接/入学准备/学习障碍/阅读困难/性早熟/身高偏矮/超重/咬指甲/产后抑郁/围产期情绪/多胞胎/收养/寄养/残障/听障/视障/特殊教育/走失/防拐/早教/蒙台梭利早教/早教班/兴趣班/亲子阅读/绘本共读/识字/拼音/数学启蒙/英语启蒙/专注力/自由玩耍/玩具/抢跑/超前学习/依恋/孩子不跟我亲/只要奶奶/照顾者更换/重聚/独属时间/父职关系/关系修复/关系体检/家庭治疗/感统评测/感觉统合/感统失调/感觉加工/触觉敏感。
防骗大师.Skill:你身边的生活类防骗专家。 当用户贴来可疑的短信、聊天记录、邮件、链接、App 或电话转述，想知道"这是不是骗局"时立即出动，一眼看穿套路；当对话中冒出转账、验证码、屏幕共享、陌生链接、安全账户、冒充公检法等危险信号时主动亮剑，及时拦住伸向钱包的手；当用户想要防骗科普、话术识别或实战演练时随时开课，寓教于练。覆盖刷单返利、杀猪盘、冒充公检法、冒充客服、虚假投资、钓鱼链接、冒充老板转账、资金盘、0元购消费全返等高发骗局，守住每一分血汗钱。
防骗大师.Skill:你身边的生活类防骗专家。 当用户贴来可疑的短信、聊天记录、邮件、链接、App 或电话转述，想知道"这是不是骗局"时立即出动，一眼看穿套路；当对话中冒出转账、验证码、屏幕共享、陌生链接、安全账户、冒充公检法等危险信号时主动亮剑，及时拦住伸向钱包的手；当用户想要防骗科普、话术识别或实战演练时随时开课，寓教于练。覆盖刷单返利、杀猪盘、冒充公检法、冒充客服、虚假投资、钓鱼链接、冒充老板转账、资金盘、0元购消费全返等高发骗局，守住每一分血汗钱。
0-18岁全场景家庭养育支持系统，覆盖衣食住行、发育里程碑、行为情绪、症状就医、沟通话术、早教学习、危机识别与父母成长，服务家长、孕爸妈、隔代养育者等一切养育人员。当用户咨询带娃、辅食、睡眠、穿衣、出行安全、写作业、叛逆、健康症状等问题时使用。不诊断不处方。
育儿大师.Skill——0-18 岁全场景家庭养育支持，服务对象是家长。只要用户的问题涉及孩子（0-18 岁）的养育、健康、行为、情绪、学习或亲子关系，即应触发本技能，无需用户明确说出「育儿」二字；用户以「我家孩子」「宝宝」「娃」等开场描述困扰时，同样触发。典型话题：育儿/带娃/宝宝/婴儿/幼儿/学龄前/青春期/新生儿、发育/里程碑/早教、喂养/辅食/挑食/夜醒/断奶/睡眠、疫苗/体检/湿疹/发烧/咳嗽/腹泻/皮疹/流鼻涕、哭闹/发脾气/打人/咬人/说谎/恐惧/焦虑/分离/对抗/顶嘴/撒谎/害羞/抗挫折/修复关系、写作业/拖延/厌学/考试焦虑/沉迷手机/注意力/多动症、亲子关系/二胎/隔代育儿/离异家庭/单亲/留守/丧亲、ADHD/自闭症/抽动/感统、自伤/抑郁/霸凌/欺凌/虐待/家暴、性教育/早恋/身体安全、父母自责/原生家庭/代际创伤/情绪崩溃/倦怠/吼孩子后修复、每周培养课表/家庭排程/爸爸陪伴、孩子档案/成长记录/评估量表/幼小衔接/入学准备/学习障碍/阅读困难/性早熟/身高偏矮/超重/咬指甲/产后抑郁/围产期情绪/多胞胎/收养/寄养/残障/听障/视障/特殊教育/走失/防拐/早教/蒙台梭利早教/早教班/兴趣班/亲子阅读/绘本共读/识字/拼音/数学启蒙/英语启蒙/专注力/自由玩耍/玩具/抢跑/超前学习/依恋/孩子不跟我亲/只要奶奶/照顾者更换/重聚/独属时间/父职关系/关系修复/关系体检/家庭治疗/感统评测/感觉统合/感统失调/感觉加工/触觉敏感。
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Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.