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clawkk

Nearby Barbershops

by clawkk · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
134
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1
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Install in OpenClaw
/install barbershops
Description
Find nearby barbershops. Invoke when user asks for a haircut near me.
README (SKILL.md)

Nearby Barbershops

用途

  • 提供用户当前位置附近的 Barbershops 列表
  • 统一返回字段与查询行为,便于前端/接口复用
  • 支持常见筛选(评分、价格等级、是否营业、关键词等)

触发条件

  • 用户询问“Barbershops 附近 / barbershop near me / nearby haircut”
  • 用户提供定位/城市并希望“找/推荐/看看附近的 Barbershops”

输入参数

  • location: 经纬度 { lat, lng },必填
  • radius_meters: 查询半径,默认 3000
  • limit: 返回数量上限,默认 20,最大 50
  • filters: 可选筛选(open_now、min_rating、price_level、keywords 等)

响应字段

  • 统一参见 STANDARD_RESPONSE.md
  • 本技能 category 固定为 "barbershops"

错误码

  • INVALID_LOCATION: 经纬度不合法
  • RADIUS_TOO_LARGE: 超过最大查询半径
  • PROVIDER_UNAVAILABLE: 数据源不可用
  • RATE_LIMITED: 触发速率限制

示例

  • 输入: { location: { lat: 30.123, lng: 120.456 }, radius_meters: 2000, limit: 10, filters: { open_now: true } }
  • 输出: 标准 POI 列表(见 STANDARD_RESPONSE.md)

隐私与速率限制

  • 仅在用户授权定位后查询
  • 避免保留精确坐标,必要时进行网格化模糊处理
  • 建议对同一 location+category+radius 做短时缓存以降低频率
Usage Guidance
This skill is lightweight and internally consistent for the stated purpose, but before installing check: (1) which data source the agent will use to find POIs — confirm a trusted provider or an internal dataset, (2) whether the agent might request API keys or external access at runtime (it currently declares none), and (3) the missing STANDARD_RESPONSE.md so you know the exact output format. If you want tighter control, require the skill to declare the POI provider and expected API credentials or provide an explicit mapping to an internal service.
Capability Assessment
Purpose & Capability
Name/description describe a simple POI lookup for barbershops. The skill requests no binaries, env vars, or config paths, which is consistent with an instruction-only lookup helper.
Instruction Scope
SKILL.md specifies inputs, filters, response schema and privacy guidance (only run after user authorizes location, blur coordinates), which is appropriate. However it does not specify any data provider or API to use (e.g., Google Places, Yelp, internal POI DB) and it references STANDARD_RESPONSE.md which is not included. That vagueness could lead an agent to choose arbitrary external sources or prompt for credentials at runtime.
Install Mechanism
No install spec and no code files — instruction-only skill, so nothing is written to disk or installed. Low install risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. This is proportionate to the described functionality.
Persistence & Privilege
always is false and the skill has no install-time actions or abilities to modify system or other skills. Normal, limited privilege.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install barbershops
  3. After installation, invoke the skill by name or use /barbershops
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- Initial release of "Nearby Barbershops": find barbershops near a user's location. - Supports filters for rating, price, open status, and keywords. - Returns a standardized list of places for easy integration. - Includes privacy measures (requires location permission, suggests grid-based fuzzing, short-term caching). - Provides clear error codes for common failures.
Metadata
Slug barbershops
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Nearby Barbershops?

Find nearby barbershops. Invoke when user asks for a haircut near me. It is an AI Agent Skill for Claude Code / OpenClaw, with 134 downloads so far.

How do I install Nearby Barbershops?

Run "/install barbershops" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Nearby Barbershops free?

Yes, Nearby Barbershops is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Nearby Barbershops support?

Nearby Barbershops is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Nearby Barbershops?

It is built and maintained by clawkk (@clawkk); the current version is v0.1.0.

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