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/install breakfast-spots
Description
Find nearby breakfast spots. Invoke when user asks for breakfast near me.
README (SKILL.md)
Nearby Breakfast Spots
用途
- 提供用户当前位置附近的 Breakfast Spots 列表
- 统一返回字段与查询行为，便于前端/接口复用
- 适用于找早餐店、早午餐、咖啡烘焙等相关需求
触发条件
- 用户询问“Breakfast Spots 附近 / breakfast near me / nearby breakfast”
- 用户提供定位/城市并希望“找/推荐/看看附近的 Breakfast Spots”
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 "breakfast-spots"
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 appears coherent and low-risk, but before installing confirm: (1) where the POI data will come from (which API/endpoints and any required credentials), (2) how and where any caching is stored and how long location data is kept, and (3) that the agent enforces the 'only query after user authorizes' rule and applies the described coordinate fuzzing. Because the skill is instruction-only, actual network calls and data handling depend on the agent/integration—ask the publisher or integrator for the concrete provider/endpoints and privacy/caching implementation before granting location access.
Capability Assessment
Purpose & Capability
Name/description (find nearby breakfast spots) match the content of SKILL.md. The skill requires no binaries, env vars, or installs and does not ask for unrelated permissions — proportionate to the stated purpose.
Instruction Scope
SKILL.md defines inputs, outputs, error codes, and privacy guidance (only query after user authorizes location, recommend fuzzing coordinates, caching behavior). However it does not specify which data provider(s), API endpoints, or query mechanism to use (or how to authenticate if needed). That vagueness means actual behavior depends on the agent implementation or external connectors; verify where POI data will be fetched and how caching/personal data handling is implemented.
Install Mechanism
No install spec and no code files are present. As an instruction-only skill it does not write files or download artifacts during installation.
Credentials
No environment variables, credentials, or config paths are requested. The only sensitive input is user location, which the doc explicitly restricts to 'after user authorizes' and advises fuzzing.
Persistence & Privilege
always is false and there is no request to modify other skills or system-wide settings. The SKILL.md suggests short-term caching but does not require persistent system-wide privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install breakfast-spots - After installation, invoke the skill by name or use
/breakfast-spots - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of “Nearby Breakfast Spots” skill.
- Find breakfast spots near a given location with customizable radius and filtering options.
- Unified response fields for easy frontend and API reuse.
- Supports error handling for invalid input, provider issues, and rate limits.
- Privacy-conscious design: only queries with location permission, coordinates can be obfuscated, and short-term caching is recommended.
- Returns category "breakfast-spots" in all responses.
Metadata
Frequently Asked Questions
What is Nearby Breakfast Spots?
Find nearby breakfast spots. Invoke when user asks for breakfast near me. It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.
How do I install Nearby Breakfast Spots?
Run "/install breakfast-spots" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nearby Breakfast Spots free?
Yes, Nearby Breakfast Spots is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nearby Breakfast Spots support?
Nearby Breakfast Spots is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nearby Breakfast Spots?
It is built and maintained by clawkk (@clawkk); the current version is v0.1.0.
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