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在 OpenClaw 中安装
/install breakfast-spots
功能描述
Find nearby breakfast spots. Invoke when user asks for breakfast near me.
使用说明 (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
安全使用建议
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install breakfast-spots - 安装完成后，直接呼叫该 Skill 的名称或使用
/breakfast-spots触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Nearby Breakfast Spots 是什么？
Find nearby breakfast spots. Invoke when user asks for breakfast near me. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 133 次。
如何安装 Nearby Breakfast Spots？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install breakfast-spots」即可一键安装，无需额外配置。
Nearby Breakfast Spots 是免费的吗？
是的，Nearby Breakfast Spots 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nearby Breakfast Spots 支持哪些平台？
Nearby Breakfast Spots 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Nearby Breakfast Spots？
由 clawkk（@clawkk）开发并维护，当前版本 v0.1.0。
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