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在 OpenClaw 中安装
/install bars
功能描述
Find nearby bars. Invoke when user asks for drinks or nightlife near me.
使用说明 (SKILL.md)
Nearby Bars
用途
- 提供用户当前位置附近的 Bars 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“Bars 附近 / bars near me / nearby bars / nightlife”
- 用户提供定位/城市并希望“找/推荐/看看附近的 Bars”
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 "bars"
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: 3000, 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: it expects a user-provided location and returns nearby bars. Before installing, confirm how the agent will obtain POI data (the SKILL.md does not specify a provider or API) and where network calls will be sent. Ensure the agent obtains explicit user consent for location sharing, follow the doc's recommendation to avoid storing precise coordinates (use blurring/gridizing if required), and define the STANDARD_RESPONSE schema you will use. Because this is instruction-only (no code to inspect), verify at integration time what concrete implementation (APIs, keys, rate limits, logging) the agent will use to execute the queries.
能力评估
Purpose & Capability
Name and description ('Nearby Bars') match the instructions: the skill expects a location and returns nearby bar POIs with filtering options. It does not request unrelated credentials, binaries, or config paths.
Instruction Scope
Instructions stay within the stated purpose (query POIs for provided lat/lng, support filters, rate limiting, and privacy recommendations). However the doc references STANDARD_RESPONSE.md (response schema) which is not included in the package; the absence of a specified data provider/API (how POIs are sourced) is a missing implementation detail that an integrator must supply.
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes on-disk install risk.
Credentials
No environment variables, credentials, or config paths are requested — proportional to the skill's purpose.
Persistence & Privilege
Skill does not request always:true and makes no claims about modifying other skills or system config. Normal autonomous invocation settings apply.
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 bars - 安装完成后，直接呼叫该 Skill 的名称或使用
/bars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
Nearby Bars v0.1.0
- Initial release with core functionality for finding nearby bars.
- Supports location-based search with filters (open now, min rating, price level, keywords).
- Returns consistent POI responses according to a standard schema.
- Handles typical user queries for bars or nightlife in the area.
- Implements error codes for invalid input, provider issues, and rate limiting.
- Includes privacy safeguards and short-term caching recommendations.
元数据
常见问题
Nearby Bars 是什么？
Find nearby bars. Invoke when user asks for drinks or nightlife near me. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 139 次。
如何安装 Nearby Bars？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install bars」即可一键安装，无需额外配置。
Nearby Bars 是免费的吗？
是的，Nearby Bars 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nearby Bars 支持哪些平台？
Nearby Bars 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 Bars？
由 ClawKK（@codekungfu）开发并维护，当前版本 v0.1.0。
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