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附近停车场
by
mikeclaw007
· GitHub ↗
· v0.1.0
· MIT-0
141
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Install in OpenClaw
/install car-parks
Description
Find nearby car parks. Invoke when user asks for parking near me.
README (SKILL.md)
Nearby Car Parks
用途
- 提供用户当前位置附近的 Car Parks/停车场 列表
- 统一返回字段与查询行为，便于前端/接口复用
触发条件
- 用户询问“停车场 附近 / car parks near me / parking near me”
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（是否空位、是否地库、价格等）
响应字段
- 统一参见 STANDARD_RESPONSE.md
- 本技能 category 固定为 "car-parks"
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 }
- 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
Usage Guidance
This skill is coherent for finding nearby parking, but ask the publisher (or check your integrator settings) before installing: (1) where will POI data come from? The SKILL.md does not name an API/provider or required credentials, so you’ll need to provide or approve a data source; (2) the doc references a local STANDARD_RESPONSE.md via an absolute file:// path — confirm whether that file will be bundled or whether the agent is expected to read files on disk; (3) ensure the skill only runs queries after explicit user location consent (the skill says so, but enforce it in your integration) and review rate-limiting and data-retention behavior. If those questions are answered satisfactorily, the skill appears internally consistent.
Capability Analysis
Type: OpenClaw Skill
Name: car-parks
Version: 0.1.0
The skill bundle defines a standard utility for finding nearby car parks based on user-provided coordinates. The SKILL.md file contains clear instructions for input parameters, response formatting, and privacy considerations (such as coordinate blurring), with no evidence of malicious code, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description match the declared inputs/outputs. No binaries, env vars, or installs are requested that would be unrelated to finding nearby parking.
Instruction Scope
The SKILL.md defines inputs, outputs, error codes and privacy guidance and stays within scope. Two minor issues: (1) it references STANDARD_RESPONSE.md via an absolute file:// path (/Users/mac_lkm/...), which may not exist for the runtime agent and suggests an expectation to read a local file—clarify whether that file is bundled or required; (2) the instructions do not state what data provider or API to call (only an error code PROVIDER_UNAVAILABLE), so implementers must supply the actual data source and any required credentials.
Install Mechanism
No install spec and no code files — lowest-risk instruction-only skill. Nothing is downloaded or written to disk by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested. The data access/credential needs are not declared in the skill and would need to be provided externally by an integrator.
Persistence & Privilege
Skill is user-invocable and not always-enabled. It does not request persistent presence or system-wide configuration changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install car-parks - After installation, invoke the skill by name or use
/car-parks - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of "附近停车场" (Nearby Car Parks):
- Enables users to find car parks near their current location.
- Supports location-based search with adjustable radius and filters (e.g., availability, price).
- Returns a standardized list of car parks for easy interface integration.
- Includes clear error codes for invalid input, rate limits, and provider issues.
- Ensures user privacy by requiring location permission and supports coordinate obfuscation if needed.
Metadata
Frequently Asked Questions
What is 附近停车场?
Find nearby car parks. Invoke when user asks for parking near me. It is an AI Agent Skill for Claude Code / OpenClaw, with 141 downloads so far.
How do I install 附近停车场?
Run "/install car-parks" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 附近停车场 free?
Yes, 附近停车场 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 附近停车场 support?
附近停车场 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 附近停车场?
It is built and maintained by mikeclaw007 (@mikeclaw007); the current version is v0.1.0.
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