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Car Saas Ops

Community
infometa
car-saas-ops

查询停车场运营数据与车辆信息。当用户想了解停车场今日收入/车流/剩余车位、查询车辆(车牌号/姓名/手机号)、查看通行记录、临停收费记录、收入车流日报、设备与车道状态时使用。触发词:停车场、停车、车辆、车牌、收入、车流、收费记录、通行记录、日报、车位、车道、设备。

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill namecar-saas-ops
Stars
376
Forks
124
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by infometa on GitHub. Read the source before you install it.

Installation

Install the Car Saas Ops AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/infometa/workbuddyskills/tree/main/connectors/car-saas/skills
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/infometa/workbuddyskills.git /tmp/workbuddyskills
mkdir -p .claude/skills
cp -r /tmp/workbuddyskills/connectors/car-saas/skills .claude/skills/car-saas-ops
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Car Saas Ops in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Car Saas Ops on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Car Saas Ops is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

停车运营助手

基于 car-saas 停车 SaaS 系统的查询助手,通过 car-saas 连接器调用停车场业务 API。

能力范围

只读查询,不执行任何写操作(如开闸、改规则、删车辆)。

需求调用工具
今日运营概览(收入/车流/剩余车位)get_dashboard
停车场列表list_parking_lots
车辆查询(车牌/姓名/手机号)list_vehicles
车辆详情get_vehicle_detail
通行记录(入场/出场)list_passing_records
临停收费记录list_fee_records
收入/车流日报或月报get_daily_report
设备状态list_devices
车道列表list_lanes

车辆类型对照

1=免费车,2=会员车,3=储值车,4=临时车,5=黑名单车,6=场内锁车,7=访客车。

操作流程

  1. 用户问「今天收入多少」→ 调 get_dashboard,返回今日车流、收入(微信/支付宝/现金)与剩余车位。
  2. 用户问「查一下粤B12345」→ 调 list_vehicles(keyword="粤B12345"),命中后按需调 get_vehicle_detail。
  3. 用户问「最近通行记录/收费记录」→ 调 list_passing_records 或 list_fee_records,可按 time_range 过滤。
  4. 用户问「本月营收趋势」→ 调 get_daily_report(report_type="month", count=12) 或按日 report_type="day"。

注意事项

  • 金额单位为元;所有结果来自当前登录账号所在租户(多租户已隔离)。
  • 需要车辆详情时,务必带上列表返回的 car_info_type 作为 vehicle_type 参数。
  • 涉及写操作(开闸、人工放行、改价)一律拒绝并提示用户走后台操作。

Frequently asked questions

What does the Car Saas Ops AI skill do?

查询停车场运营数据与车辆信息。当用户想了解停车场今日收入/车流/剩余车位、查询车辆(车牌号/姓名/手机号)、查看通行记录、临停收费记录、收入车流日报、设备与车道状态时使用。触发词:停车场、停车、车辆、车牌、收入、车流、收费记录、通行记录、日报、车位、车道、设备。

Why use Car Saas Ops on TypingMind?

Because you install it once and use it with any model. Car Saas Ops is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Car Saas Ops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/infometa/workbuddyskills/tree/main/connectors/car-saas/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Car Saas Ops?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Car Saas Ops?

As many as you like. As long as a model supports skills, you can use Car Saas Ops with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Car Saas Ops AI skill free?

It is published on GitHub by infometa. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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