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Ckjr Orders

Community
infometa
ckjr-orders

查询已授权创匠店铺的订单列表或订单统计。

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill nameckjr-orders
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 Ckjr Orders 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/ckjr-mcp-wb/skills/orders
  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/ckjr-mcp-wb/skills/orders .claude/skills/ckjr-orders
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ckjr Orders 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 Ckjr Orders 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 Ckjr Orders 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.

订单明细使用 orders_list,订单汇总使用 orders_statistics。两个工具共用筛选参数,但返回形状不同;不要用明细结果代替统计,也不要把统计结果当作订单行。

常用参数直接放在工具参数对象中:

参数含义
searchType / searchName搜索类型和值:订单号、交易单号、学员编码 ID、买家昵称/姓名/手机号、收货人姓名/手机号、物流单号、商品 ID 等
timeType时间类型:1 下单时间、2 付款时间、3 结算时间
startAt / endAtYYYY-MM-DD 日期范围
minAmount / maxAmount金额范围,字符串传值以保留精度
status / afterStatus订单状态和售后状态,-1 表示全部
invoice / invoiceStatus发票申请和开票状态
prodName / prodType / orderType商品名称、商品类型、订单类型
fromAPP / paymentMethod / mchType / deliverType渠道、支付、收款和发货方式
hasGiftOrder是否包含赠品
page / limit分页;默认 1/10,每页最多 50

不要传 isStatistics;列表工具传入 0,统计工具传入 1。不要传 companyId、storeId、chainStoreId、excelCompanyId、excelStoreId、excelLoginAdminUserId 或上游地址。管理员和店铺范围来自 OAuth 授权。

只请求一页并准确说明页码和条数。沿用后台慢查询保护:可能缩小查询范围、把统计改为列表、返回上次缓存或空结果。以实际返回内容为准,不把列表当作统计,不把空结果解释为店铺没有订单。

统计工具暂不接受 searchType=10(收货人姓名)或 searchType=11(收货人手机号),因为后台统计分支不会应用这两个筛选条件;需要这类筛选时使用 orders_list。

Frequently asked questions

What does the Ckjr Orders AI skill do?

查询已授权创匠店铺的订单列表或订单统计。

Why use Ckjr Orders on TypingMind?

Because you install it once and use it with any model. Ckjr Orders 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 Ckjr Orders in TypingMind?

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

Which AI models can use Ckjr Orders?

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 Ckjr Orders?

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

Is the Ckjr Orders 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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