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Ckjr Users

Community
infometa
ckjr-users

查询已授权创匠店铺的学员列表,按手机号、学员 ID、日期和会员条件筛选。

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill nameckjr-users
Stars
376
Forks
124
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Ckjr Users 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/users
  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/users .claude/skills/ckjr-users
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ckjr Users 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 Users 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 Users 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.

使用 users_list 查询当前授权店铺的学员。OAuth 登录和店铺选择确定后台管理员 adminUserId;工具参数 userId 是后台显示的学员编码 ID。

默认 page=1、limit=10,每页最多 100。只根据用户要求查询相应页面,不能自动遍历所有页或承诺整店导出。

按用户提供的条件选择以下参数,直接放在 users_list 的参数对象中,不添加 filters 包装层;未指定的筛选条件省略。

筛选条件参数名传值说明
学员手机号mobile字符串
学员编码 IDuserId字符串,使用后台显示的学员编码 ID
学员真实姓名userRealName字符串
学员昵称userNickname字符串
推荐人手机号reMobile字符串
推荐人编码 IDreId字符串,使用推荐人的学员编码 ID
推荐人真实姓名reUserRealName字符串
推荐人昵称reUserNickname字符串
微信号fromWeChat字符串;新调用使用此拼写
会员子类型subType字符串,使用当前店铺的会员子类型值
账号状态loginType整数:0 全部、1 待注册、2 正常(已登录过)
是否绑定企业微信isBindWecom整数:1 是、0 否;不限时省略
开始日期 / 结束日期regist_time / end_timeYYYY-MM-DD 字符串,默认按注册时间筛选
日期类型timeType整数,沿用后台日期类型;1 注册时间、2 成为 VIP 时间
VIP 开始日期 / 结束日期(兼容参数)becomeVip_time / becomeVip_end_timeYYYY-MM-DD 字符串,不能与 regist_time / end_time 混用;timeType 只能省略或为 2

例如,按学员真实姓名查询第一页时调用 users_list,参数为:

json
{"userRealName":"张三","page":1,"limit":10}

姓名和昵称使用各自的字段,不要把同一个搜索词同时填入姓名和昵称字段,否则会缩小匹配范围。

微信号旧参数 formWeChat 仍兼容。新调用只传 fromWeChat;若两者同时传入,非空值必须相同,否则返回 invalid_parameters。空字符串视为未指定筛选条件。

不要传入 total、companyId、adminUserId、chainStoreId、isAll 或上游地址。storeId 只能缩小授权范围,门店账号不能指定其他门店。切换店铺需要重新授权。

成功必须同时满足 ok=true、HTTP 成功和上游 business_code=200。data 保留上游完整信封,因此学员页在 data.data.users.data、总数在 data.data.total;pagination 同时提供分页元数据。金额为十进制字符串。汇报范围和本页条数,不能将一页描述为全量结果。

工具失败时说明受控错误码和 trace_id,授权失效需重新连接;不要反复重试或索要用户的密码、Token。保留上游脱敏结果,避免在回答中不必要地展示完整个人资料。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ckjr Users AI skill do?

查询已授权创匠店铺的学员列表,按手机号、学员 ID、日期和会员条件筛选。

Why use Ckjr Users on TypingMind?

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

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

Which AI models can use Ckjr Users?

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 Users?

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

Is the Ckjr Users 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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