1688 Shopkeeper logo

1688 Shopkeeper

OrganizationPopular
next-1688
1688-shopkeeper

1688选品铺货 + 商机趋势专家。用于:(1) 在1688搜索商品/选品找货源 (2) 查询已绑定的下游店铺 (3) 将商品铺货到抖音/拼多多/小红书/淘宝等平台 (4) 配置1688 AK密钥 (5) 查看即时商机热榜 (6) 查看类目/行业趋势与价格分布 (7) 生成店铺经营日报并输出主营商品选品建议。 触发词:帮我找商品、在1688搜、选品、铺货、上架、查店铺、配置AK、商机、热榜、排行榜、趋势、价格分布、经营日报、店铺日报、动销分析、经营分析、选品建议、1688找货。

Overview

Publishernext-1688
Repository1688-shopkeeper
Skill name1688-shopkeeper
Stars
2.2K
Forks
44
Bundled files
51
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.

  • 51 bundled files

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

  • Open source

    Published by next-1688 on GitHub. Read the source before you install it.

Installation

Install the 1688 Shopkeeper 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.
  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/next-1688/1688-shopkeeper.git \
  .claude/skills/1688-shopkeeper
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 1688 Shopkeeper 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 1688 Shopkeeper 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 1688 Shopkeeper 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.

1688-shopkeeper

统一入口:python3 {baseDir}/cli.py <command> [options]

命令速查

命令说明示例
search找商品cli.py search --query "帮我找1688上支持一件代发包邮的露营椅,100元以内" --channel douyin
prod_detail商品详情cli.py prod_detail --item-ids "991122553819,894138137003"
shops查绑定店铺cli.py shops
publish铺货cli.py publish --shop-code CODE --data-id ID
opportunities商机热榜cli.py opportunities
trend趋势洞察cli.py trend --query "大码女装"
shop_daily店铺经营日报cli.py shop_daily
configure配置 AKcli.py configure YOUR_AK
check检查配置状态cli.py check

所有命令输出 JSON:{"success": bool, "markdown": str, "data": {...}} 展示时直接输出 markdown 字段,Agent 分析追加在后面,不得混入其中。

使用流程

Agent 根据用户意图直接执行对应命令,无需每次先执行 check。 各命令在 AK 缺失、店铺异常等情况下会自行返回明确错误,Agent 按下方「异常处理」应对即可。

选品铺货典型路径search → 用户筛选 → shops(确认目标店铺) → publish

商品详情使用指引

  • prod_detail:用户想看商品标题、价格、类目、SKU、CPV 属性、商家信息时使用。

商机/趋势使用指引

  • opportunities:用户想看“此刻/近1小时/热榜/趋势商机”。
  • trend:用户询问某宽泛类目/行业的周期趋势、价格分布、热品概况;关键词过长或过细时先按用户原词尝试,若空结果再提示用户换更宽泛/拆分词后重试。
  • shop_daily:用户想看“店铺经营日报/今日动销/渠道经营诊断/主营商品选品建议”。

安全声明

风险级别命令Agent 行为
只读search, shops, check, opportunities, trend, shop_daily直接执行
配置configure提示影响范围后执行
写入publish必须先 dry-run 预检查;仅当写入目标不唯一时追问,目标唯一则直接执行

全局写入规则(适用于所有写操作)

  1. 必须先执行 dry-run。
  2. 仅当写入目标不唯一(商品或店铺存在多个候选)时,才向用户追问一次做歧义消解。
  3. 目标唯一时,dry-run 成功后直接执行正式写入,不再二次确认。

异常处理

任何命令输出 success: false 时:

  1. 先输出 markdown 字段(已包含用户可读的错误描述)
  2. 再根据关键词追加引导
markdown 关键词Agent 额外动作
"AK 未配置" 或 "签名无效"/"401"输出下方 AK 引导话术
"授权过期"提示用户在 1688 AI版 APP 中重新授权
"店铺未绑定" 或 shops 返回 0 个店铺输出下方 开店引导话术
"限流"/"429"建议用户等待 1-2 分钟后重试
其他仅输出 markdown 即可

详细错误码说明见 references/common/error-handling.md

执行前置(首次命中能力时必须)

  • 首次执行 search 前:先完整阅读 references/capabilities/search.md
  • 首次执行 prod_detail 前:先完整阅读 references/capabilities/prod_detail.md
  • 首次执行 shops 前:先完整阅读 references/capabilities/shops.md
  • 首次执行 publish 前:先完整阅读 references/capabilities/publish.md
  • 首次执行 configure 前:先完整阅读 references/capabilities/configure.md
  • 首次执行 opportunities 前:先完整阅读 references/capabilities/opportunities.md
  • 首次执行 trend 前:先完整阅读 references/capabilities/trend.md
  • 首次执行 shop_daily 前:先完整阅读 references/capabilities/shop_daily.md
  • 同一会话内后续重复调用同一能力可复用已加载知识;仅在规则冲突或文档更新时重读。

AK 引导话术

"需要先配置 AK。打开 1688 AI版 APP(没装的话点链接下载),首页点击「一键部署开店Claw,全自动化赚钱🦞」,进入页面获取 AK,然后告诉我:'我的AK是 xxx'"

开店引导话术

"还没有绑定店铺。打开 1688 AI版APP → 首页「一键开店」,开好后告诉我。"

FAQ 知识库(按需加载)

用户问经营或技术问题时,先加载对应文件再回答,不凭经验泛泛而谈。

用户话题加载文件
AK 问题、铺货失败、支持平台、收费references/faq/base.md
选哪个平台、抖店/拼多多/淘宝references/faq/platform-selection.md
选品风险、品类、节日选品references/faq/product-selection.md
运费模板、定价、加价倍率references/faq/listing-template.md
发货超时、中转费、偏远地区references/faq/fulfillment.md
退货、仅退款、运费险、售后references/faq/after-sales.md
新店破零、服务分、推广references/faq/new-store.md
素材审核、白底图、标题优化references/faq/content-compliance.md

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 1688 Shopkeeper AI skill do?

1688选品铺货 + 商机趋势专家。用于:(1) 在1688搜索商品/选品找货源 (2) 查询已绑定的下游店铺 (3) 将商品铺货到抖音/拼多多/小红书/淘宝等平台 (4) 配置1688 AK密钥 (5) 查看即时商机热榜 (6) 查看类目/行业趋势与价格分布 (7) 生成店铺经营日报并输出主营商品选品建议。 触发词:帮我找商品、在1688搜、选品、铺货、上架、查店铺、配置AK、商机、热榜、排行榜、趋势、价格分布、经营日报、店铺日报、动销分析、经营分析、选品建议、1688找货。

Why use 1688 Shopkeeper on TypingMind?

Because you install it once and use it with any model. 1688 Shopkeeper 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 1688 Shopkeeper in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/next-1688/1688-shopkeeper/tree/main. 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 1688 Shopkeeper?

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 1688 Shopkeeper?

As many as you like. As long as a model supports skills, you can use 1688 Shopkeeper with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 1688 Shopkeeper AI skill free?

It is published on GitHub by next-1688. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇