Agent skill

1688 Shopkeeper

by next-1688 in 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。

No licenceAuto-check passed

Install 1688 Shopkeeper

skills CLI
$ npx skills add next-1688/1688-shopkeeper --skill 1688-shopkeeper -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install next-1688/1688-shopkeeper 1688-shopkeeper --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
1688-shopkeeper
GitHub stars
2.2k
Token cost
~940 tokens
SKILL.md length
234 words
Files
65 (incl. scripts, references)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

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。

  • Works in 3 steps: 必须先执行 dry-run。 → 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。 → 目标唯一时,dry-run 成功后直接执行正式写入,不再二次确认。
  • SKILL.md covers 命令速查, 使用流程, 安全声明 and 异常处理, plus 4 more sections
  • Runs Python scripts from its folder; calls python3

What it does

1688 Shopkeeper is an agent skill from 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。

Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 68 other files, including scripts and reference files (for example `README.md`, `cli.py` and `references/capabilities/configure.md`).

It works with 1688. The repository describes itself as: 1688 AI版 开店Claw 官方Skill.

Example prompts

  • “/1688-shopkeeper”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  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。

What it can do on your machine

Read from SKILL.md and the folder at commit 99537bc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • air.1688.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

1688 Shopkeeper loads about 940 tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 234 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~940
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 234 words (~940 tokens).

name
1688-shopkeeper

Read the full SKILL.md on GitHub

Files

SKILL.md and 64 other files (scripts, references) in the repository root of next-1688/1688-shopkeeper.

  • SKILL.md
  • .gitignore
  • README.md
  • cli.py
  • references/capabilities/configure.md
  • references/capabilities/opportunities.md
  • references/capabilities/prod_detail.md
  • references/capabilities/publish.md
  • references/capabilities/search.md
  • references/capabilities/shop_daily.md
  • references/capabilities/shops.md
  • references/capabilities/trend.md
  • references/common/data-contracts.md
  • references/common/error-handling.md
  • references/faq/after-sales.md
  • references/faq/base.md
  • references/faq/content-compliance.md
  • … and 48 more

Open the folder on GitHubat commit 99537bc

Compare with similar skills

1688 Shopkeeper next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

1688 Shopkeeper compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
1688 Shopkeeper this skillnext-1688/1688-shopkeeper2.2k—~940Automated safety check: PassNone
1688 Item Selectionnext-1688/1688-item-select629—~1.8kAutomated safety check: PassNone
1688 Source Suppliersnext-1688/1688-source-suppliers556—~661Automated safety check: PassNone
1688 Buyer Opportunity Trackernext-1688/1688-customer-opportunity553—~4.6kAutomated safety check: PassNone
1688 Finance Taxnext-1688/1688-finance-tax683—~729Automated safety check: PassNone
1688 Common HTML Report Generatornext-1688/1688-common-html-report-generator298—~1.2kAutomated safety check: PassNone

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Works with

Questions about 1688 Shopkeeper

What does 1688 Shopkeeper 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。. 1688 Shopkeeper is an agent skill from next-1688/1688-shopkeeper.

How do I install 1688 Shopkeeper in Claude Code?

Run `npx skills add next-1688/1688-shopkeeper --skill 1688-shopkeeper -a claude-code`. Or copy the skill folder (the next-1688/1688-shopkeeper repository) into .claude/skills/1688-shopkeeper in your project. Claude Code loads it when a task matches its description.

How do I install 1688 Shopkeeper in Codex?

Run `npx skills add next-1688/1688-shopkeeper --skill 1688-shopkeeper -a codex`. Or copy the skill folder (the next-1688/1688-shopkeeper repository) into .agents/skills/1688-shopkeeper in your project. Codex loads it when a task matches its description.

Can I use 1688 Shopkeeper in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add next-1688/1688-shopkeeper --skill 1688-shopkeeper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/1688-shopkeeper, .gemini/skills/1688-shopkeeper, .github/skills/1688-shopkeeper and .opencode/skills/1688-shopkeeper in your project.

What does 1688 Shopkeeper need to run?

Going by SKILL.md and its folder, 1688 Shopkeeper needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does 1688 Shopkeeper access the network?

SKILL.md names 1 domain. As links in the text: air.1688.com. This is read from the text; nothing was executed.

Is 1688 Shopkeeper safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does 1688 Shopkeeper use?

No licence was found for 1688 Shopkeeper or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does 1688 Shopkeeper use?

About 940 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.

What are the alternatives to 1688 Shopkeeper?

Skills that share tags, products or a category with 1688 Shopkeeper: 1688 Item Selection (next-1688/1688-item-select, 629 stars), 1688 Source Suppliers (next-1688/1688-source-suppliers, 556 stars), 1688 Buyer Opportunity Tracker (next-1688/1688-customer-opportunity, 553 stars) and 1688 Finance Tax (next-1688/1688-finance-tax, 683 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 1688 Shopkeeper?

next-1688 (a GitHub organization) maintains it in next-1688/1688-shopkeeper, which has 2,249 GitHub stars. The repository was last updated on March 23, 2026.

Source: next-1688/1688-shopkeeper on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.