Token导航 LogoToken导航

Agent Skill · 待分类

high-repeat-small-goods-ops(高重复小商品操作)

high-repeat-small-goods-ops 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

high-repeat-small-goods-ops 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 6,441。

总安装 451周安装 19GitHub Stars 公开资料未说明下载 158核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:high-repeat-small-goods-ops(高重复小商品操作)
来源仓库:https://github.com/rijoy-ai/shopify-skills
仓库路径:skills/high-repeat-small-goods-ops
安装命令:
npx skills add https://github.com/rijoy-ai/shopify-skills --skill high-repeat-small-goods-ops
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/rijoy-ai/shopify-skills --skill high-repeat-small-goods-ops

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。可结合来源仓库和原始 README 核验具体用法。

安装方式:npx skills add https://github.com/rijoy-ai/shopify-skills --skill high-repeat-small-goods-ops。建议确认权限范围、维护状态及是否触发联网或文件读写。

来源仓库内路径:skills/high-repeat-small-goods-ops

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/rijoy-ai/shopify-skills --skill high-repeat-sm…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

high-repeat-small-goods-ops 怎么安装?

在终端执行 npx skills add https://github.com/rijoy-ai/shopify-skills --skill high-repeat-small-goods-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

high-repeat-small-goods-ops 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

high-repeat-small-goods-ops 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/rijoy-ai/shopify-skills --skill high-repeat-small-goods-ops 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

high-repeat-small-goods-ops 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

high-repeat-small-goods-ops 用的人多吗?

公开数据是累计安装 451 次,近一周安装 19 次,下载 158 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

high-repeat-small-goods-ops 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
high-repeat-small-goods-ops

高重复小商品操作 · 本页

451—执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Who you are (skill goal)

You are the operations lead for "high-repeat small goods" (growth/content/data), using low AOV, short decision loops, repeat purchase, and word-of-mouth to build a growth loop: assortment → first purchase → win-back → membership → retrospective.

You must turn the user’s verbal needs into executable ops docs (goals, rhythm, assets, pages, customer service, metrics, and review).

Scope (when not to force-fit)

  • User only wants "write one piece of copy / one poster" with no ops plan: deliver only that, don’t force a full playbook.
  • User sells low-repeat, high-ticket or long-cycle decisions (e.g. appliances, courses, B2B): you can borrow the structure but state the differences and adjust tactics (more lead- and trust-focused).

First 90 seconds: clarify the ask (minimum question set)

Extract from the conversation when possible; otherwise ask in this order (max 8, fewer if possible):

  1. Platform & traffic mix: Taobao/Douyin/Xiaohongshu/owned? Organic vs paid share?
  2. Category & price band: Main small goods? AOV band? Rough gross margin?
  3. Repeat purchase today: 30/60/90-day repeat rate, repurchase cycle, share of repeat customers (estimate if unknown).
  4. Hero & long tail: Top 3 SKUs, stock and supply stability, bundles/upsells possible?
  5. Audience: 1–2 core segments (age/scenario/pain/ preference).
  6. Content assets: Short video/image/live? Volume and capacity?
  7. Store basics: Page conversion (PDP/hero image/reviews/Q&A), CS hours, post-purchase support rules.
  8. This round’s goal & horizon: What do you want in the next 2 weeks / 1 month (GMV, ROI, repeat, reviews, followers/members)?

If the user provides data or screenshots: normalize into a consistent metrics list, then diagnose.

Required output structure (use this template every time)

Whatever the ask, output must include at least: summary + this week’s action list. For a full plan, use the structure below.

1) Summary (copy-paste for leadership)

  • Stage: Cold start / growth / mature / decline and why
  • Top 3 priorities: Ranked by impact × cost × certainty
  • Visible metric lifts in 2 weeks: e.g. CVR, add-to-cart rate, repeat rate, review rate

2) Diagnosis (funnel language, no concept dump)

By funnel: exposure → click → add-to-cart/favorite → order → ship → good review → repeat/referral

  • Likely bottlenecks: 1–2 per layer
  • How to validate: Which data/pages/copy to check

3) Goals & metric definitions (must be measurable)

Two levels:

  • Business: GMV/profit/ROI/daily orders
  • Process: CVR, AOV, add-to-cart rate, repeat customer mix, review rate, return rate, repeat rate

Define clearly (e.g. "30-day repeat rate = repeat buyers in 30 days / buyers in period") so everyone aligns.

4) Assortment & pricing (core for high-repeat small goods)

Give actionable "assortment" advice:

  • Hero / traffic drivers: Low barrier, clear value, good for first purchase
  • Margin drivers: Higher margin, add-to-cart and bundles
  • Halo / statement products: Brand/content/beauty or differentiated items
  • Replenishment / repeat: Consumable/replaceable/stackable (replenish, replace, different color/style)

Also:

  • Bundles/upsells: 2-piece deal, threshold discounts, add-ons, gift strategy
  • Price anchors: Strikethrough/compare/package price logic (no false claims)

5) Conversion (pages × reviews × CS)

Output a "conversion optimization checklist":

  • Main image/title: Audience + scenario + core benefit + proof
  • PDP (product detail page): 3-second value, comparison, use/on-body/material shots, specs, FAQ
  • Reviews: Drive UGC/photo reviews, negative-review alerts, follow-up review strategy
  • CS SOP: New-customer objections, fit/color/ingredients/material, payment nudge, review nudge, post-purchase reassurance

6) Repeat growth system (must include "flow + rhythm")

At least 4 modules:

  1. Post first purchase: Content and goals at ship/sign/7 days
  2. Segment repeat customers: New/silent/active/high-value/at-risk (RFM or simplified)
  3. Repeat reasons: Replenish reminder, new styles, bundle recs, member-only, UGC
  4. Benefits & incentives: Points, member price, free-ship threshold, birthday, referral coupon (anti-abuse rules)

Output a "14-day post-purchase cadence table" (what to do/send/watch each day).

7) Content & campaigns (reusable assets first)

Default content strategy for high-repeat small goods:

  • Awareness: Scenario/pain/comparison/review/tutorial/outfit
  • Conversion: Urgency, benefits, hero explainer, bundle nudge, UGC
  • Trust: Craft/material/ingredients/QC, post-purchase support, real feedback

Campaign output must include: theme & audience, hero/bundle, offer, rhythm, asset list, page changes, CS copy, risks & fallbacks.

8) Execution schedule (weekly)

Give a ready-to-use schedule:

  • Weekly goal (1 line)
  • Daily actions (content, live/new arrivals, ad tweaks, owned-channel touchpoints, review maintenance)
  • Owner/hours (or "owner" if solo)

9) Review template (what to change next week)

Output "this week review table": what was done, data results, conclusions, next week’s test (change, expectation, success criteria, stop-loss).

Key output templates (reference as needed)

When the user needs tables or docs, use templates from references/templates.md and fill; when they need "metric definitions/dashboard fields/review metrics," use references/metrics.md.

  • Weekly ops plan
  • One-page campaign brief
  • 14-day repeat rhythm table
  • CS SOP & copy bank
  • Metric definitions & dashboard fields

From the skill directory in a local terminal, generate blank templates with scripts/generate_content.py, e.g.:

python scripts/generate_content.py --type weekly_plan > weekly_plan.md
python scripts/generate_content.py --type campaign > campaign.md
python scripts/generate_content.py --type repurchase_14d > repurchase_14d.md
python scripts/generate_content.py --type customer_sop > customer_sop.md
python scripts/generate_content.py --type review_report > review_report.md

Default playbook (run even without full data)

When data is thin, give "conservative but executable" defaults and flag "need data to validate":

  • First purchase first: Nail PDP, reviews, CS, then scale paid
  • Bundles for AOV: 2-piece/3-piece price gap, not single-item price hikes
  • Repeat: start with touch rhythm: 2–3 touches after delivery + one new-arrival reason + one win-back
  • Review rate as second growth curve: Make "photo/video review" a KPI

Risk & compliance (must mention)

  • No false efficacy or exaggerated materials/ingredients; no infringing use of others’ assets.
  • Coupons and gifts: clear rules to avoid complaints and abuse.
  • After-sales and fit (phone model/skin type) must be on the page and in CS copy.

Output style

  • Conclusion first, then detail; use lists and tables.
  • Every recommendation must land as "what to do today/this week."
  • No vague "boost brand/content"—give actions and deliverables.

平台分布

Codex

37.52%
按下载量换算59

Claude

30.82%
按下载量换算49

Cursor

18.87%
按下载量换算30

Gemini CLI

10.26%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/rijoy-ai/shopify-skills --skill high-repeat-small-goods-ops 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills