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r03-anthropics-skills-ecommerce

🛒 E-commerce & Retail skill suite derived from anthropics/skills.

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51/ 100

公开评测 · 综合采用结论

具备基础能力,但文档或工程质量仍需完善

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50stars
最近更新 5个月前
评测生成时间(北京时间)
本报告引擎
v3.10.0
当前引擎
v3.16.0

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Evaluation report

综合采用结论

51
D
满分 100
需要完善低风险
决策摘要

具备基础能力,但文档或工程质量仍需完善

70%
中置信度
39
文档
100
安全
29
质量
52
活跃
23
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+11/254,468 个去重后的有效字符
  • 独立证据来源+4/201 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+15/15已完成结构化 AI 证据复核
How it works · 流程图

命令执行流程

README 描述了每个命令遵循的五步交互模式,属于连续处理步骤。

AI 提取 · 证据约束

左右滑动查看完整图示

命令执行流程README 描述了每个命令遵循的五步交互模式,属于连续处理步骤。确认后开始生成结果基于结果建议后续范围确认实时分析结果表格行动计划后续步骤
图示依据
  • • Interaction Pattern 部分列出五步结构
  • • UI Design 部分展示进度面板和结果表格
五维表现
该套件面向电商场景,命令与工作流列表具体,但缺少实际实现细节、安装步骤不完整且无可执行示例,难以验证真实价值。
质量证据
  • Commands 表格列出10个命令及描述
  • Workflows 表格列出5个工作流
  • Quick Install 仅提供 cp 和 /read 命令
  • UI Design 部分展示输出格式示例
  • Interaction Pattern 描述五步结构
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 输出或结果说明
  • 许可证信息
  • 未发现已知高风险模式
关注点
  • 缺少安装或接入步骤
  • 缺少可执行示例
  • 缺少输入、参数或工具说明
  • 安装步骤仅复制目录,未说明依赖或配置
  • 缺少任何可执行示例或参数详细说明
适合

电商运营人员快速获取营销文案建议、需要结构化输出和进度跟踪的自动化任务、作为概念参考或模板进行二次开发

不建议直接用于

需要直接可运行、无需额外开发的场景、对数据安全和权限有严格要求的场景

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

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文档证据
39/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
低风险
未发现已知高风险模式

静态扫描不是安全保证,生产接入前仍应人工复核权限和数据边界。

优先改进清单
  1. 01补充安装或接入步骤
  2. 02补充可执行示例
  3. 03补充输入、参数或工具说明
方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

1 个文件 · 5,259 字符

评测引擎

v3.10.0 · AI 复核已启用(deepseek-chat)

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量

30 天热度趋势

README

🛒 E-commerce & Retail Skills Suite

Derived from anthropics/skills

Domain Commands Workflows License

Adaptation of anthropics/skills for E-commerce & Retail use cases. Source focus: official Anthropic skill templates, webapp testing, comms


What This Skill Suite Does

Product catalogue optimisation, conversion rate, customer journey and retail analytics.

This collection provides 10 specialised commands and 5 multi-step workflows, all with a consistent structured-output UI so you always know exactly where you are and what to do next.


Quick Install

# Clone this skill
cp -r . ~/.claude/skills/r00-anthropics-skills--ecommerce/

# Register in Claude Code
# In a Claude Code session:
/read ~/.claude/skills/r00-anthropics-skills--ecommerce/SKILL.md

Commands

CommandDescription
/product-copyConversion-optimised product title, description and bullet points from spec sheet
/price-strategyDynamic pricing recommendation using competitor data and elasticity model
/cart-abandonmentCart abandonment email sequence with personalisation tokens and timing logic
/inventory-forecastDemand forecasting report with reorder points and safety stock calculation
/cro-auditCRO heatmap analysis, funnel drop-off diagnosis and A/B test prioritisation
/customer-segmentRFM segmentation, LTV prediction and targeted campaign briefs
/returns-analysisReturn rate root-cause analysis with product quality and size-guide fixes
/review-responseAI-generated personalised responses to product reviews (positive + negative)
/bundle-suggestCross-sell and bundle recommendation engine from order history patterns
/marketplace-auditAmazon/eBay listing health score, Buy Box eligibility and keyword gap

Usage:

/product-copy <target>
/price-strategy --scope full --output md

Workflows (Multi-step)

WorkflowDescription
product-launchFull product launch: copy → imagery brief → ads → email → SEO → review plan
seasonal-campaignBlack Friday / holiday campaign: offer → landing page → email sequence → ads
retention-enginePost-purchase flow: confirmation → onboarding → loyalty → win-back sequence
marketplace-expandNew marketplace expansion: listing → pricing → fulfillment → compliance checklist
conversion-sprint90-day CRO sprint: audit → hypothesis → A/B tests → iterate → report

Usage:

/workflows:product-launch <target> --scope full

UI Design

All commands display structured output with:

  • Progress panels — real-time step tracking
  • Findings tables — sorted by severity (🔴🟠🟡🟢)
  • Action checklists — quick wins → medium-term → strategic
  • Summary cards — at-a-glance metrics after each command

Progress Display Example

╔══════════════════════════════════════════════════╗
║  Product Launch  —  Wireless Headphones Pro X    ║
╠══════════════════════════════════════════════════╣
║  ✓  Product copy generated      3 variants ready ║
║  ✓  SEO keywords mapped         42 terms         ║
║  ⟳  Image briefs in progress …  2 / 8            ║
║  ░  Ad creatives                Pending           ║
║  ░  Email sequence              Pending           ║
╚══════════════════════════════════════════════════╝

Conversion Score:  ████████░░  78 / 100
┌────────────────────┬───────┬─────────────────────────┐
│ Element            │ Score │ Recommendation           │
├────────────────────┼───────┼─────────────────────────┤
│ Title (SEO)        │  92   │ ✓ Good                  │
│ Bullet points      │  74   │ ⚠ Add 2 more benefits   │
│ Price anchor       │  61   │ ✗ Add original price     │
│ Social proof       │  88   │ ✓ 4.7★ visible          │
│ CTA button         │  70   │ ⚠ Test "Buy Now" copy   │
└────────────────────┴───────┴─────────────────────────┘

Interaction Pattern

Every command follows this 5-step structure:

① Scope Confirmation  — verify target and options with user
② Live Analysis       — progress bar while working
③ Findings Table      — structured results sorted by impact
④ Action Plan         — prioritised, time-boxed recommendations
⑤ Next Steps          — suggested follow-up commands

Source Repository

This suite is derived from anthropics/skills which focuses on: official Anthropic skill templates, webapp testing, comms.

Improvements in this adaptation:

  • Domain-specific command vocabulary for E-commerce & Retail
  • Enhanced structured output with visual progress tracking
  • Prioritised action plans with time estimates
  • Workflow orchestration for end-to-end processes
  • Consistent UI conventions across all commands

License

MIT — free to use, modify and distribute.