Product Title Optimization ✏️
Optimize product titles for search visibility and click-through rate across e-commerce platforms. Platform-specific title rules for Amazon (200 chars), Etsy (140 chars), Walmart, Shopify SEO, and eBay.
Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
Install
CODEBLOCK0
Usage
CODEBLOCK1
Capabilities
- - Platform-specific title structure templates
- Keyword placement optimization (front-loading high-value terms)
- Character limit compliance per platform
- Click-through rate optimization (benefit-driven language)
- A/B title variant generation for testing
- Multi-platform title adaptation from a single product
How This Skill Works
Step 1: Collect information from the user's message — product, platform, current situation, and goals.
Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
Step 3: Research and analyze using the frameworks and methodology below.
Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
Output Format
- - Start with a summary of findings
- Include specific data points and benchmarks where available
- Provide prioritized action items
- Mark estimates with ⚠️ when based on incomplete data
- End with concrete next steps
Other Skills
More e-commerce skills: nexscope-ai/eCommerce-Skills
Amazon-specific skills: nexscope-ai/Amazon-Skills
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
产品标题优化 ✏️
优化产品标题,提升电商平台搜索可见性和点击率。针对亚马逊(200字符)、Etsy(140字符)、沃尔玛、Shopify SEO和eBay提供平台专属标题规则。
支持平台: 亚马逊、Shopify、WooCommerce、沃尔玛、TikTok Shop、Etsy、eBay、BigCommerce。
由 Nexscope 构建——您的智能电商决策AI助手。
安装
bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-title-optimization -g
使用
为我的产品优化亚马逊和Etsy的标题。产品:手工皮革钱包,RFID屏蔽,双折款,男士。当前亚马逊标题:男士皮革钱包。
功能
- - 平台专属标题结构模板
- 关键词位置优化(前置高价值词汇)
- 各平台字符限制合规
- 点击率优化(利益驱动型语言)
- 生成A/B标题变体用于测试
- 单一产品适配多平台标题
技能运作方式
步骤1: 从用户消息中收集信息——产品、平台、当前状况和目标。
步骤2: 使用多项选择格式提出一个后续问题,涵盖所有剩余问题。允许简写回答(例如1b 2c 3a)。
步骤3: 使用以下框架和方法进行研究和分析。
步骤4: 提供结构化、可操作的输出,包含具体建议而非模糊意见。
输出格式
- - 以发现总结开头
- 尽可能包含具体数据点和基准
- 提供优先行动事项
- 基于不完整数据的估算用⚠️标记
- 以具体后续步骤结尾
其他技能
更多电商技能:nexscope-ai/eCommerce-Skills
亚马逊专属技能:nexscope-ai/Amazon-Skills
由 Nexscope 构建——您的智能电商决策AI助手。