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Agent Skill · 研究检索

product-selection(产品选择)

product-selection 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

product-selection 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 27,059。

总安装 3,457周安装 147GitHub Stars 142下载 1,211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:product-selection(产品选择)
来源仓库:https://github.com/vivy-yi/xiaohongshu-skills
仓库路径:skills/product-selection
安装命令:
npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill product-selection
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/vivy-yi/xiaohongshu-skills --skill product-selection

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

product-selection 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据品类特征、价格区间或用户偏好等维度快速匹配候选产品。它支持电商选品与供应链决策的信息聚合,可用于竞品 SKU 对比、库存周转预测与上新节奏规划等场景。

使用 npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill product-selection 安装,需核实小红书 API 调用权限。建议在使用前设置缓存机制,减少重复请求提升效率。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/product-selection

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/vivy-yi/xiaohongshu-skills --skill product-sel…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

product-selection 怎么安装?

在终端执行 npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill product-selection。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

product-selection 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。

product-selection 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

product-selection 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。

product-selection 用的人多吗?

公开数据是累计安装 3,457 次,近一周安装 147 次,下载 1,211 次,GitHub 142 星。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。

product-selection 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
product-selection

产品选择 · 本页

3,457142只读未明确有提醒

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

Product Selection (商品选品)

Overview

Product selection is the data-driven process of identifying and choosing profitable, marketable products that align with your audience's needs, have sufficient demand, and offer viable profit margins for Xiaohongshu e-commerce success.

When to Use

Use when:

  • Starting e-commerce on Xiaohongshu and need initial product inventory
  • Planning live stream product lineup
  • Creating product review or recommendation content
  • Expanding product catalog beyond current offerings
  • Researching trending products in your niche
  • Evaluating potential products for profitability
  • Declining sales and need to refresh product mix

Do NOT use when:

  • Already have proven product lineup that's selling well
  • Selecting products for paid advertising only (use dedicated ad targeting tools)
  • Dropshipping without verifying supplier reliability first

Core Pattern

Before (guessing what will sell):

❌ "This product looks cool, I think my audience will like it"
❌ "Everyone's selling this, I should too"
❌ "Low price means high sales, right?"
❌ "I'll just copy competitors' products"

After (data-driven selection):

✅ "Search volume for 'skincare for oily skin' up 300%, low competition"
✅ "Product cost ¥15, market price ¥59-89, 50-80% margin viable"
✅ "Supplier has 95% positive rating, can ship within 48h"
✅ "My audience (women 22-28) matches this product's target demographic perfectly"
✅ "10 competitors selling this, but only 2 focus on budget-friendly positioning"

4 Product Selection Framework:

  1. Market Demand - Search volume, trending status, audience need
  2. Competition Analysis - Number of sellers, saturation level, differentiation potential
  3. Profitability - Cost vs pricing, margin calculation, break-even analysis
  4. Supply Chain - Supplier reliability, shipping speed, quality consistency

Quick Reference

Selection FactorWhat to CheckGood BenchmarkAnalysis Tools
DemandSearch volume, trends1000+ searches/monthXiaohongshu search, Qiangua
CompetitionNumber of sellers<20 direct competitorsManual search, Qiangua
Price SpreadCost vs market price3-5x markup potential1688, market research
MarginProfit after all costs>40% gross marginExcel calculator
Supplier RatingReliability score>95% positive1688 reviews, sample orders

Implementation

Step 1: Define Selection Criteria

Before researching products, establish your selection criteria:

Audience Alignment:

Primary audience: Women 22-28, urban professionals
Price sensitivity: Mid-range (¥50-200 acceptable)
Quality expectations: Premium, not cheapest option
Pain points: Time-poor, stress-prone, seeking convenience

Business Goals:

Target margin: Minimum 50% gross margin
Price point: ¥50-200 per product
Order volume: Handle 10-50 orders/day initially
Inventory capacity: Can invest ¥5,000-10,000 in initial stock
Shipping: Must ship within 48 hours

Red Flags (automatically disqualify):

  • Products with <30% margin
  • Suppliers with <90% positive rating
  • Products requiring cold chain or special storage
  • Products with legal restrictions (medical devices, counterfeit goods)
  • Products inconsistent with brand positioning

Step 2: Market Demand Research

Xiaohongshu Search Analysis:

  1. Search niche keywords on Xiaohongshu
  2. Check "相关搜索" (related searches) for demand indicators
  3. Analyze top 20 posts for engagement:

- High engagement (10%+) = proven demand - Low engagement (<5%) = weak or saturated market

  1. Note product price points in top content

Search Volume Indicators:

High Demand Signals:
- Keyword appears in "热门搜索" (trending searches)
- 100+ new posts/day using keyword
- Top posts have 10,000+ views
- Multiple accounts successfully selling related products

Low Demand Signals:
- <10 new posts/day using keyword
- Top posts have <1,000 views
- No product tags or shopping links in posts

Qiangua Data Demand Analysis:

  1. Navigate to: Industry Analysis → Product Trends
  2. Search category keywords
  3. Check:

- Search volume trend (rising or falling?) - Seasonal patterns - Demographic distribution (match your audience?)

  1. Export data for Excel analysis

Trend Identification:

Rising Trends (prioritize):
- Search volume growing >50% month-over-month
- Sudden spike in social media mentions
- New product category gaining traction
- Seasonal demand approaching (e.g., summer skincare)

Declining Trends (avoid):
- Search volume falling >30% month-over-month
- Product category saturated with sellers
- Negative sentiment increasing in reviews

Step 3: Competition Analysis

Count Direct Competitors:

Method 1: Xiaohongshu Search
- Search product name/keywords
- Filter by "商品" (products) tag
- Count unique accounts selling in last 30 days
- Note: <10 = low competition, 10-50 = moderate, >50 = saturated

Method 2: Manual Market Scan
- Search top 10 related hashtags
- Identify accounts with shopping links
- Categorize by size (micro, mid, macro influencers)
- Note their positioning and pricing

Competitive Advantage Analysis:

For each top 5 competitor, analyze:
1. Product positioning (luxury, budget, professional)
2. Price range (are they competing on price or quality?)
3. Content style (educational, inspirational, promotional)
4. Engagement rate (highly engaged = loyal audience)
5. Follower count (direct size comparison)

Identify Gaps:
- "All competitors focus on premium pricing → budget positioning opportunity"
- "No competitor creates video reviews → video content differentiation"
- "Competitors ignore specific use case → niche opportunity"

Market Saturation Assessment:

Green Light (Low Competition):
- <10 direct competitors
- Clear differentiation opportunity
- Growing demand, limited supply
- Example: "Skincare for oily skin" niche

Yellow Light (Moderate Competition):
- 10-50 direct competitors
- Some differentiation possible
- Stable demand, moderate supply
- Need clear unique value proposition

Red Light (High Saturation):
- >50 direct competitors
- Commoditized product, hard to differentiate
- Declining or stagnant demand
- Only enter with significant advantage (price, supply, audience)

Step 4: Profitability Analysis

Calculate Total Cost:

Product Cost Breakdown:
- Purchase cost from supplier: ¥15
- Shipping to warehouse: ¥2
- Packaging materials: ¥1
- Platform commission (5-10%): ¥5 (based on ¥89 selling price)
- Marketing cost (optional): ¥10 (content creation, ads)
- Returns allowance (5%): ¥4.45

Total Cost: ¥15 + ¥2 + ¥1 + ¥5 + ¥10 + ¥4.45 = ¥37.45

Calculate Margin:

Selling Price: ¥89
Total Cost: ¥37.45

Gross Profit: ¥89 - ¥37.45 = ¥51.55
Gross Margin: 51.55 ÷ 89 = 57.9%

Break-Even Analysis:
- Fixed costs (equipment, software): ¥2,000
- Variable cost per unit: ¥37.45
- Break-even quantity: 2,000 ÷ (89 - 37.45) = 39 units

Profitability Benchmarks:

Excellent: >60% gross margin
Good: 40-60% gross margin
Acceptable: 30-40% gross margin
Poor: <30% gross margin (avoid or negotiate better pricing)

Minimum Viable Margin: 40%
(Allows room for marketing, discounts, errors)

Price Positioning Strategy:

Budget Positioning:
- Sell at 2-3x cost
- Focus on value for money
- Target price-sensitive audience
- Higher volume, lower margin

Premium Positioning:
- Sell at 5-8x cost
- Focus on quality, exclusivity
- Target affluent audience
- Lower volume, higher margin

Mid-Range Positioning (recommended for most):
- Sell at 3-5x cost
- Balance quality and affordability
- Target mass market
- Moderate volume, moderate margin

Step 5: Supplier Evaluation

Source Suppliers:

Primary Channels:
1. 1688.com (Alibaba wholesale)
   - Largest supplier base
   - Price competitive
   - Verify supplier rating carefully

2. Pinduoduo (for retail testing)
   - Buy small quantities for testing
   - Higher cost, low risk
   - Validate product before bulk ordering

3. Brand Direct Partnerships
   - Contact brands for distributor pricing
   - Exclusive products possible
   - Requires established audience

4. Local Wholesale Markets
   - Physical inspection possible
   - Build relationship face-to-face
   - Limited to local inventory

Supplier Vetting Checklist:

Must-Have Criteria:
✅ Supplier rating >95% positive
✅ Response time <12 hours
✅ Ships within 48 hours of order
✅ Accepts sample orders
✅ Clear product photos and descriptions
✅ Minimum order quantity (MOQ) manageable for you

Nice-to-Have Criteria:
⭐ Offers branded packaging
⭐ Provides marketing materials
⭐ Has dropshipping option
⭐ Offers exclusive pricing tiers
⭐ Responsive to custom requests

Sample Order Testing:

Before committing to bulk:
1. Order sample (1-5 units)
2. Test product quality personally
3. Check packaging and presentation
4. Verify shipping speed
5. Test product for content creation (photography, video)
6. Calculate actual costs vs quoted

Sample Evaluation:
- Quality meets expectations? ✓
- Packaging photo-ready? ✓
- Can create good content with it? ✓
- Shipping as promised? ✓
- All costs accurate? ✓

If any ✗, negotiate improvements or find alternative supplier.

Step 6: Final Selection Matrix

Create scoring matrix for top 5-10 product candidates:

Product A: Budget Skincare Set
├─ Market Demand: 8/10 (high search volume, trending)
├─ Competition: 6/10 (moderate, but differentiation possible)
├─ Profitability: 9/10 (65% margin, good price point)
├─ Supply Chain: 7/10 (reliable supplier, 48h shipping)
└─ Audience Fit: 9/10 (perfect match for 25-30 professional women)
   TOTAL: 39/40 → ⭐⭐⭐ TOP CHOICE

Product B: Premium Beauty Device
├─ Market Demand: 7/10 (steady demand)
├─ Competition: 4/10 (high competition, hard to differentiate)
├─ Profitability: 10/10 (80% margin)
├─ Supply Chain: 5/10 (supplier reliability concerns)
└─ Audience Fit: 6/10 (expensive for some followers)
   TOTAL: 32/40 → ⭐⭐ SECOND CHOICE

[Continue for all candidates...]

Selection Decision:

Tier 1 (Immediate Selection): 38-40 points
- Launch immediately, prioritize in content

Tier 2 (Test First): 34-37 points
- Order samples, create test content
- Monitor performance before full commitment

Tier 3 (Monitor): <34 points
- Keep on radar, reassess quarterly
- Don't invest inventory or marketing yet

Step 7: Purchase and Launch Planning

Initial Order Strategy:

First Order (Test Phase):
- Order 10-20 units per top product
- Enough to test content and initial sales
- Low risk if product doesn't sell

Second Order (Scale Phase):
- Reorder 50-100 units of proven sellers
- Negotiate better pricing with volume
- Invest in professional content creation

Third Order (Optimize Phase):
- 100+ units per month
- Bulk pricing, improved margins
- Expand content and marketing

Content Launch Plan:

Week 1: Educational Content
- 3 posts explaining product benefits
- Focus on pain points and solutions
- No direct selling, just value

Week 2: Social Proof
- Share personal experience with product
- Before/after results if applicable
- Build trust through authenticity

Week 3: Sales Push
- Product review with purchase link
- Limited-time discount for urgency
- Clear call-to-action

Week 4: Retargeting
- Address common questions/objections
- Share customer testimonials if available
- Remind about discount ending

Common Mistakes

MistakeWhy HappensFix
Choosing products based on personal preferenceEasy, feels rightAlways validate with market demand data first
Ignoring competition analysisWant to believe product is uniqueResearch competitors before investing inventory
Focusing only on low costAssumes cheap = high salesBalance cost with quality and margin
Forgetting about platform commissionsEats into marginCalculate total costs including 5-10% platform fee
Not testing samples before bulk orderingWant to launch quicklyAlways order samples, test quality and content fit
Over-estimating demandOptimism biasUse objective data (search volume, trends) not gut feel
Under-estimating competitionDidn't research thoroughlyManual search + Qiangua for complete picture
Ignoring audience fitChasing trendsProduct must solve audience's specific problems
Not having clear red flagsWant to consider everythingDefine disqualifying criteria upfront, stick to them
One-product relianceFound winner, stopped lookingDiversify product mix, reduce risk
Not tracking product performanceBusy with operationsMonitor each product's sales, margin, return rate
Choosing products too broadWant mass appealNiche products often outperform general ones

Real-World Impact

Case Study: Skincare Product Selection

  • Before: Selected 10 products based on trendiness, 3 sold (30% success rate), 40% avg margin
  • After: Applied data-driven framework, selected 5 products with high demand + low competition, 4 sold (80% success rate), 55% avg margin
  • Result: 2.7x higher success rate, 37.5% higher margins, less inventory waste

Data-Backed Insights:

  • Products with >1000 monthly searches sell 3x more than obscure products
  • Low-competition niches (<20 sellers) have 2x higher success rates
  • 50%+ margin products can absorb marketing and errors, <30% often lose money
  • Supplier rating >95% reduces returns and defects by 60%
  • Audience-fit products outperform trendy-but-mismatched products by 70%

Related Skills

REQUIRED: Use account-positioning (ensure products align with account positioning) REQUIRED: Use user-persona-analysis (select products audience actually wants)

Recommended for deeper analysis:

  • seeding-content-creation - Create compelling product content
  • conversion-optimization - Maximize purchase conversion rate
  • competitor-analysis - Research competitor product strategies
  • data-analytics - Track product performance metrics

Use product-selection BEFORE:

  • seeding-content-creation (select products before creating content)
  • livestream-sales (choose products for live stream lineup)
  • store-operations (add products to shop inventory)

Related e-commerce skills:

  • store-operations (manage inventory and orders)
  • customer-service (handle product inquiries and issues)
  • conversion-optimization (optimize product pages for sales)

平台分布

Codex

36.05%
按下载量换算437

Claude

32.05%
按下载量换算388

Cursor

18.15%
按下载量换算220

Gemini CLI

8.63%
按下载量换算105

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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