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ecomm-new-products经济新产品

Agent Skill

ecomm-new-products 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

3,195

周安装

128

GitHub Stars

公开资料未说明

下载量

1,034
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:ecomm-new-products(经济新产品)
来源仓库:https://github.com/no7dw/ecomm-new-products
安装命令:
openclaw skills install ecomm-new-products
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install ecomm-new-products

简介

使用类别数据、竞争、市场差距、验证和发布规划,为电子商务新产品开发提供端到端分析和策略。

SKILL.md

Skill: E-commerce New Product Research & Development

Overview

This skill provides an end-to-end workflow for new product research and development across e-commerce platforms (e.g., Amazon, Shopee, SHEIN). It covers:

  • Category data analysis
  • Target segment identification
  • Competitive and feature analysis
  • Market gap discovery
  • Product definition
  • Validation and launch strategy

This framework is category-agnostic and applicable to both private label and branded product development.


Inputs Required

InputDescriptionExample
Category export fileProduct data export from research tools or platforms.xlsx / .csv export
Target price rangeDesired selling price band$20 – $40
Material / positioningTarget quality tier and audiencemid-tier / premium / budget
SKU count goalNumber of products to develop2–5 SKUs
Sample specs (optional)Prototype dimensions and featuressize, weight, components

Supported Data Sources

This workflow supports export files from:

  • Amazon tools: Sorftime, Helium10, Jungle Scout, SIF
  • Shopee tools: Shopdora, platform exports
  • SHEIN tools: SHEIN selection assistant
  • Any structured dataset containing product-level metrics

Workflow Steps


Step 1 — Category Overview

Parse the export file and produce:

  • Total monthly and annual unit volume
  • Seasonality trends (monthly demand peaks)
  • Price distribution (bucketed by intervals)
  • Top brands / sellers by SKU count and sales

Typical fields to extract:

Monthly Sales, Annual Sales, Price,
Gross Profit, Margin,
Category Rank, Subcategory,
Listing Age (days),
Review Count, Rating,
Brand / Seller,
Bullet Points / Description,
Dimensions, Weight

Step 2 — Target Segment Deep Dive

Filter products by:

  • Target price range
  • Positioning (quality tier / material / use case)

Analyze:

  • SKU count per sub-price band
  • Average monthly sales per SKU
  • Average margin per band
  • Brand concentration per band

Decision rule:

Select the segment where:

  • High average sales per SKU
  • Low brand dominance / fragmentation

→ This indicates a potential opportunity zone


Step 3 — Competitor & Feature Analysis

Brand Landscape

  • Identify top brands by SKU count
  • Analyze their pricing patterns
  • Understand positioning (budget vs premium vs niche)

Feature / Attribute Analysis

Extract recurring attributes from titles, bullets, or descriptions:

Group into:

  • Functional attributes (performance, utility)
  • Design attributes (style, form factor)
  • Usage attributes (scenarios, convenience)

For each attribute:

  • Count number of SKUs
  • Calculate average sales

Interpretation:

  • High sales + low SKU count → opportunity
  • High sales + high SKU count → competitive but validated
  • Low sales → weak demand signal

Step 4 — Market Gap Identification

Identify 3–5 opportunities using:

Gap TypeCriteriaSignal
Attribute gapHigh demand attribute with low SKU presenceUnderdeveloped niche
Positioning gapMissing tier (e.g. mid-tier between budget & premium)Pricing imbalance
Format gapInefficient or outdated product formatsOptimization opportunity
Trend gapEmerging trend not yet saturatedEarly mover advantage

Step 5 — Product Definition (per SKU)

For each recommended SKU:

Product Name (working title)
Suggested Price: $XX.XX

Why this opportunity exists:
[Data-backed reasoning]

Positioning:
[Target audience + tier]

Core Specifications:
- Dimensions:
- Weight:
- Key components:
- Structure / format:

Variants:
[Color / style / version options]

Key Differentiation:
[Clear advantage vs competitors]

Estimated Margin:
~$XX (~XX%)

Launch Timing:
[Quarter / season]

Step 6 — Sample / Prototype Validation

If prototype or spec sheet is available:

Dimension Validation

  • Confirm size aligns with intended use case
  • Benchmark against top competitors
  • Check compatibility with primary usage scenarios

Feature Feasibility

  • Validate physical feasibility of components
  • Ensure no over-complexity or cost inefficiency
  • Confirm manufacturability

Scoring (1–5 scale)

  • Use-case fit
  • Competitive differentiation
  • Feature completeness
  • Cost vs value balance
  • Margin viability

Step 7 — Social Proof Validation

Validate demand using external signals:

Platforms

  • Reddit (category discussions, sentiment)
  • Google Trends (search demand over time)
  • Media / blogs (trend mentions)
  • Social platforms (indirect trend signals)

Validation Criteria

  • At least one product with strong sales performance in niche
  • Evidence of growing or stable search demand
  • Community or media discussion indicating awareness

Step 8 — Keyword Advertising Framework

Tier 1 — Awareness

  • Broad category and attribute keywords
  • Goal: traffic discovery

Tier 2 — Conversion

  • Specific long-tail keywords
  • Use-case driven queries
  • Goal: improve conversion rate

Tier 3 — Competitor Targeting

  • Competitor brand + product type
  • Goal: capture high-intent traffic

Campaign Structure

CampaignTypeGoal
Auto discoveryAutomated adsKeyword discovery
Core keywordsManual broadRanking
Long-tailPhrase / exactConversion
CompetitorExactTraffic capture
RetargetingDisplayConversion recovery

Step 9 — Launch Timeline

Phase 1: Initial launch (test demand)
Phase 2: Optimization (ads + listing improvements)
Phase 3: Expansion (variants / additional SKUs)

Pre-launch Checklist

  • Supplier validation
  • Sample approval (quality, usability)
  • Listing assets (images, descriptions)
  • Pricing and promotion strategy
  • Advertising budget allocation
  • Review acquisition process

Output Format

The workflow should produce:

  1. Market Overview
  2. Target Segment Analysis
  3. Competitive Landscape
  4. Market Gaps
  5. Product Recommendations
  6. Sample Validation (if applicable)
  7. Social Proof Summary
  8. Keyword Strategy
  9. Launch Plan

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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