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distributor-product-selectiondistributor product selection 搜索

Agent Skill

distributor-product-selection 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。

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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:distributor-product-selection(distributor product selection 搜索)
来源仓库:https://github.com/lcturing0/distributor-product-selection
安装命令:
openclaw skills install distributor-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。

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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 distributor-product-selection

简介

用于跨平台产品选择和采购分析,支持速卖通、亚马逊等平台。

  • 适合分销商或直销商进行商品筛选和供应商评估。
  • 通过 clawhub 安装,命令为 openclaw skills install distributor-product-selection。
  • 使用前请确认 API 密钥和接口权限,注意数据准确性验证。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
distributor-product-selection
description
Cross-platform product selection and sourcing analysis for distributors and dropshippers. Uses opencli plugins (aliexpress, alibaba-api buyer API, amazon) to cross-analyze supply channels (Alibaba distribution + AliExpress dropshipping) against retail channels (Amazon) and generate structured product research reports with margin calculations. Use this skill whenever the user mentions product selection, product research, finding products to sell, sourcing analysis, cross-border e-commerce sourcing, dropshipping product research, "what should I sell", "find winning products", comparing Alibaba vs AliExpress pricing, analyzing Amazon competition for sourcing decisions, or any task involving evaluating products across supply and retail platforms.
requires
bins
env
primaryEnv
ALI_ACCESS_TOKEN
homepage
https://github.com/lcturing0/skills

Distributor Cross-Platform Product Selection

Business Model

Supply / Dropship Channels                Retail Channels
┌─────────────┐                    ┌──────────────────┐
│ Alibaba     │  Distribution      │ Amazon           │
│ buyer API   │  (preferred)       │ (pricing & demand │
│ tiered/MOQ  │ ──────────────────→│  reference)       │
├─────────────┤                    ├──────────────────┤
│ AliExpress  │  Dropship          │ Shopify / TikTok │
│ search/prod │  (test products)   │ Shop / Wix       │
│ zero stock  │ ──────────────────→│ (profit channels) │
└─────────────┘                    └──────────────────┘

Core principles:

  • Alibaba buyer API returns distribution products (most with MOQ of 1) — always use this first
  • AliExpress serves as a comparison supply channel (price benchmarking + dropship fallback)
  • Amazon is used only as a retail reference (competitor pricing, market demand, trend validation)

Prerequisites

Environment Variables

The Alibaba buyer API requires these environment variables:

ALI_APP_KEY=<your_app_key>
ALI_APP_SECRET=<your_app_secret>
ALI_ACCESS_TOKEN=<your_access_token>

If ALI_ACCESS_TOKEN is not set or has expired, run the authorization flow:

# 1. Generate OAuth authorization URL
opencli alibaba-api auth-url "https://localhost/callback"
# 2. User authorizes in browser, obtains the code
# 3. Exchange code for token
opencli alibaba-api token-create "<code>"
# 4. Refresh expired token
opencli alibaba-api token-refresh "<refresh_token>"

Plugin Check

Before starting, verify all three plugins are installed:

opencli plugin list

Required plugins: aliexpress, alibaba-api, amazon. Install any missing plugin with opencli plugin install <name>.


Product Selection Workflow (5 Steps)

Step 1: Define Selection Criteria

Confirm the following with the user (use reasonable defaults if not specified, and inform the user):

ParameterDescriptionDefault
Category keywordsProduct types to researchDriven by trend discovery
Target marketCountry/region for retailUS
Retail channelAmazon / Shopify / TikTok Shop, etc.All channels
Budget rangeExpected per-unit sourcing costNo limit
Result countNumber of categories to recommend5

If the user has no specific category in mind, use trend discovery first:

# Amazon Movers & Shakers — short-term growth signals
opencli amazon movers-shakers --limit 50 -f json

# Amazon New Releases — early momentum
opencli amazon new-releases --limit 50 -f json

# Amazon Best Sellers — specific category
opencli amazon bestsellers "<category_url>" --limit 50 -f json

# Alibaba distribution trend lists
opencli alibaba-api buyer-list US_GGS_Trendy --size 50 -f json
opencli alibaba-api buyer-list US_GGS_Hotselling --size 50 -f json
opencli alibaba-api buyer-list alibaba_picks --size 50 -f json

Extract 3–5 high-potential category keywords from the results, then proceed to Step 2.


Step 2: Supply Channel Data Collection

For each target category keyword, search Alibaba distribution products first, then AliExpress as a comparison.

2a. Alibaba Distribution Search (Priority)

# Keyword search for distribution products
opencli alibaba-api buyer-search "<keyword>" --size 20 -f json

Returns: product_id, title, price, permalink

For products with suitable pricing, get details:

# Product details — tiered pricing, SKUs, images
opencli alibaba-api buyer-desc <product_id> -f json

# Product attributes — material, dimensions, certifications
opencli alibaba-api buyer-attrs <product_id> -f json

# Product certifications — FCC/CE/UL, etc.
opencli alibaba-api buyer-cert <product_id> -f json

# Inventory check — by ship-from location
opencli alibaba-api buyer-inventory <product_id> --ship_from US -f json
opencli alibaba-api buyer-inventory <product_id> --ship_from CN -f json

2b. Special Inventory Channels (Fast Delivery)

# Cross-border warehouse products (overseas warehouse, faster delivery)
opencli alibaba-api buyer-crossborder --size 30 -f json

# Overseas local warehouse products (US warehouse, 2–5 day delivery)
opencli alibaba-api buyer-local --size 30 -f json

# Local warehouse regular fulfillment
opencli alibaba-api buyer-local-regular --size 30 -f json

# Specific distribution product lists
opencli alibaba-api buyer-list US_CGS_48H --size 50 -f json    # US 48-hour delivery
opencli alibaba-api buyer-list US_GGS_48H --size 50 -f json    # US GGS 48-hour
opencli alibaba-api buyer-list US_GGS_POD --size 50 -f json    # Print on Demand
opencli alibaba-api buyer-list US_GGS_Branded --size 50 -f json # Branded distribution

Use buyer-desc to get details for returned product IDs.

2c. Similar Product Discovery

After finding a strong product, expand the selection pool with recommendations and image search:

# Similar product recommendations
opencli alibaba-api buyer-rec <item_id> --type 2 --size 20 -f json

# Frequently bought together
opencli alibaba-api buyer-rec <item_id> --type 3 --size 20 -f json

# Image search — find same product from different suppliers
opencli alibaba-api buyer-image-search <item_id> --size 20 -f json

2d. AliExpress Dropship Data (Comparison)

# Keyword search
opencli aliexpress search "<keyword>" --limit 20 -f json

Returns: product_id, title, price_text, discount_text, orders_count, rating

Get details for high-volume products:

opencli aliexpress product <product_id> -f json

Returns: product_id, title, price_text, discount_text, orders_count, rating, store_name


Step 3: Retail Channel Data Collection (Amazon)

Use the Amazon plugin to get retail pricing, competitive landscape, and customer feedback.

3a. Search Competitors

# Keyword search — understand competition and price ranges
opencli amazon search "<keyword>" --limit 20 -f json

Returns: asin, title, price_text, rating_value, review_count

3b. Validate Top Competitors

For the top 3–5 ASINs from search results, get details:

# Product details
opencli amazon product <asin> -f json

# Seller and fulfillment info — FBA status, Amazon-sold check
opencli amazon offer <asin> -f json

# Review analysis — identify pain points and opportunities
opencli amazon discussion <asin> --limit 10 -f json

3c. Category Rankings

# Category best sellers
opencli amazon bestsellers "<category_url>" --limit 30 -f json

# Movers & Shakers — growth signals
opencli amazon movers-shakers "<category_url>" --limit 30 -f json

# New Releases — new entrants
opencli amazon new-releases "<category_url>" --limit 30 -f json

Step 4: Cross-Platform Analysis & Scoring

Aggregate data from all three platforms and score each candidate product on these dimensions:

Scoring Model (100 points max)

DimensionWeightData SourceScoring Criteria
Profit margin30%Alibaba buyer-desc tiered price vs Amazon retail priceGross margin >70% = full score, 50–70% = medium, <50% = low
Market demand25%Amazon search review_count + bestseller rankReviews >5000 = full, 1000–5000 = medium
Competition intensity15%Amazon search result count + Amazon-sold ratio from offersFewer Amazon-sold, more fragmented sellers = higher score
Supply advantage15%Alibaba MOQ + inventory + overseas warehouse availabilityMOQ ≤5 with US warehouse = full score
Differentiation potential10%Amazon discussion pain points + Alibaba buyer-attrsClear improvement opportunities = higher score
Trend direction5%Amazon movers-shakers rank changesUpward trend = higher score

Profit Calculation Formula

Wholesale cost = Tiered price from Alibaba buyer-desc (MOQ 1 price)
Dropship cost  = price_text from AliExpress product
Retail reference = Median price of top 10 results from Amazon search
Shipping estimate = By category weight (light $2–3 / medium $4–6 / heavy $8+)

Gross margin (distribution) = (Retail ref - Wholesale cost - Shipping) / Retail ref × 100%
Gross margin (dropship)     = (Retail ref - Dropship cost) / Retail ref × 100%

Step 5: Generate Report

Write the analysis results to a Markdown file with the following structure:

# Distributor Product Selection Report

**Date**: YYYY-MM-DD
**Target market**: <market>
**Categories**: <keyword list>
**Data sources**: opencli aliexpress / alibaba-api (buyer) / amazon

## 1. Category Recommendations Overview
<!-- Summary table: Rank, Category, Rating(★), Alibaba price, AliExpress price, Amazon retail price, Margin, Recommendation reason -->

## 2. Detailed Analysis by Category
### N. <Category> — <Rating>
#### Alibaba Distribution Data
<!-- Table: Product, Supplier, Tiered price, MOQ, SKU count, Overseas warehouse -->
#### AliExpress Dropship Comparison
<!-- Table: Product, Dropship price, Rating, Sales volume -->
#### Amazon Retail Competition
<!-- Table: ASIN, Product, Price, Rating, Reviews, FBA status -->
#### Profit Calculation
<!-- Table: Supply mode, Cost breakdown, Retail price, Gross profit, Margin -->
#### Customer Pain Points & Differentiation Opportunities
<!-- From Amazon discussion negative review analysis -->

## 3. Supply Mode Recommendations
<!-- AliExpress dropship vs Alibaba distribution: when to use which at each stage -->

## 4. Retail Channel Strategy
<!-- Analysis of which categories suit Amazon / Shopify / TikTok Shop -->

## 5. Action Items
<!-- This week / next week / ongoing: specific steps with product_ids -->

Save the report to product-research/product-selection-report.md in the working directory.


Command Quick Reference

AliExpress (Supply / Dropship)

CommandPurposeKey Parameters
opencli aliexpress search "<kw>" --limit N -f jsonSearch productskeyword, limit
opencli aliexpress product <id> -f jsonProduct detailsproduct_id or URL

Alibaba Buyer API (Distribution Products — Use First)

CommandPurposeKey Parameters
opencli alibaba-api buyer-search "<kw>" --size N -f jsonSearch distribution productskeyword, size
opencli alibaba-api buyer-desc <id> -f jsonProduct details (tiered pricing/SKU)product_id
opencli alibaba-api buyer-attrs <id> -f jsonProduct attributesproduct_id
opencli alibaba-api buyer-cert <id> -f jsonProduct certificationsproduct_id
opencli alibaba-api buyer-inventory <id> --ship_from US -f jsonInventory checkproduct_id, ship_from
opencli alibaba-api buyer-list <type> --size N -f jsonList by typeproduct_type, size
opencli alibaba-api buyer-crossborder --size N -f jsonCross-border warehouse productssize
opencli alibaba-api buyer-local --size N -f jsonOverseas local warehousesize
opencli alibaba-api buyer-local-regular --size N -f jsonLocal warehouse regular fulfillmentsize
opencli alibaba-api buyer-rec <id> --type 2 -f jsonSimilar product recommendationsitem_id, type
opencli alibaba-api buyer-image-search <id> -f jsonImage searchitem_id
opencli alibaba-api buyer-channel-import "<ids>" --ecology_type SHOPIFY -f jsonImport products to channelproduct_ids, ecology_type
opencli alibaba-api buyer-events <id> --event_type PRODUCT_LISTED --channel AMAZON -f jsonListing event notificationproduct_id, event_type, channel

buyer-list product_type values: US_CGS_48H, US_GGS_48H, US_TOTAL_48H, US_GGS_Hotselling, US_GGS_POD, US_GGS_Branded, US_GGS_Trendy, MX_GGS_48H, EU_GGS_48H, crossborder, alibaba_picks

buyer-rec type values: 1 = image search, 2 = similar products, 3 = frequently bought together

buyer-inventory ship_from values: CN, US, UK, CA, AU, DE, FR, VN, TR

Alibaba Authorization

CommandPurpose
opencli alibaba-api auth-url "<redirect_uri>"Generate OAuth authorization URL
opencli alibaba-api token-create "<code>"Exchange auth code for access_token
opencli alibaba-api token-refresh "<refresh_token>"Refresh expired token

Amazon (Retail Channel)

CommandPurposeKey Parameters
opencli amazon search "<query>" --limit N -f jsonSearch productsquery, limit
opencli amazon product <asin> -f jsonProduct detailsASIN or URL
opencli amazon offer <asin> -f jsonSeller / fulfillment infoASIN
opencli amazon discussion <asin> --limit N -f jsonReview analysisASIN, limit
opencli amazon bestsellers [url] --limit N -f jsonBest sellerscategory URL, limit
opencli amazon new-releases [url] --limit N -f jsonNew releasescategory URL, limit
opencli amazon movers-shakers [url] --limit N -f jsonMovers & Shakerscategory URL, limit

Execution Notes

  1. Always use -f json for all opencli commands for easy parsing and aggregation.
  2. Alibaba buyer API commands require ALI_ACCESS_TOKEN. Check before execution; if not set or if an auth error is returned, guide the user through the OAuth flow.
  3. The alibaba-api buyer commands are the core — always use buyer-search for distribution products, not product-search or product-list (those are seller-perspective, not distribution).
  4. Get buyer-desc details for at least 3 Alibaba distribution products per category to ensure tiered pricing data is available for margin calculations.
  5. Amazon data determines the retail price band — use the median price of the top 10 amazon search results as the pricing reference.
  6. AliExpress data serves as a dropship cost benchmark — compare against Alibaba distribution pricing to quantify the cost advantage of distribution.
  7. Timeout handling: opencli commands using browser scraping can be slow; set a 60-second timeout per command. Alibaba buyer API commands (Strategy: public) do not use browser scraping and are faster.
  8. Pagination: use the --index parameter to paginate (starting from 0) when more data is needed.

Post-Selection Actions

After product selection is complete, use the Alibaba buyer API channel import feature to push distribution products directly to your store:

# Bulk import selected products to Shopify
opencli alibaba-api buyer-channel-import "product_id1,product_id2,product_id3" \
  --ecology_type SHOPIFY -f json

# Notify Alibaba that a product has been listed on Amazon
opencli alibaba-api buyer-events <product_id> \
  --event_type PRODUCT_LISTED --channel AMAZON -f json

Supported channels (ecology_type): SHOPIFY, WIX, MERCADO, etc. Supported event notification channels (channel): SHOPIFY, AMAZON, TEMU, WALMART, SHEIN, MERCADO, etc.

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