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Agent Skill · 研究检索

distributor-product-selection(distributor product selection 搜索)

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。

distributor-product-selection 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 27,559。

总安装 3,370周安装 135GitHub Stars 2下载 1,091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
MIT-0
版本
1.0.2

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。

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 distributor-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。

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。

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 OpenClaw;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 openclaw skills install distributor-product-selection;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

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

distributor-product-selection 怎么安装?

在终端执行 openclaw skills install distributor-product-selection。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

distributor-product-selection 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

distributor-product-selection 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

distributor-product-selection 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

distributor-product-selection 用的人多吗?

公开数据是累计安装 3,370 次,近一周安装 135 次,下载 1,091 次,GitHub 2 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。

distributor-product-selection 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
distributor-product-selection

distributor product selection 搜索 · 本页

3,3702接触敏感数据MIT-0通过

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

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.

平台分布

OpenClaw

78.33%
按下载量换算855

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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