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Agent Skill · 研究检索

assortment-scout(品类侦察员)

assortment-scout 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。

assortment-scout 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 30,957。

总安装 2,791周安装 114GitHub Stars 公开资料未说明下载 894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
1.0.0

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:assortment-scout(品类侦察员)
来源仓库:https://github.com/harrylabsj/assortment-scout
安装命令:
openclaw skills install assortment-scout
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 assortment-scout

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。

审核电子商务目录,发现 SKU 蔓延、价格覆盖差距等问题并处理。适用于 OpenClaw 中的品类管理与电商运营优化场景。识别英雄依赖、长尾膨胀等风险,支持粗暴处理以提升效率。安装前需确认权限范围、维护状态及是否触发数据读写或外部服务调用。

assortment-scout 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 assortment-scout;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

    它需要需要联网,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

assortment-scout 怎么安装?

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

assortment-scout 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。

assortment-scout 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

assortment-scout 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。

assortment-scout 用的人多吗?

公开数据是累计安装 2,791 次,近一周安装 114 次,下载 894 次。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。

assortment-scout 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

  • 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

  • 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
assortment-scout

品类侦察员 · 本页

2,791—需要联网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
assortment-scout
description
Audit an ecommerce catalog, spot SKU sprawl, price and attribute coverage gaps, hero dependence, long-tail bloat, and duplicate-risk clusters, then turn rough catalog notes or CSV exports into keep-add-expand-merge-retire recommendations and a 30-day merchandising brief. Use when merchandisers, category managers, marketplace sellers, or consultants need assortment planning support without live ERP, PIM, or marketplace APIs.

Assortment Scout

Overview

Use this skill to turn catalog notes, export summaries, and merchandising goals into a practical assortment review. It is built for operators who need a fast decision layer for what to keep, expand, bundle, merge, or retire.

This MVP is heuristic. It does not access live Shopify, Amazon, ERP, PIM, or marketplace systems. It relies on the user's provided catalog structure, product performance notes, and business constraints.

Trigger

Use this skill when the user wants to:

  • reduce SKU clutter or long-tail bloat
  • identify price-band, feature, or variant coverage gaps
  • review duplicate-risk or cannibalization concerns
  • prepare a category review, seasonal line review, or catalog cleanup memo
  • turn pasted catalog notes into a prioritized merchandising action brief

Example prompts

  • "Audit our catalog for SKU clutter and hero-product dependence"
  • "Find assortment gaps across our travel accessories line"
  • "Which products should we keep, merge, bundle, or retire?"
  • "Create an assortment review from these catalog and margin notes"

Workflow

  1. Capture the review objective, such as cleanup, gap discovery, expansion planning, or seasonal review.
  2. Normalize the likely assortment signals: revenue, margin, returns, inventory, and variant coverage.
  3. Apply a portfolio lens across hero, core, seasonal, long-tail, and duplicate-risk products.
  4. Highlight likely gap areas, overlap clusters, and execution priorities.
  5. Return a markdown brief with keep-add-expand-merge-retire guidance and a 30-day plan.

Inputs

The user can provide any mix of:

  • catalog exports or summarized SKU lists
  • category, subcategory, price, margin, and launch-age notes
  • performance signals such as revenue, units, conversion, returns, ratings, or sell-through
  • variant structure such as size, color, pack size, or material
  • business goals such as premiumization, bundle strategy, entry-price coverage, or seasonal cleanup
  • operating constraints such as shelf space, warehouse capacity, cash limits, or protected hero products

Outputs

Return a markdown assortment brief with:

  • assortment health summary
  • scorecard lenses and evidence gaps
  • coverage and gap map
  • duplicate-risk or cannibalization watchlist
  • keep-add-expand-merge-retire recommendations
  • 30-day execution brief with likely owners
  • assumptions, confidence notes, and limits

Safety

  • Do not claim access to live catalog or marketplace data.
  • Treat cannibalization as an informed hypothesis, not proven causality.
  • Do not auto-retire, merge, or reprice products.
  • Downgrade recommendations when taxonomy, margin, or demand evidence is incomplete.
  • Keep strategic SKU decisions human-approved.

Best-fit Scenarios

  • DTC or marketplace catalogs with roughly 30 to 2,000 active SKUs
  • regular category reviews, quarterly assortment planning, or pre-promo cleanup
  • teams that want a lighter decision layer than a full merchandise-planning suite
  • consultants who need a fast first-pass assortment memo

Not Ideal For

  • store-level planogram planning for large physical retail networks
  • businesses with no structured catalog or product taxonomy at all
  • workflows that need automatic listing edits, delisting, or system sync
  • highly regulated approvals where assortment change requires formal governance

Example Output Pattern

A strong response should:

  • show the likely assortment shape, not just list products
  • separate hero, core, seasonal, long-tail, and duplicate-risk logic
  • explain where the catalog is overbuilt or under-covered
  • recommend next actions with impact, confidence, and owner hints
  • include a short assumptions block when the evidence is partial

Acceptance Criteria

  • Return markdown text.
  • Include health, gap, recommendation, and execution sections.
  • Make the advisory framing explicit.
  • Keep the brief practical for merchandisers and ecommerce operators.

平台分布

OpenClaw

93.57%
按下载量换算837

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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