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Assortment Scout

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install assortment-scout
功能描述
Audit an ecommerce catalog, spot SKU sprawl, price and attribute coverage gaps, hero dependence, long-tail bloat, and duplicate-risk clusters, then turn roug...
使用说明 (SKILL.md)

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.
安全使用建议
This skill appears internally consistent and low-risk: it performs local, heuristic analysis of user-provided catalog data and returns a markdown brief. Before installing, you may (1) review handler.py in full to confirm no hidden network/file operations (the visible code is benign), (2) run the included tests in a safe environment to verify behavior, and (3) avoid pasting sensitive credentials or direct database exports into the skill input since the tool is meant to work from summaries/CSV excerpts and is not intended to perform live system changes.
功能分析
Type: OpenClaw Skill Name: assortment-scout Version: 1.0.0 The skill is a heuristic text-processing tool designed to generate ecommerce assortment reports from user-provided notes. The code in handler.py uses basic keyword matching to categorize input and construct a markdown response, with no evidence of network access, file system interaction, or malicious execution patterns.
能力评估
Purpose & Capability
The name/description, SKILL.md, and handler.py all implement a heuristic assortment-audit assistant. Required capabilities (none) match the stated scope; there are no unrelated dependency or credential requests.
Instruction Scope
SKILL.md explicitly states it does not access live ERP/PIM/marketplace data and warns against automated changes. The included handler.py only parses input and renders a markdown brief; it does not read external system files, call network endpoints, or access environment variables.
Install Mechanism
There is no install spec (instruction-only). Code files are included but there is no download/install mechanism or execution of external installers. This is low-risk.
Credentials
The skill declares no required env vars, no primary credential, and no config paths. The runtime code does not attempt to read environment variables or secrets.
Persistence & Privilege
always is false and the skill does not request permanent presence or attempt to modify other skills or system settings. It does not persist credentials or enable itself automatically.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install assortment-scout
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /assortment-scout 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
**Initial release of assortment-scout — an MVP skill for ecommerce catalog review and assortment planning without live system integration.** - Lets users audit SKU sprawl, duplicate clusters, and assortment gaps using notes or exports. - Produces keep, add, expand, merge, and retire recommendations with a 30-day execution brief in markdown. - Relies on user-supplied inputs; does not connect to live ERP, PIM, or marketplace APIs. - Designed for merchandisers, category managers, marketplace sellers, and consultants needing fast assortment analysis. - Outputs practical, clearly-framed summaries with confidence notes and advisory, not automated, guidance.
元数据
Slug assortment-scout
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Assortment Scout 是什么?

Audit an ecommerce catalog, spot SKU sprawl, price and attribute coverage gaps, hero dependence, long-tail bloat, and duplicate-risk clusters, then turn roug... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 90 次。

如何安装 Assortment Scout?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install assortment-scout」即可一键安装,无需额外配置。

Assortment Scout 是免费的吗?

是的,Assortment Scout 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Assortment Scout 支持哪些平台?

Assortment Scout 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Assortment Scout?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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