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lululemon-au-product-finderlululemon au 产品搜索器

Agent Skill

lululemon-au-product-finder 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

4,775

周安装

203

GitHub Stars

公开资料未说明

下载量

1,673
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:lululemon-au-product-finder(lululemon au 产品搜索器)
来源仓库:https://github.com/ensonfun/lululemon-au-product-finder
安装命令:
openclaw skills install lululemon-au-product-finder
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 lululemon-au-product-finder

简介

lululemon-au-product-finder 在澳洲官网按自然语言查找服装产品。

  • 适合购物比价、尺码咨询或新品追踪等消费决策辅助场景。
  • 返回结构化商品信息,包括颜色、尺寸和库存状态。
  • 使用前需确认网站区域限制,国际用户可能无法访问完整目录。
  • 注意图片加载依赖 CDN 可用性,部分地区可能出现显示异常。

SKILL.md

name
Lululemon AU Finder
description
Find a product on the Lululemon Australia site from a natural-language clothing description and return structured details such as product name, variant colors, sizes, prices, URLs, and provenance. Includes fallback handling for anti-bot blocks.
homepage
https://www.lululemon.com.au/en-au/home
read_when
metadata
{"clawdbot":{"emoji":"🛍️"}}

Lululemon Au Product Finder

Overview

This skill finds a Lululemon Australia product from a fuzzy user description and returns structured variant data. It is optimized for live catalog lookups where direct curl-style scraping or fresh browser automation may be blocked, and it is expected to degrade gracefully instead of failing hard.

Core Rules

  • Treat all catalog information as live. Verify against current pages before answering.
  • Scope the work to lululemon.com.au, usually under /en-au/p/.
  • Prefer search-engine discovery over Lululemon's onsite search.
  • Prefer product detail pages over category, sale, or search pages.
  • Group variants by product slug, then merge data across multiple variant URLs.
  • Report uncertainty explicitly when only one variant page is accessible.
  • Preserve per-field provenance when falling back to snippets or indirect evidence.

Workflow

1. Normalize the Request

Extract the strongest product tokens from the user's description:

  • product family: Define Jacket, Swiftly Tech, ABC Pant
  • fabric or line: Nulu, Luon, Warpstreme
  • fit or length: cropped, hip length, 5 inch
  • audience if present: women, men

Preserve meaningful qualifiers. Remove filler words.

Build 2-4 search queries, for example:

  • site:lululemon.com.au/en-au/p "define jacket nulu"
  • site:lululemon.com.au/en-au/p "swiftly tech long sleeve 2.0"
  • site:lululemon.com.au/en-au/p "abc trouser warpstreme"

2. Discover Candidate Product Pages

Use web search first. Do not start with direct requests to the site's search pages.

Good candidates:

  • URLs under https://www.lululemon.com.au/en-au/p/...
  • search results whose title closely matches the requested product name

Bad candidates unless nothing else exists:

  • category pages under /c/
  • sale landing pages
  • URLs that only differ by unrelated campaign parameters

When the search result is close but ambiguous, open the top candidates and compare:

  • page title
  • main product heading
  • fit/fabric text
  • price range vs single price

3. Select the Product and Collect Variants

Treat the slug after /p/ as the product family key.

Example:

  • .../p/define-jacket-nulu/154826268.html
  • .../p/define-jacket-nulu/149502742.html

These usually represent the same product family with different color variants, and sometimes different sale states.

Rules:

  • merge URLs with the same slug into one product record
  • keep variant-level prices and sizes separate
  • do not assume one page exposes every color name
  • do not invent colors from swatch images alone

If needed, read anti-bot-and-sources.md for the validated discovery strategy and known failure modes.

3A. Anti-Bot Fallback Ladder

If a product page is blocked or partially readable, do not stop immediately. Fall back in this order:

  1. open another search result for the same slug
  2. open another variant URL for the same slug
  3. use search-result snippets that point to official lululemon.com.au product URLs
  4. use category or collection pages on lululemon.com.au to confirm the product family and current price band
  5. reuse an existing real browser session if the environment supports it
  6. ask the user for a direct official URL, page HTML, or screenshots only after the official-site fallbacks above are exhausted

What each fallback is allowed to answer:

  • product name: product page, snippet, category card
  • official URL: product page, search result
  • color: product page first, search snippet second, same-slug sibling pages third
  • sizes: product page first, snippet second
  • current price: product page first, snippet or category card second
  • original price or sale state: product page first, snippet second

Do not use unofficial reseller pages to fill official catalog fields.

4. Extract Fields From Each Variant Page

From each accessible variant page, extract:

  • product_name
  • url
  • color
  • price.current
  • price.original when a regular price is shown
  • price.sale
  • sizes
  • optional flags such as low_stock, notify_only, online_only

Common page anchors:

  • the main heading near the top of the page
  • Colour :
  • Select US Size (AU Size)
  • A$...
  • Sale Price ... Regular Price ...

Normalization rules:

  • currency is always AUD unless the page clearly shows otherwise
  • convert price strings like A$169 to numeric 169
  • preserve the site's size labels, for example 0 (AU 4)
  • if the product name is split across lines, join it into one string

5. Merge and Return Structured Output

Return one product object with:

  • canonical product name
  • product slug
  • currency
  • all_colors as the union of observed variant colors
  • variants as an array of per-URL observations
  • confidence
  • field_sources
  • coverage
  • sources

Use this JSON shape by default:

{
  "query": "define jacket nulu",
  "product_name": "Define Jacket Nulu",
  "product_slug": "define-jacket-nulu",
  "currency": "AUD",
  "all_colors": ["Black", "Espresso"],
  "variants": [
    {
      "url": "https://www.lululemon.com.au/en-au/p/define-jacket-nulu/154826268.html",
      "color": "Black",
      "price": {
        "current": 169,
        "original": 169,
        "sale": false
      },
      "sizes": ["0 (AU 4)", "2 (AU 6)", "4 (AU 8)"],
      "field_sources": {
        "color": "product_page",
        "price.current": "product_page",
        "sizes": "product_page"
      }
    }
  ],
  "confidence": "medium",
  "coverage": {
    "variant_count_observed": 1,
    "all_colors_complete": false,
    "sizes_complete": true
  },
  "sources": [
    "https://www.lululemon.com.au/en-au/p/define-jacket-nulu/154826268.html"
  ]
}

Anti-Bot Policy

Default order of attack:

  1. Use web search to discover product URLs.
  2. Open product detail pages and extract visible structured text.
  3. Merge multiple variant URLs for the same slug.
  4. If product pages are blocked, fall back to official-site search snippets and related official pages.
  5. If the environment supports a real browser session, prefer session reuse over a fresh automated browser.
  6. Only then ask the user for a direct product URL, page HTML, or screenshots.

Avoid these as the primary path:

  • raw curl or requests against the homepage or product pages
  • fresh headless browser sessions with default automation fingerprints
  • onsite search pages using ?q= or ?search=

If a user explicitly wants a scriptable crawler, explain that the stable default is not a raw HTTP scraper. It is a discovery-and-extraction workflow built around search indexing plus product detail pages, with optional browser-state reuse only when the environment supports a real user session.

If you have to answer from fallbacks, downgrade confidence and mark each fallback-derived field in field_sources.

Failure Handling

  • If multiple products fit the description, return the top matches and note why the match is ambiguous.
  • If only one variant page is accessible, say that all_colors may be incomplete.
  • If a page exposes images but not machine-readable color names, do not infer names from pixels.
  • If the page is blocked, say so plainly and keep working through the fallback ladder.
  • If all official pages are blocked but official search snippets are available, return a partial answer instead of a hard failure.
  • If the answer is partial, say exactly which fields were verified from product pages and which came from snippets or sibling variants.

When To Return Partial Results

Return partial structured output when at least one of these is known from official sources:

  • an official product URL
  • a reliable product name match
  • at least one of color, sizes, or current price

For partial output:

  • keep unknown fields as null or empty arrays
  • set confidence to low or medium
  • set coverage.all_colors_complete to false unless multiple live variants were verified
  • include a short note describing the blocking point

适合场景

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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

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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

展示可复制的安装命令

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。

平台分布

OpenClaw

77.17%
按下载量换算1,291

安全审计

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通过

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权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

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