Token导航 LogoToken导航

Agent Skill · 研究检索

lululemon-au-product-finder(lululemon au 产品搜索器)

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。

lululemon-au-product-finder 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;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 21,705。

总安装 4,775周安装 203GitHub Stars 公开资料未说明下载 1,673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
0.1.0

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: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

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。

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。

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 lululemon-au-product-finder;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

    它需要操作浏览器,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

lululemon-au-product-finder 怎么安装?

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

lululemon-au-product-finder 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。

lululemon-au-product-finder 需要什么权限?

权限级别是操作浏览器。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。

lululemon-au-product-finder 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。

lululemon-au-product-finder 用的人多吗?

公开数据是累计安装 4,775 次,近一周安装 203 次,下载 1,673 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。

lululemon-au-product-finder 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
lululemon-au-product-finder

lululemon au 产品搜索器 · 本页

4,775—操作浏览器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
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

平台分布

OpenClaw

77.17%
按下载量换算1,291

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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

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。

继续浏览同类 Skills