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hanxueyuan

Loro Piana

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
49
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Install in OpenClaw
/install loro-piana
Description
唯一有权交易vicuña纤维的奢侈品牌，每公斤超3000美元的"静奢"之王
README (SKILL.md)

Loro Piana：一件没有Logo却值三万美元的大衣

品牌本质：意大利顶级奢侈品牌，以世界最优质的羊绒和小骆驼绒面料闻名，是"静奢"（quiet luxury）风格的代表，2013年被LVMH收购。

安第斯山脉的小骆驼

Loro Piana是唯一有权合法交易vicuña（小骆驼）纤维的奢侈品牌。这种纤维来自安第斯山脉的野生小骆驼，曾仅供印加帝国皇室穿着。

每只小骆驼每两年只能剪一次毛，每次仅约200克。每公斤vicuña纤维的价格超过3,000美元——比黄金还贵。

这就是Loro Piana的核心故事：控制世界上最稀缺的原材料。

百年纺织世家

  • 1924：Pietro Loro Piana在意大利北部创立纺织厂
  • 1940s：开始生产顶级羊绒面料
  • 1970s：从面料供应商拓展为服装品牌
  • 1990s：成为全球顶级面料供应商
  • 2013：LVMH以约20亿欧元收购

垂直整合的秘密

Loro Piana与众不同之处在于它控制了从原材料到成品的每一个环节：

  • 在蒙古和内蒙古采购顶级山羊绒
  • 在秘鲁获取vicuña纤维的独家许可
  • 在意大利北部的自有工厂完成纺织和成衣制造

这种垂直整合使得竞争对手即便有钱也买不到同等品质的原材料。

"静奢"的崛起

在"Logo疲劳"时代，越来越多的高净值消费者开始追求"懂的人自然懂"的品质感。Loro Piana正是这种趋势的最大受益者——不需要任何明显标识，面料的触感和剪裁本身就是身份的象征。

关键数据

年营收约10-12亿欧元，全球约160家精品店，员工约2,500人。一件羊绒大衣定价15,000-30,000美元。

Usage Guidance
This skill is low-risk: it's purely informational content about Loro Piana with no code, installs, or secret access. Before installing, consider whether you trust the source (no homepage or known owner listed) and whether you need accuracy or citations for business use — the content may reflect opinion or summary rather than primary-source facts. Also be alert to future updates: if the skill later adds installs, environment variables, or outbound network behavior, re-evaluate before allowing it to run.
Capability Analysis
Type: OpenClaw Skill Name: loro-piana Version: 1.0.0 The skill bundle is purely informational, providing historical and business context regarding the luxury brand Loro Piana. It contains no executable code, scripts, or instructions that could lead to data exfiltration or unauthorized actions, and the content in SKILL.md is strictly descriptive without any prompt injection attempts.
Capability Assessment
✓ Purpose & Capability
The skill's name and description match the SKILL.md content (brand history, supply chain, 'quiet luxury' trend). There are no unexpected requirements (no binaries, env vars, or config paths).
✓ Instruction Scope
SKILL.md contains only descriptive content and a 'read_when' list explaining when the agent should consult it. It does not instruct the agent to read files, access environment variables, call external endpoints, or perform system actions.
✓ Install Mechanism
No install spec or code files are present; this instruction-only skill does not write to disk or download code.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths — appropriate for a read-only informational skill.
✓ Persistence & Privilege
always is false and the skill does not request elevated or permanent presence. Autonomous invocation is allowed by default but is reasonable for a passive reference skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install loro-piana
  3. After installation, invoke the skill by name or use /loro-piana
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首次发布 Loro Piana skill，介绍品牌及其在静奢领域的地位 - 详解唯一合法交易 vicuña 纤维的稀缺性及核心商业故事 - 梳理品牌历史沿革和LVMH收购情况 - 解析垂直整合供应链模式与面料稀缺对定价的影响 - 概述“静奢”趋势与品牌定位 - 提供关键经营数据和行业地位参考
Metadata
Slug loro-piana
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Loro Piana?

唯一有权交易vicuña纤维的奢侈品牌，每公斤超3000美元的"静奢"之王. It is an AI Agent Skill for Claude Code / OpenClaw, with 49 downloads so far.

How do I install Loro Piana?

Run "/install loro-piana" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Loro Piana free?

Yes, Loro Piana is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Loro Piana support?

Loro Piana is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Loro Piana?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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