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Fendi
by
hanxueyuan
· GitHub ↗
· v1.0.0
· MIT-0
68
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install fendi
Description
提供关于意大利奢侈品牌芬迪的历史、产品及标志性手袋Baguette的信息和行业动态。
README (SKILL.md)
芬迪 · Fendi
发展历程
| 时期 | 关键事件 |
|---|---|
| 1925 年 | Adele 和 Edoardo Fendi 在罗马创立皮草店 |
| 1965 年 | Karl Lagerfeld 加入——设计了著名的双 F 标志 |
| 2001 年 | LVMH 收购 51% 股权（2020 年增持至 100%） |
| 2020s | Baguette 手袋回归——2000 年代因 Sex and the City 爆红 |
核心特点
皮具 + 成衣 + 皮草 + 鞋履 + 配饰
核心优势
Baguette 手袋是第一个'it bag'——因 Sex and the City 风靡全球
关键数据
| 指标 | 数值 |
|---|---|
| 母公司 | LVMH |
| 门店数 | 约 200 家 |
值得了解
Baguette 手袋在《欲望都市》中被 Carrie Bradshaw 抢走时说'it's a baguette!'成为经典台词
Usage Guidance
This appears to be a low-risk, static informational skill about Fendi. It asks for no secrets or installs, so it's safe from a credentials/exfiltration perspective. Note the source/homepage is unknown and the content is static — it may be out of date or incomplete. If you need real-time industry news or verified sourcing, prefer a skill that cites reputable sources or uses an authenticated news/API integration. Otherwise this skill is fine for basic brand reference.
Capability Analysis
Type: OpenClaw Skill
Name: fendi
Version: 1.0.0
The skill bundle contains purely informational content regarding the luxury brand Fendi, including its history, key products, and corporate milestones. There is no executable code, network activity, or suspicious instructions within SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name and description match the SKILL.md content (brand history, products, Baguette bag). The skill requests no environment variables, binaries, or installs that would be unrelated to a simple informational reference.
Instruction Scope
SKILL.md contains static informational content and a small 'read_when' trigger for Fendi-related queries. It does not instruct the agent to read system files, access environment variables, call external endpoints, or perform unrelated actions.
Install Mechanism
No install specification and no code files — this is an instruction-only skill. That lowest-risk model means nothing is written to disk or fetched at install time.
Credentials
The skill declares no required environment variables, credentials, or config paths — nothing disproportionate to an informational skill.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence, nor does it indicate modifying other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install fendi - After installation, invoke the skill by name or use
/fendi - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 初始版本：介绍了芬迪 Fendi 的品牌历史、核心优势和重要事件。
- 概括了从1925年创立到2020年代Baguette手袋回归的发展历程。
- 突出Baguette手袋与《欲望都市》的经典关联。
- 总结了主要产品线、母公司及门店数等核心信息。
Metadata
Frequently Asked Questions
What is Fendi?
提供关于意大利奢侈品牌芬迪的历史、产品及标志性手袋Baguette的信息和行业动态。 It is an AI Agent Skill for Claude Code / OpenClaw, with 68 downloads so far.
How do I install Fendi?
Run "/install fendi" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Fendi free?
Yes, Fendi is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Fendi support?
Fendi is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Fendi?
It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.
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