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Godiva Chocolatier

Name: Godiva Chocolatier
Author: hanxueyuan

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ Security Clean

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Install in OpenClaw

/install godiva-chocolatier

Description

分析Godiva巧克力品牌的全球扩展、所有权变更及高端零售策略，聚焦成长驱动与市场竞争力。

README (SKILL.md)

Godiva Chocolatier：11世纪传说如何变成一个10亿美元的巧克力品牌

Godiva的名字来自11世纪的戈黛娃夫人——她裸体骑马穿过考文垂争取减税。1926年比利时巧克力师Joseph Draps用这个名字创立了品牌。

它做什么？ 'affordable luxury'定位。全球600+精品店（金色装潢+巧克力香氛+免费试吃）。节日礼品贡献约40%年收入。均价是普通巧克力的5-8倍。

怎么走到今天的？

1926年：Joseph Draps在布鲁塞尔创立
1966年：获比利时王室御用认证
1967年：首家美国门店
2019年：股权出售给土耳其BIM创始人家族

护城河在哪？ '比利时巧克力'原产地认证保护。百年品牌+皇家背书。精品店感官体验形成进店转化壁垒。

关键指标 全球600+门店 | 覆盖80+国家 | 年营收约10亿美元 | 中国和日本增长最快

每颗Godiva松露巧克力仍需手工包金——不是效率最优，却是品牌溢价的视觉支撑。

Usage Guidance

This skill is an instruction-only, static summary about the Godiva brand and does not request access to your system or secrets — that makes it low-risk from a security standpoint. However, its source is unknown and the SKILL.md makes several factual claims (store counts, revenue, ownership dates, production details) without citations. Before using its numbers or making decisions based on this analysis, verify key facts against primary sources (company reports, reputable news, trade filings). If you plan to surface this content to end users or use it in a report, ask the agent to cite sources or corroborate the claims with up-to-date references.

Capability Analysis

Type: OpenClaw Skill Name: godiva-chocolatier Version: 1.0.0 The skill bundle contains purely informational content regarding the business history and strategy of Godiva Chocolatier. There is no executable code, network activity, or prompt injection attempts across the SKILL.md or _meta.json files.

Capability Assessment

✓ Purpose & Capability

Name and description are aligned with the actual content: the SKILL.md is a short brand/strategy analysis. The skill requests no binaries, environment variables, or installs, which is appropriate for a read-only analytic card.

ℹ Instruction Scope

SKILL.md contains static guidance and trigger conditions ('read_when') and presents factual claims and metrics. It does not instruct the agent to read files, access credentials, call external endpoints, or exfiltrate data. Note: the file asserts metrics and operational details without citations, so the main risk is misinformation rather than a security action.

✓ Install Mechanism

No install specification and no code files — lowest-risk posture (instruction-only).

✓ Credentials

Requires no environment variables, credentials, or config paths; nothing disproportionate to the skill's stated purpose.

✓ Persistence & Privilege

always is false and model invocation is allowed (platform default). The skill does not request persistent system presence or elevated privileges.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install godiva-chocolatier
After installation, invoke the skill by name or use /godiva-chocolatier
Provide required inputs per the skill's parameter spec and get structured output

Version History

v1.0.0

Godiva Chocolatier skill v1.0.0 changelog: - Initial release with an overview of Godiva的品牌故事、业务模式和成长历程 - 提供关于全球化、历史变迁和高端零售战略的精要解读 - 总结品牌护城河、关键业绩指标与市场竞争策略 - 面向关注巧克力行业动态、品牌管理或市场分析的用户

Metadata

Slug godiva-chocolatier

Version 1.0.0

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 1

Frequently Asked Questions

What is Godiva Chocolatier?

分析Godiva巧克力品牌的全球扩展、所有权变更及高端零售策略，聚焦成长驱动与市场竞争力。 It is an AI Agent Skill for Claude Code / OpenClaw, with 76 downloads so far.

How do I install Godiva Chocolatier?

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

Is Godiva Chocolatier free?

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

Which platforms does Godiva Chocolatier support?

Godiva Chocolatier is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Godiva Chocolatier?

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

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