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hanxueyuan

Kellogg

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install kellogg
Description
全球领先的早餐谷物和零食公司,2024年拆分后Kellanova营收约95亿美元,拥有Pringles和Cheez-It等品牌。
README (SKILL.md)

家乐氏 · Kellanova (原 Kellogg)

"The health of the nation is the wealth of the nation."

Kellogg Company 是全球最大的早餐谷物和方便食品公司之一,拥有 Corn Flakes、Frosted Flakes、Pringles、Cheez-It 等知名品牌。2023 年公司拆分为两家独立公司:Kellanova(国际零食和谷物)和 WK Kellogg Co(北美谷物)。Kellanova 拥有 Pringles、Cheez-It 等全球性品牌,营收约 95 亿美元。


历史时间线

时期 关键事件
1906 Will Keith Kellogg 在密歇根州创立 Battle Creek Toasted Corn Flake Company
1907 推出 Corn Flakes 早餐麦片
1922 推出 All-Bran 高纤维麦片
1930 推出 Rice Krispies 米脆麦片
1950s Frosted Flakes(Tony the Tiger)成为全球畅销产品
1970s 收购 Eggo 华夫饼品牌
2012 收购 Pringles 品客薯片(约 27 亿美元)
2019 收购 RXBAR 健康食品品牌
2023 宣布拆分为两家独立公司
2023 完成拆分,Kellanova 和 WK Kellogg Co 独立运营
2024 Kellanova 营收约 95 亿美元
2024 Pringles 全球销量超过 40 亿罐

业务结构分析

国际谷物

Corn Flakes、Frosted Flakes 等经典早餐麦片品牌

零食业务

Pringles 品客薯片是全球最大薯片品牌之一

烘焙食品

Cheez-It 芝士饼干、Rice Krispies Treats 等

健康食品

RXBAR、MorningStar Farms 植物蛋白食品


🔑 核心护城河

    +----------------+
    |  Iconic      |
    |  Brands      |
    +-------+--------+
            |
            v
    +-------+--------+
    |  Global      |
    |  Distribution|
    +-------+--------+
            |
            v
    +-------+--------+
    |  Scale       |
    |  Manufacturing|
    +-------+--------+
            |
            v
    +-------+--------+     +----------+
    |  Brand       |---->|  Revenue |
    |  Loyalty     |     |  Growth  |
    +----------------+     +----------+
    Brand Portfolio + Global Scale
  1. Pringles 是全球最大薯片品牌,年销量超过 40 亿罐
  2. Cheez-It 是美国最畅销的芝士饼干品牌,年销售额超过 10 亿美元
  3. 全球分销网络覆盖超过 180 个国家
  4. 100+ 年积累的品牌资产和消费者认知度形成强大壁垒

关键数据

指标 数值
2024 年营收 约 95 亿美元
Pringles 年销量 超过 40 亿罐
全球品牌数 超过 30 个
运营国家 超过 180 个
全球员工 约 21,000 人(Kellanova)
Cheez-It 年销售 超过 10 亿美元
研发投入 约 3 亿美元/年
市值 约 250 亿美元(Kellanova)
毛利率 约 35%
营业利润率 约 17%
股息收益率 约 3%
拆分时间 2023 年 10 月

值得了解

  • Corn Flakes 的发明源于 Will Kellogg 和兄弟 John Harvey Kellogg 的意外发现

  • Tony the Tiger(老虎托尼)是 Kellogg 最成功的品牌吉祥物之一,始于 1952 年

  • Pringles 的独特薯片形状和包装是其标志性特征,每罐约 90 片

  • Kellogg 的 Rice Krispies 麦片会发出 "Snap, Crackle, Pop" 的声音

  • 2012 年收购 Pringles 是 Kellogg 历史上最大的收购之一,花费约 27 亿美元

  • RXBAR 以"只有真正食物成分"为卖点,不含人工添加剂

  • MorningStar Farms 是美国最大的植物肉品牌之一

  • 2023 年的拆分是为了让北美谷物和国际零食业务各自独立发展

  • Pringles 在全球有超过 30 种口味

  • Cheez-It 的饼干数量超过 800 亿片/年

Usage Guidance
This skill appears safe from a security perspective: it only contains static company information and asks for nothing sensitive. Before relying on it for decisions (especially financial/investment decisions), verify the numeric claims (revenue, sales volumes, margins, market cap, split date) against primary sources such as SEC filings, company press releases, or recent financial statements. If you plan to use the skill in automated workflows, remember it can be invoked by the agent (platform default) but it does not request credentials or install code.
Capability Analysis
Type: OpenClaw Skill Name: kellogg Version: 1.0.0 The skill bundle contains purely informational content regarding the Kellogg Company (Kellanova). There is no executable code, no network activity, and no instructions that could be interpreted as prompt injection or malicious behavior in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description (company profile) matches the SKILL.md content: the skill is an informational/summary document about Kellogg/Kellanova and does not declare unrelated capabilities or require unrelated resources.
Instruction Scope
SKILL.md contains only company history, metrics, and analysis guidance and the declared read_when triggers (e.g., '查询 kellogg 公司信息', '准备投资分析') are consistent with that purpose. However, the file embeds many specific financial and sales figures without citations — these are content-quality issues (accuracy/outdated data) rather than security concerns.
Install Mechanism
No install spec and no code files (instruction-only). Nothing will be written to disk or executed by an installer as part of installing this skill.
Credentials
The skill requests no environment variables, no credentials, and no config paths. There is no apparent need for any secrets or system access to fulfil the stated purpose.
Persistence & Privilege
always is false and the skill does not request elevated persistence or system-wide configuration changes. It may be autonomously invocable (platform default), but that is normal and not combined with other red flags.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install kellogg
  3. After installation, invoke the skill by name or use /kellogg
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Kellogg Skill v1.0.0 – 全面介绍 Kellogg/Kellanova - 新增公司历史、品牌、业务、护城河、数据等全方位内容 - 覆盖 2023 年拆分后 Kellanova 最新架构与业绩 - 详细展示 Pringles、Cheez-It、RXBAR、MorningStar Farms 等关键品牌信息 - 提供行业地位、市场分布、研发投入、财务指标等数据 - 增加常见问题及品牌冷知识,便于投资与行业分析
Metadata
Slug kellogg
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Kellogg?

全球领先的早餐谷物和零食公司,2024年拆分后Kellanova营收约95亿美元,拥有Pringles和Cheez-It等品牌。 It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.

How do I install Kellogg?

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

Is Kellogg free?

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

Which platforms does Kellogg support?

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

Who created Kellogg?

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

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