← Back to Skills Marketplace
hanxueyuan

Home Depot

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
107
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install home-depot
Description
全球最大北美家居建材零售商，聚焦DIY和专业承包商，拥有2300+门店及强大供应链与线上平台。
README (SKILL.md)

家得宝 · The Home Depot

你可以做到，我们帮你。—— You Can Do It. We Can Help.

The Home Depot 是全球最大的家居建材零售商，在北美（美国、加拿大、墨西哥）经营超过2300家大型仓储式门店。公司服务于两大客户群体：DIY家庭消费者和专业承包商（Pro Customers）。2023财年营收超过1500亿美元，是全球最大的家装零售企业。近年来大力投资数字化和供应链基础设施，巩固其行业领导地位。

历史时间线

时期 关键事件
1978年 伯尼·马库斯和亚瑟·布兰克在亚特兰大开设前两家Home Depot门店
1981年 公司上市，门店扩张至5家
1989年 营收突破50亿美元，成为全美最大家居建材零售商
1994年 进入加拿大市场，开始国际扩张
2001年 收购Hughes Supply，强化专业承包商业务
2007年 营收突破800亿美元，达到阶段性峰值
2014年 推出"One Home Depot"战略，整合线上线下体验
2016年 收购Interline Brands（后更名为HD Supply），补充MRO产品线
2020年 疫情期间DIY需求爆发，营收创历史新高
2022年 宣布10年17亿美元投资供应链和配送网络升级

业务结构分析

DIY零售（Consumer）

面向家庭消费者的建材、工具、园艺和家装产品零售，是Home Depot的核心业务。门店平均面积约10万平方英尺，每个门店SKU约4万种。

专业承包商（Pro）

面向建筑商、承包商和装修专业人士的销售，贡献约45%的总营收。提供批量定价、信用额度和专属服务，是增长最快的板块。

在线与数字商务

Home Depot在线平台是全美最大的家居建材电商，支持线上下单门店提货（BOPIS），2023年线上销售占比约16%，约230亿美元。

批发与MRO供应

通过HD Supply面向设施管理和工业客户提供MRO（维护、维修和运营）产品，服务超过100万个商业客户账户。

🔑 核心护城河

  大店模式 → 一站式选购 → 高客流量
       ↓                      ↗
  专业客户网络 → 大额采购 → 规模采购优势
       ↓
  供应链投资 → 履约效率 → 成本领先
  1. 大店规模壁垒：单店平均10万平方英尺，需要大量资本投入和选址资源，新竞争者难以快速复制这种实体网络
  2. 专业客户锁定：约45%营收来自专业承包商，这类客户转换成本高（依赖批量定价、信用账期、库存深度），形成稳定收入基础
  3. 供应链基础设施：数十亿美元投资配送中心和快速配送网络（Flatbed、Store Delivery），在建材物流效率上建立显著优势
  4. 品牌认知度：Home Depot在北美家装零售领域拥有极高的品牌认知，"要去装修，先去Home Depot"已成为消费者心智定式

关键数据

指标 数值
集团年营收 约1527亿美元（2023财年）
北美门店数 约2330家
平均门店面积 约10万平方英尺
专业客户占比 约45%
线上销售占比 约16%
配送中心数量 约22个（MFC+传统DC）
员工总数 约47.5万人
每周客流量 约2700万人次
市值（约） 约3600亿美元（2024）

值得了解

  • Home Depot是全球最大的圣诞树零售商之一，每年圣诞季在门店外搭建的圣诞树销售棚是美国人的节日传统

  • Home Depot的橙色围裙是其品牌标志，员工被称为"橙色围裙"（Orange Apron），公司提供"橙色围裙大学"内部培训项目

  • 公司创始人伯尼·马库斯和亚瑟·布兰克被解雇后才创立Home Depot——他们之前在同一家家居建材公司工作，被解雇后决定自己创业

  • Home Depot平均每个门店储存约3万-4万个SKU，但线上目录超过100万种产品，线下只是冰山一角

Usage Guidance
This skill is informational only and doesn't ask for credentials or install anything, so it's low technical risk. However, the package lists no source or homepage — treat the content as unverified secondary material. If you will rely on this for decisions (investing, procurement), cross-check the facts against primary sources (Home Depot investor relations, SEC filings, reputable news). Because the agent can call skills autonomously by default, be mindful if you allow autonomous actions that use other skills with network access or credentials; this particular skill itself does not access external systems or secrets.
Capability Analysis
Type: OpenClaw Skill Name: home-depot Version: 1.0.0 The skill bundle is purely informational, providing a comprehensive overview of The Home Depot's business model, history, and market position. It contains no executable code, shell commands, or instructions that could lead to data exfiltration or prompt injection. The files (_meta.json and SKILL.md) are well-structured and align perfectly with the stated purpose of providing corporate research data.
Capability Assessment
✓ Purpose & Capability
Name and description are an informational/company profile. The SKILL.md contains historical, business-structure, and metric content consistent with that purpose. There are no requested binaries, env vars, or config paths that would be inconsistent with an informational skill. Note: the skill's source/homepage are unknown, so provenance and factual accuracy cannot be verified from the package itself.
✓ Instruction Scope
The SKILL.md provides static content and guidance for when to read/use the skill (e.g., queries about Home Depot, industry analysis). It does not instruct the agent to read local files, access unrelated environment variables, call external endpoints, or collect/transmit data. No vague 'gather whatever context you need' language expands scope beyond an informational role.
✓ Install Mechanism
No install specification and no code files — instruction-only. This is the lowest-risk install model; nothing is written to disk or downloaded.
✓ Credentials
The skill requests no environment variables, credentials, or config paths. There are no secrets-exfiltration risks apparent from the manifest or SKILL.md.
✓ Persistence & Privilege
always is false and there is no indication the skill modifies agent/system settings. The default ability for the agent to invoke the skill autonomously is present (platform default) but not combined with any other concerning privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install home-depot
  3. After installation, invoke the skill by name or use /home-depot
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首个版本上线，详尽介绍了Home Depot的业务、历史、行业地位及核心竞争力 - 增加多项核心类别板块：DIY零售、专业承包商、在线及批发业务 - 提供最新关键数据（2023财年营收、门店数、员工数、市值等） - 梳理公司护城河，包括大店模式、专业客户锁定和供应链优势 - 收录有趣小知识，提高应用场景的丰富性
Metadata
Slug home-depot
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Home Depot?

全球最大北美家居建材零售商，聚焦DIY和专业承包商，拥有2300+门店及强大供应链与线上平台。 It is an AI Agent Skill for Claude Code / OpenClaw, with 107 downloads so far.

How do I install Home Depot?

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

Is Home Depot free?

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

Which platforms does Home Depot support?

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

Who created Home Depot?

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

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463815 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259802 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200680 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191345 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190333 · by oswalpalash

💬 Comments