Token导航 LogoToken导航TokenDH.com
研究检索需要联网clawhub未标认证来源可访问clear审计通过

john-deere约翰迪尔

Agent Skill

john-deere 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,724

周安装

117

GitHub Stars

公开资料未说明

下载量

955
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:john-deere(约翰迪尔)
来源仓库:https://github.com/hanxueyuan/john-deere
安装命令:
openclaw skills install john-deere
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install john-deere

简介

约翰迪尔技能提供该公司历史、产品、精准农业技术及商业模式详细信息。

  • 适合研究农业机械、农业科技或企业战略相关课题。
  • 输出内容包括创新案例和行业影响力分析。john-deere 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 数据来源为公开资料,建议交叉验证时效性。
  • 可用于教育、报告撰写或投资参考等场景。

SKILL.md

trigger
always_on

John Deere

Summary

An American manufacturer of agricultural, construction, and forestry equipment founded in 1837, known for its iconic green-and-yellow color scheme and the self-cleaning steel plow that transformed American farming.

Read When

  • Researching agricultural technology and precision farming
  • Analyzing the "right to repair" movement and its impact on equipment manufacturers
  • Studying autonomous vehicle deployment in non-automotive industries
  • Examining American industrial history and the Midwest economy

历史时间线

  • 1837: John Deere, an Illinois blacksmith, invents the first commercially successful self-scouring steel plow
  • 1868: Deere & Company is incorporated with $100,000 in capital
  • 1918: Acquires Waterloo Gasoline Engine Company, entering tractor manufacturing
  • 1937: Introduces the iconic green-and-yellow color scheme that remains today
  • 1956: Opens first international manufacturing plant in Germany
  • 1994: Launches GPS-guided precision farming technology, pioneering agricultural automation
  • 2017: Acquires Blue River Technology for $305 million, bringing computer vision and machine learning to crop management
  • 2022: Launches fully autonomous 8R tractor capable of operating without a driver in the cab
  • 2024: Revenue reaches approximately $52 billion, driven by record agricultural commodity prices and equipment demand

商业模式

John Deere generates revenue through equipment sales (tractors, combines, sprayers), aftermarket parts and services (~35% of revenue), and increasingly through precision agriculture software subscriptions. The company's business model has evolved from selling machinery to selling farming-as-a-service: Deere's precision ag platform (Operations Center) collects field data from sensors, GPS guidance systems, and AI-powered computer vision, creating a data moat where the more a farmer uses Deere equipment, the more valuable the accumulated data becomes. The shift toward subscription-based software (Deere's "See & Spray" technology, autonomous tractor capabilities) creates recurring revenue streams that complement cyclical equipment sales. Financial services through John Deere Financial provide equipment loans and leases to farmers, capturing margin across the entire value chain.

护城河分析

John Deere's moat is multi-layered. Physically, its dealer network of over 1,800 locations across North America provides service coverage that no competitor matches — a farmer in rural Iowa can get a replacement part within hours, not days. Technologically, the precision agriculture data accumulated across millions of acres of farmland creates an AI advantage: Deere's computer vision models for weed detection and crop health have been trained on more field data than any competitor. The right-to-repair controversy highlights another dimension: Deere's proprietary diagnostic software and parts ecosystem effectively lock farmers into authorized dealers, though regulatory pressure is gradually forcing changes. Brand loyalty in agriculture is generational — many farming families have used Deere equipment for three or four generations, making switching decisions emotional as well as economic.

关键数据

  • Annual revenue approximately $52 billion (FY2024)
  • Over 1,800 independent dealers in North America
  • Precision agriculture technology deployed on over 350 million acres globally
  • John Deere Financial manages a loan portfolio exceeding $50 billion
  • Market cap approximately $110 billion (2024)
  • Employs approximately 82,000 people worldwide

有趣事实

  • The original 1837 steel plow was forged from a broken saw blade — John Deere noticed that the polished steel surface shed the sticky Illinois prairie soil that clogged cast-iron plows, and the concept was born from a blacksmith's observation.
  • John Deere's green-and-yellow color scheme has remained unchanged since 1937, making it one of the most enduring brand identities in industrial history — the colors are so iconic that Deere successfully sued competitors for using similar shade combinations.
  • In 2022, Deere demonstrated a fully autonomous tractor that can plow a field without anyone in the cab, using GPS, computer vision, and AI to navigate and detect obstacles — making John Deere one of the first companies to deploy Level 4 autonomous vehicles commercially, predating most self-driving car companies.
  • The "right to repair" movement gained national attention largely due to John Deere's firmware restrictions that prevented farmers from performing their own equipment maintenance — a controversy that led to a 2023 memorandum of understanding with the American Farm Bureau Federation.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.98%
按下载量换算869

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills