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Koenigsegg Automotive
by
hanxueyuan
· GitHub ↗
· v1.0.0
· MIT-0
56
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Install in OpenClaw
/install koenigsegg-automotive
Description
提供Koenigsegg超跑品牌历史、无凸轮轴发动机技术、商业模式及技术创新分析与行业竞争评估。
README (SKILL.md)
Koenigsegg Automotive
历史时间线
- 1994年 — Christian von Koenigsegg创立公司（22岁）
- 2002年 — CC8S在巴黎车展亮相
- 2006年 — CCX打破多项速度纪录
- 2010年 — Agera发布
- 2019年 — Jesko发布，1,600马力
- 2020年 — Gemera发布，首款四座超跑
- 2023年 — 与NEVS合作，产能提升至每年约100台
商业模式
手工制造超跑，年产量约50-100台。核心产品：Jesko（赛道版）、Gemera（四座混动超跑）。核心技术包括无凸轮轴发动机（Freevalve）、Autoskin自动车门系统。
护城河分析
Freevalve无凸轮轴技术（可减少30%油耗，提升30%功率）；极致工程创新文化（每辆车都是技术验证平台）；品牌收藏价值（二手车持续升值）；创始人工程天才的个人品牌。
关键数据
Jesko功率1,600马力（E85燃油）；Gemera三电机混动1,700马力；员工约150人；年产能目标100台
有趣事实
- Christian von Koenigsegg创立公司时仅22岁，灵感来自一部挪威木偶动画。
- Koenigsegg工厂只有约50名工程师，但创造了多项世界纪录。
Usage Guidance
This skill appears safe and coherent: it only provides written guidance about Koenigsegg and asks for no credentials or installs. Before relying on it for business or technical decisions, verify factual claims (power figures, production numbers, partnerships) against primary sources because SKILL.md provides no citations. If you need the agent to operate on private data or external services, note this skill does not request any such access; you would need a different skill that explicitly declares the necessary credentials. Finally, because model invocation is enabled by default, expect the agent to call the skill when relevant — that behavior is normal and not a security concern here.
Capability Analysis
Type: OpenClaw Skill
Name: koenigsegg-automotive
Version: 1.0.0
The skill bundle contains purely informational content regarding Koenigsegg Automotive, including its history, business model, and technical innovations. There is no executable code, network activity, or suspicious instructions in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description (Koenigsegg history, Freevalve technology, business/competition analysis) matches the SKILL.md content. The skill does not declare or request unrelated binaries, env vars, or config paths.
Instruction Scope
SKILL.md is a self‑contained informational document with read_when triggers and structured content (timeline, business model, tech analysis). It does not instruct reading system files, environment variables, or contacting external endpoints, nor does it grant broad discretion to exfiltrate data.
Install Mechanism
No install specification and no code files are present — lowest risk. The skill is instruction-only and will not write files or download code during installation.
Credentials
No environment variables, credentials, or config paths are required. There are no disproportionate or unexplained requests for secrets or system access.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or modify other skills or agent-wide settings. Model invocation is allowed (default), which is normal for skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install koenigsegg-automotive - After installation, invoke the skill by name or use
/koenigsegg-automotive - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首次发布，提供Koenigsegg公司背景、历史大事记及关键数据。
- 详细介绍无凸轮轴发动机（Freevalve）和核心创新技术。
- 覆盖商业模式、品牌护城河、及与NEVS合作提升产能的最新进展。
- 增加有趣事实，突出创始人故事和工程团队成就。
Metadata
Frequently Asked Questions
What is Koenigsegg Automotive?
提供Koenigsegg超跑品牌历史、无凸轮轴发动机技术、商业模式及技术创新分析与行业竞争评估。 It is an AI Agent Skill for Claude Code / OpenClaw, with 56 downloads so far.
How do I install Koenigsegg Automotive?
Run "/install koenigsegg-automotive" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Koenigsegg Automotive free?
Yes, Koenigsegg Automotive is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Koenigsegg Automotive support?
Koenigsegg Automotive is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Koenigsegg Automotive?
It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.
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