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Li Auto
作者
hanxueyuan
· GitHub ↗
· v0.1.3
· MIT-0
178
总下载
0
收藏
1
当前安装
4
版本数
在 OpenClaw 中安装
/install li-auto
功能描述
Information assistant for 理想 Li Auto. Search products, news, financials, and official resources for 理想 Li Auto.
使用说明 (SKILL.md)
理想汽车 · Li Auto
发展历程
| 时期 | 关键事件 |
|---|---|
| 2015 年 | 李想创立车和家（后改名理想汽车） |
| 2019 年 | 理想 ONE 发布——增程式电动 SUV |
| 2020 年 | 纳斯达克上市 |
| 2023 年 | 年交付量突破 37 万辆——新势力第一 |
| 2024 年 | 推出纯电车型 MEGA——引发争议但关注度高 |
核心特点
增程式电动 SUV（L7/L8/L9）+ 纯电（MEGA）+ 智能驾驶
核心优势
增程式电动解决续航焦虑 + 精准定位家庭用户（'奶爸车'）
关键数据
| 指标 | 数值 |
|---|---|
| 年交付 | 超过 37 万辆 |
| 年营收 | 约 1200 亿元人民币 |
| 员工数 | 约 20000 人 |
值得了解
理想 ONE 连续 30 个月成为中国 SUV 销量冠军——是唯一一款国产 SUV 能做到这一点
安全使用建议
This skill appears coherent and low-risk: it only supplies a static Li Auto summary and asks for no secrets or installs. Notes before installing: the source and homepage are unknown (content may be unverified or out of date), so do not rely on it for authoritative or real-time financial data; if you need live or official data, prefer a skill that explicitly integrates with official APIs or cites sources. It's safe to enable for casual informational use, but avoid granting any additional credentials or elevated permissions to it.
功能分析
Type: OpenClaw Skill
Name: li-auto
Version: 0.1.3
The skill bundle contains purely informational content regarding Li Auto (a Chinese EV manufacturer), including its history, core features, and key performance data. There is no executable code, network activity, or malicious instructions present in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The name/description (Li Auto information assistant) matches the SKILL.md content: a static summary and facts about 理想汽车. The skill declares no unrelated requirements.
Instruction Scope
SKILL.md contains only static content and trigger hints (read_when). It does not instruct the agent to read arbitrary files, access environment variables, call external endpoints, or collect unrelated data.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written to disk by the skill itself.
Credentials
The skill requires no environment variables, credentials, or config paths; requested access is minimal and proportional to a read-only info card.
Persistence & Privilege
always is false and the skill does not request any elevated or persistent system presence or modifications to other skills. Autonomous invocation is the platform default and not a special privilege here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install li-auto - 安装完成后，直接呼叫该 Skill 的名称或使用
/li-auto触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.3
- 更新并扩展为“理想汽车 Li Auto”品牌专属技能卡片，内容更详实具体
- 新增品牌发展历程时间线，涵盖成立、产品发布、上市及重要里程碑
- 明确核心产品线：增程式电动SUV与纯电车型
- 补充年交付量、年营收、员工数等重要数据
- 收录理想 ONE 连续销量冠军等品牌成就
- 移除老版本简单结构，内容更专业更贴合用户查询需求
v0.1.2
- Initial release of li-auto skill documentation.
- Added SKILL.md with key facts, usage tips, and summary for li-auto.
- Provides a quick overview and guidance for business or academic use.
v0.1.1
- Simplified the skill documentation to a concise "knowledge card" format for li-auto.
- Provided a quick one-line summary and a table of key facts.
- Added clear usage tips for fast reference, business decision research, and academic support.
- Recommended consulting official sources and industry reports for further information.
v0.1.0
- Initial release of li-auto information assistant (v0.1.0)
- Provides search for Li Auto products, news, financial reports, and official resources
- Includes competitor comparison feature
- Prioritizes official and authoritative information sources
- Offers clear usage examples and instructions for retrieving Li Auto information
元数据
常见问题
Li Auto 是什么？
Information assistant for 理想 Li Auto. Search products, news, financials, and official resources for 理想 Li Auto. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 178 次。
如何安装 Li Auto？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install li-auto」即可一键安装，无需额外配置。
Li Auto 是免费的吗？
是的，Li Auto 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Li Auto 支持哪些平台？
Li Auto 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Li Auto？
由 hanxueyuan（@hanxueyuan）开发并维护，当前版本 v0.1.3。
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