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Install in OpenClaw
/install auto-llm-4840
Description
Provides a comprehensive 2026 Bilibili tutorial on building AI Agent models from basics to practice, enabling quick and effective large model development.
README (SKILL.md)
Skill: auto_llm_4840\r
\r
【2026最新】B站最全最细的AI Agent智能体搭建教程，从入门到实战！手把手教你快速打造自己的专属智能体，一次性搞懂AI大模型智能体开发，学完薪资翻倍！\r
\r
功能范围\r
- 【2026最新】B站最全最细的AI Agent智能体搭建教程，从入门到实战！手把手教你快速打造自己的专属智能体，一次性搞懂AI大模型智能体开发，学完薪资翻倍！\r
- Auto-generated from B站: BV11NNAz5EKn\r \r
归属管理\r
- 归属核心:
learn-expand\r - 源文件:
auto_llm_4840.py\r \r
触发场景\r
- 用户说"llm/agent"\r
- 用户说"【2026最新】B站最全最细的AI Agent智能体搭建教程，从入门到实战！手把"\r \r Base directory: file:///C:\Users\pc.config\opencode\skills\auto_llm_4840\r \r
B站学习\r
学习时间: 2026-06-01 21:01\r \r
- 虚怀绝对不看JOJO: 听b快，4840走uusm\r
- Roki-2004: 乐高 哈利波特 4840 陋居 速组评测\r
- 上海黛纳科: 贺德克HDA 4840-A-400-424 6M压力传感器德国HYDAC压力开关\r \r
B站学习 (第1轮)\r
学习时间: 2026-06-02 09:20\r \r
- 虚怀绝对不看JOJO: 听b快，4840走uusm\r https://www.bilibili.com/video/BV1wRXtYsEUy\r
- 上海黛纳科: 贺德克HDA 4840-A-400-424 6M压力传感器德国HYDAC压力开关\r https://www.bilibili.com/video/BV1TwFKzjEDv\r
- Roki-2004: 乐高 哈利波特 4840 陋居 速组评测\r https://www.bilibili.com/video/BV1AA41187tY\r \r
B站学习 (第2轮)\r
学习时间: 2026-06-02 09:33\r \r
- 虚怀绝对不看JOJO: 听b快，4840走uusm\r https://www.bilibili.com/video/BV1wRXtYsEUy\r
- 上海黛纳科: 贺德克HDA 4840-A-400-424 6M压力传感器德国HYDAC压力开关\r https://www.bilibili.com/video/BV1TwFKzjEDv\r
- Roki-2004: 乐高 哈利波特 4840 陋居 速组评测\r https://www.bilibili.com/video/BV1AA41187tY\r
Usage Guidance
Install only if you are comfortable with a skill that depends on a local Windows KnowledgeBase module and may save the text passed to it locally. Consider narrowing or disabling the "llm/agent" trigger if you often discuss LLMs or agents generally.
Capability Assessment
Purpose & Capability
The advertised AI Agent tutorial/archive purpose broadly matches the code storing one Bilibili-sourced concept, though the markdown includes some unrelated Bilibili learning entries and the persistence behavior is clearer in code than in the skill text.
Instruction Scope
The trigger phrase "llm/agent" is too broad for a specific tutorial and could activate during ordinary LLM or agent discussions, but the observed action is limited to a local knowledge-base write.
Install Mechanism
There is no packaged installer, dependency download, or shell setup, but the Python file prepends a hard-coded Windows path and imports a local learn.KnowledgeBase module that is not included in the artifact.
Credentials
The artifacts do not show network calls, credential/session/profile access, shell execution, destructive file operations, or broad local indexing; data flow is limited to the fixed Bilibili source and the invocation parameter.
Persistence & Privilege
The run function persists the provided parameter or default tutorial text via KnowledgeBase.store_concept; this is purpose-aligned with a learn/archive skill but should be understood before use.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-llm-4840 - After installation, invoke the skill by name or use
/auto-llm-4840 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
auto-llm-4840 v1.0.0
- 初始发布：提供2026年最新B站AI Agent智能体搭建超全详细教程，涵盖从入门到实战。
- 集成多个B站学习资源与实战案例，便于深入理解AI大模型与智能体开发。
- 支持通过关键词如"llm/agent"或教程标题快速触发技能。
- 自动归档并管理教程与相关内容，方便后续学习跟进。
Metadata
Frequently Asked Questions
What is Auto Llm 4840?
Provides a comprehensive 2026 Bilibili tutorial on building AI Agent models from basics to practice, enabling quick and effective large model development. It is an AI Agent Skill for Claude Code / OpenClaw, with 40 downloads so far.
How do I install Auto Llm 4840?
Run "/install auto-llm-4840" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Llm 4840 free?
Yes, Auto Llm 4840 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Auto Llm 4840 support?
Auto Llm 4840 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Llm 4840?
It is built and maintained by 534422530 (@534422530); the current version is v1.0.0.
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