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Obsidian x Claude Code: Creating Your Own LLM Wiki

Evolve Obsidian from a simple notepad into a personal knowledge database and build an AI assistant that understands your notes and documents using Claude Code. Create custom workflows to automate repetitive tasks and complete a knowledge system where daily work and learning compound and transform into your own unique expertise.

15 learners are taking this course

Level Basic

Course period Unlimited

Business Productivity
Business Productivity
wiki
wiki
obsidian
obsidian
claude
claude
Business Productivity
Business Productivity
wiki
wiki
obsidian
obsidian
claude
claude

What you will gain after the course

  • Designing an Obsidian-based Personal Knowledge Database and Building a Claude Code-integrated AI Assistant

  • Creating reusable workflows for automating repetitive tasks

  • Creating a 'Personal Tech Learning Pipeline' where AI collects, summarizes, and organizes tech articles of interest

Have you ever experienced this at least once?

When you keep reading books, lectures, and articles, but don't know what you've actually made your own

When you want to organize what you've studied, but the time required for organizing itself feels burdensome

Articles, papers, and meeting minutes pile up every day, but you can't find them when you actually need them

When you're exhausted from having to explain the project structure, libraries, and team conventions to ChatGPT from scratch every single time cho ChatGPT về cấu trúc dự án, thư viện và quy ước của nhóm

"Why did we choose this library three months ago?" When you can't recall the reason for the decision at all

When you encounter a similar bug for the second or third time, but find yourself debugging from scratch all over again because you can't remember how you solved it last time

When you can't remember what a colleague said or decided during the last meeting những gì đồng nghiệp đã nói hoặc những quyết định đã đưa ra trong cuộc họp lần trước

This course covers how to combine these two tools to create a system where knowledge accumulates like compound interest over time.

I also saw a noticeable change in my work productivity after introducing the LLM Wiki to my development work.

The major changes I experienced are as follows.

🔹 Articles and papers collected while working are automatically organized and integrated with my existing knowledge, allowing my knowledge to grow much faster and more efficiently.

🔹 Meeting minutes, architecture decisions, and everything happening within the team are now organized and visible at a glance.

🔹 A list of troubleshooting issues encountered during development is automatically organized, ensuring that the same mistakes are not repeated in future development.

🔹 Since Claude already knows the context when you make an inquiry, prompting has become incredibly simple. (ex. "Modify it according to what was decided in yesterday's project meeting and run the test.")


Based on this experience, I will reveal the exact methods I used to build the system I am currently operating in this lecture.

I recommend this to the following people

  • Developers: Those who need a system where technical decisions, design history, and debugging records remain as searchable assets

  • Freelancer: Those who need integrated management while simultaneously handling development, planning, and operations alone

  • Students: Those who want to ensure their studied content, reading materials, and ideas don't get scattered but are built up as their own knowledge.

  • Planner: Those who want to derive insights from collected materials such as planning research, user interviews, and competitor analysis.

✔️

By the end of this course, you will


Complete your own LLM Wiki

✅ Go beyond the limits of general chatbots and build your own AI assistant.

Through Claude Code, you can create an AI that understands the structure, rules, and workflows of your work.

A knowledge system that remains alive even after 6 months

✅ Knowledge that compounds

As time passes, you will possess knowledge that accumulates like compound interest.

Ability to design a custom Wiki tailored to my domain

✅ Personalized Custom Wiki

Based on the patterns learned in the lecture, you can directly design a wiki structure and skills tailored to your specific field, such as development, research, or planning.


📚

Build your own AI assistant,
complete your knowledge system

My Own LLM System

Section 1

Why you need your own LLM system

General-purpose chatbots like ChatGPT and Claude generate answers from scratch every time. In this section, we will examine the structural limitations of AI where context evaporates, explore why Obsidian is a suitable tool for creating 'knowledge assets,' and learn how to design the architecture of an LLM Wiki.


Section 2

Obsidian × Claude Code

We will quickly go over the essential Obsidian features necessary for operating an LLM Wiki and set up the first session by installing Claude Code. Then, we will learn the most important step: how to write a Claude.md file to declare your vault's structure, rules, and workflows to the AI.


Section 3

Knowledge System Design and Construction Practice

You will directly set up a vault structure based on a 3-Layer architecture and build an Ingest pipeline where the AI reads source materials and converts them into wiki pages. Additionally, you will enhance knowledge management efficiency by utilizing tag systems and linting rules.


Section 4

Established Knowledge Utilization Workflow

We will conduct a query practice session to create a Wiki where you can query accumulated knowledge and the LLM improves itself. We will cover practical application workflows, such as turning meeting minutes into assets and designing pages for querying organizational dynamics.


Section 5

LLM Wiki Application Cases

Based on what we have learned so far, we will explore ways to apply the LLM Wiki to various fields. We will seek possibilities for building personalized AI assistants and expanding knowledge management systems.


Notes before taking the course


Practice Environment

  • Obsidian is available on both Windows and macOS.

  • The same applies to Claude Code.

  • Basic text editing skills are required for writing code notes.

Prerequisites and Notices

  • It doesn't matter if you have no prior experience using Obsidian or Claude Code.

  • It will be easier to understand if you have experience using AI coding tools.

  • Recommended for those who understand the importance of personal knowledge management.


The lecture will be continuously updated 😃

Recommended for
these people

Who is this course right for?

  • Developers who use AI coding tools but want to accumulate and reuse project context

  • Junior and mid-level developers who want to create a "summarize-recycle" loop to prevent learning content from fading away.

  • Solo developers and indie makers who must handle both product development and operations within a limited timeframe

Need to know before starting?

  • Experience using Obsidian or general note-taking apps

  • Experience using AI coding tools (ChatGPT, Claude, etc.) for work

  • Experiences of feeling the need to organize knowledge while performing development or technical tasks.

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