Obsidian Skills: Giving AI Agents Access to Your Markdown Notes
Obsidian Skills lets AI agents like Claude Code and Codex read and use your Obsidian markdown notes as a searchable knowledge base.
What is Obsidian Skills?
Obsidian Skills is an open-source project that connects Obsidian, the markdown-based note-taking app, to AI coding and chat agents. It packages that connection as a “skill” built on the agent skills specification, a shared format that lets tools like Claude Code, Codex, Cursor, and other agent platforms discover and use the same capability without custom integration work for each one. In practice, it means an agent can read, search, and act on your personal notes the same way it reads a codebase.
TL;DR
- Obsidian Skills turns your notes into agent memory by exposing your markdown vault to AI agents through a standard skill interface instead of copy-pasting content into a chat window.
- It works across agents because it’s built on the agent skills specification, so Claude Code, Codex, Cursor, and other compatible tools can all use the same skill without separate plugins for each.
- The format is markdown-native, which matters because most coding agents already parse and generate markdown well, so there’s little friction translating notes into something an LLM can reason over.
- It’s local-first by design, meaning your notes can stay on your machine, though Obsidian itself supports syncing across devices if you want that.
- People are using it as a knowledge base or personal wiki for agents, storing project context, reference material, or decisions so an agent can pull from it instead of starting from a blank slate.
- Installation is lightweight, typically just pointing an agent at the project’s repository and letting it install the skill, similar to how other agent skills get added.
How does Obsidian Skills work?
Obsidian stores everything as plain markdown files on disk, organized into a “vault” of notes that can link to each other. That simplicity is the whole point: markdown is just text, so any tool that can read files can read your notes without needing a proprietary API or export step.
Obsidian Skills builds on top of that by packaging instructions and logic that tell an agent how to navigate a vault: how to find relevant notes, how to interpret links between them, and how to write back into them if needed. Because it follows the agent skills specification, the skill itself is portable. You install it once against a given vault, and any agent that supports that specification can invoke it, whether that’s a terminal-based coding agent or a chat-style assistant.
The practical workflow looks like this: an agent gets a request that touches on something in your notes, it invokes the Obsidian skill, the skill searches or reads through the relevant markdown files, and the agent uses that content as context for its response. No manual copy-pasting, no re-uploading files every session.
Why does this matter for AI agents?
Most AI agents are stateless between sessions unless you deliberately feed them context. That’s fine for one-off coding tasks, but it breaks down for anything that requires accumulated knowledge: project history, personal preferences, research notes, decisions made months ago. Obsidian already solves the “where do I put this knowledge” problem for a lot of people who use it as a personal wiki or second brain. Obsidian Skills solves the “how does my agent get at this knowledge” problem.
This is part of a broader pattern in agent tooling right now: giving agents durable, structured memory instead of relying purely on chat history or large context windows. A markdown vault is a reasonable place to put that memory because it’s human-readable, versionable, and already organized by whoever wrote the notes.
What can you actually do with it?
Based on how creators have described using it, the common patterns are:
- Using a vault as a knowledge base the agent references when answering questions, so it doesn’t hallucinate details you’ve already documented.
- Treating notes as project memory, where an agent working on a codebase or task can check prior decisions, specs, or context stored in linked notes.
- Building a personal wiki that an agent can both read from and write to, letting it log findings or summaries back into your vault as it works.
Because the underlying format is just markdown files and links, none of this requires a database or special schema. The structure comes from how you’ve organized your notes, not from the tool itself.
Is Obsidian Skills worth setting up?
If you already keep meaningful notes in Obsidian, it’s a low-effort way to make that material useful to an agent instead of leaving it siloed in an app. The setup cost is small: install the skill against your vault and point a compatible agent at it. The main precondition is that you’re already an Obsidian user with a vault worth connecting. If your notes are sparse or disorganized, the skill won’t magically fix that. It surfaces what’s already there.
It’s also worth noting this fits a local-first philosophy. Your notes can stay on your own machine rather than being uploaded to a third-party service, which matters if you’re storing anything sensitive or simply prefer to keep your data under your own control. Obsidian’s native sync options still let you access the same vault across devices if that’s a priority.
How does it compare to other ways of giving agents context?
There are a few common approaches to feeding agents long-term context: pasting text directly into a prompt, uploading files to a chat interface, using retrieval-augmented generation against a vector database, or connecting a structured tool like Obsidian Skills. The vector database approach scales better for very large document sets but adds infrastructure. Manual paste-and-upload works for one-off tasks but doesn’t persist. Obsidian Skills sits in between: it’s more durable and reusable than manual copy-pasting, and lighter-weight than standing up a full retrieval pipeline, because it leans on a format (markdown files and links) that both humans and agents can already parse without extra tooling.
The tradeoff is that it’s only as good as your note-taking habits. A well-linked, consistently updated vault will make the skill genuinely useful. A vault full of half-finished, unlinked notes will just give the agent messier context to work with.
Frequently Asked Questions
What is the agent skills specification?
It’s a shared format that defines how a capability, called a “skill,” can be described and invoked so that different AI agents (such as Claude Code, Codex, or Cursor) can use it without needing a custom integration built for each platform.
Do I need to already use Obsidian to benefit from this?
Yes. Obsidian Skills connects to an existing Obsidian vault of markdown notes. If you don’t already take notes in Obsidian, you’d need to start a vault first before the skill has anything meaningful to work with.
Can my notes stay private and local?
Yes. Obsidian is local-first, meaning your notes live as files on your device by default. Obsidian Skills works with that same local vault, though you can still use Obsidian’s own sync features if you want your notes available across multiple devices.
Which AI agents can use Obsidian Skills?
Because it’s built on the agent skills specification, it’s designed to work with any compatible agent, including tools like Claude Code, Codex, Cursor, and other agent platforms that support the same skill format.
Is this the same as using Obsidian plugins?
No. Obsidian plugins extend the Obsidian app itself. Obsidian Skills is aimed at external AI agents, giving them a standardized way to read and use the content of your vault, rather than adding features inside the Obsidian interface.