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Obsidian

OrganizationPopular
laude-institute
obsidian

Read, write, search, and manage notes in an Obsidian vault

Overview

Publisherlaude-institute
Repositoryheadlong
Skill nameobsidian
Stars
1.2K
Forks
127
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by laude-institute on GitHub. Read the source before you install it.

Installation

Install the Obsidian AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/laude-institute/headlong/tree/main/skills/obsidian
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/laude-institute/headlong.git /tmp/headlong
mkdir -p .claude/skills
cp -r /tmp/headlong/skills/obsidian .claude/skills/obsidian
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Obsidian in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Obsidian on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Obsidian is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

obsidian — Obsidian vault management

Overview

An Obsidian vault is a folder of markdown files with a .obsidian/ config directory. The OBSIDIAN_VAULT environment variable must point to the vault root. All operations are filesystem-based — Obsidian detects changes automatically when running.

Obsidian Sync

Obsidian watches the vault directory for filesystem changes. When Obsidian is running, any file you create, edit, or delete is picked up and synced automatically (if Obsidian Sync or a sync plugin is configured). Never modify anything inside .obsidian/ directly.

Filesystem operations

Read a note

bash
cat "$OBSIDIAN_VAULT/path/to/note.md"

List notes

bash
# All notes
find "$OBSIDIAN_VAULT" -name '*.md' -not -path '*/.obsidian/*'

# Notes in a specific folder
ls "$OBSIDIAN_VAULT/folder/"*.md

Create a note

bash
cat > "$OBSIDIAN_VAULT/path/to/note.md" << 'EOF'
---
tags: [topic]
---

Note content here.
EOF

Edit a note (append)

bash
echo "New content" >> "$OBSIDIAN_VAULT/path/to/note.md"

Edit a note (overwrite)

bash
cat > "$OBSIDIAN_VAULT/path/to/note.md" << 'EOF'
Replacement content.
EOF

Search by content

bash
grep -rl "search term" "$OBSIDIAN_VAULT" --include='*.md' | grep -v '.obsidian/'

Search by filename

bash
find "$OBSIDIAN_VAULT" -name '*keyword*' -name '*.md' -not -path '*/.obsidian/*'

Move / rename

bash
mv "$OBSIDIAN_VAULT/old/path.md" "$OBSIDIAN_VAULT/new/path.md"

Note: Moving or renaming files does not automatically update [[wikilinks]] pointing to that note. If the note is linked from others, update those references manually or rely on Obsidian's built-in rename refactoring (which only works when Obsidian performs the rename via its UI).

Delete a note

bash
rm "$OBSIDIAN_VAULT/path/to/note.md"

Manage folders

bash
mkdir -p "$OBSIDIAN_VAULT/new/folder"
rmdir "$OBSIDIAN_VAULT/empty/folder"

Tags, links, and metadata

Find notes with a tag

bash
grep -rl '#tagname' "$OBSIDIAN_VAULT" --include='*.md' | grep -v '.obsidian/'

Find notes linking to a page

bash
grep -rl '\[\[Page Name\]\]' "$OBSIDIAN_VAULT" --include='*.md' | grep -v '.obsidian/'

Find backlinks to a note

bash
# Find all notes that link to "My Note"
grep -rl '\[\[My Note\]\]' "$OBSIDIAN_VAULT" --include='*.md' | grep -v '.obsidian/'

Read frontmatter

bash
sed -n '/^---$/,/^---$/p' "$OBSIDIAN_VAULT/path/to/note.md"

Write frontmatter

When creating notes, include YAML frontmatter between --- markers at the top of the file:

yaml
---
tags: [tag1, tag2]
aliases: [alternate-name]
date: 2024-01-15
---

Conventions

  • Wikilinks: Use [[Note Name]] to link between notes. For sections: [[Note Name#Section]].
  • Tags: Use #tag inline or in frontmatter tags: [tag1, tag2].
  • Frontmatter: YAML between --- markers at the top of each file. Used for tags, aliases, dates, and custom metadata.
  • Daily notes: Typically stored in a daily/ or Daily Notes/ folder with YYYY-MM-DD.md naming.
  • Attachments: Images and files typically go in an attachments/ or assets/ folder.
  • Never touch .obsidian/: This directory contains Obsidian's configuration, plugins, and theme data. Modifying it directly can corrupt settings.

Frequently asked questions

What does the Obsidian AI skill do?

Read, write, search, and manage notes in an Obsidian vault

Why use Obsidian on TypingMind?

Because you install it once and use it with any model. Obsidian is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Obsidian in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laude-institute/headlong/tree/main/skills/obsidian. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Obsidian?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Obsidian?

As many as you like. As long as a model supports skills, you can use Obsidian with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Obsidian AI skill free?

Yes. It is published on GitHub by laude-institute under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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