obsidian_expert

Convert Croissant datasets into structured Obsidian Markdown notes with frontmatter and semantic tags.

7 stars

Best use case

obsidian_expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Convert Croissant datasets into structured Obsidian Markdown notes with frontmatter and semantic tags.

Teams using obsidian_expert should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/obsidian_expert/SKILL.md --create-dirs "https://raw.githubusercontent.com/codata/croissant-toolkit/main/.gemini/skills/obsidian_expert/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/obsidian_expert/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How obsidian_expert Compares

Feature / Agentobsidian_expertStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Convert Croissant datasets into structured Obsidian Markdown notes with frontmatter and semantic tags.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 💎 Obsidian Expert Skill

The Obsidian Expert skill bridges the gap between structured machine learning metadata and personal knowledge management. It transforms Croissant JSON-LD files into beautiful, interlinked Markdown notes.

## Features
- **Semantic Mapping**: Automatically maps Croissant properties (creators, description, URL) to Obsidian frontmatter.
- **Tag Generation**: Converts keywords into searchable Obsidian tags (e.g., `#Volodymyr_Zelenskyy`).
- **Raw Integration**: Embeds the full JSON-LD source within the note for reference.
- **Vault Sync**: Supports automatic copying to your personal Obsidian vault via environment variables.

## Configuration
Set the path to your Obsidian vault to automatically sync notes:
```bash
export OBSIDIAN_VAULT_PATH="/Users/yourname/Documents/MyVault/CroissantNotes"
```

## Usage
### 1. Convert a Croissant file to a Note
```bash
python3 skills/obsidian_expert/scripts/to_obsidian.py "./data/croissant/my_dataset.jsonld"
```

### 2. Specify Output Directory
```bash
python3 skills/obsidian_expert/scripts/to_obsidian.py "./data/croissant/my_dataset.jsonld" "./my-vault"
```

## Note Structure
Each note follows a professional layout:
- **Frontmatter**: YAML metadata for Dataview compatibility.
- **Description**: The primary dataset summary.
- **Keywords**: Semantic tags for graph view organization.
- **Resources**: Clickable links to source and distribution files.
- **Raw Metadata**: The full technical JSON-LD source.

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