kepano/obsidian-skills
kepano/obsidian-skills
A toolkit that teaches AI assistants how to operate Obsidian. It helps AI understand note formats, create canvases, and even call command lines, enabling AI to truly help organize your knowledge base.
Agent skills for Obsidian. Teach your agent to use Markdown, Bases, JSON Canvas, and use the CLI.
AI Summary
What This Project Does
Simply put, it's an "Obsidian plugin pack" for AI. It enables AI assistants (like Claude Code or Codex) to understand Obsidian note syntax, such as bidirectional links and canvas files, without writing messy code.
What Problems It Solves
Solves the issue of AI not understanding note-taking software's specific formats. Traditional AI-generated Markdown might not display links or properties correctly in Obsidian; this tool lets AI generate natively usable note files directly.
Who It's For
1. Heavy Obsidian users who want to use AI to organize notes.
2. Tech enthusiasts willing to try command-line tools.
3. Creators who need to automate knowledge base content processing.
Typical Use Cases
1. Ask AI to directly generate knowledge cards with internal links.
2. Automatically clean web content and save it as clean notes.
3. Batch modify vault properties or plugins via command line.
4. Create complex mind map canvas files.
Key Strengths & Highlights
Follows the universal Agent Skills standard, compatible with multiple AI tools. Optimized specifically for the Obsidian ecosystem, understanding OFM syntax and Bases functions, more precise than general AI.
Getting Started Requirements
Requires familiarity with command-line operations and AI agent environment configuration. Ordinary users installing plugins might not be enough; it needs to be used with AI tools, involving a learning curve.
Purpose
Suitable for users who want to deeply manage Obsidian vaults with AI and know technical configuration. Not suitable for those who just want simple Q&A or don't know CLI operations.
Category
Project Info
- Primary Language
- â
- Default Branch
- main
- License
- MIT
- Homepage
- â
- Created
- Jan 2, 2026
- Last Commit
- 17 days ago
- Last Push
- 17 days ago
- Indexed
- Apr 19, 2026