obsidian-llm-hub Skill

How to use obsidian-llm-hub Skill

git clone https://github.com/takeshy/obsidian-llm-hub
cd obsidian-llm-hub
npm install
npm run build

{
	"id": "llm-hub",
	"name": "LLM Hub",
	"minAppVersion": "1.10.0",
	"description": "AI assistant with chat, workflow automation, and semantic search (RAG). Supports Gemini, OpenAI, Anthropic, OpenRouter, Grok, local LLMs, and CLI backends.",
	"author": "takeshy",
	"authorUrl": "https://github.com/takeshy",
	"fundingUrl": "https://buymeacoffee.com/takeshy",
	"isDesktopOnly": true,
	"version": "0.27.0"
}

What is obsidian-llm-hub Skill?

obsidian-llm-hub is a TypeScript AI agent skill for Cursor, Codex with npx, uvx/pip, git clone. Obsidian plugin for AI chat, workflow automation, and semantic search — supports Gemini, OpenAI, OpenRouter, Grok, Ollama, and CLI backends This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Key capabilities

• Reusable instructions support
• Includes SKILL.md support
• Shell commands support
• Browser use support
• File editing support
• Document generation support
• OpenAI provider support

Available tools

Technical details

Install or run obsidian-llm-hub using npx. Check takeshy/obsidian-llm-hub for the latest setup command.

• Built for TypeScript
• Built for Node.js
• Built for Python
• Built for Go
• Install or run with npx
• Install or run with uvx/pip
• Install or run with git clone
• Install or run with remote URL

Requirements and access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

When to use obsidian-llm-hub Skill

• Use it for reusing agent instructions, scripts, and references.
• Use it for agent skills workflows.
• Use it for coding workflows.
• Use it for data workflows.
• Use it for cursor users.

Built with

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Frequently asked questions