
from stable-jarvis17
Automatically analyze and categorize Markdown notes in an Obsidian vault using MCP tools to detect folder taxonomy and move notes to the most appropriate locati
Obsidian Auto Classifier uses Model Context Protocol (MCP) actions to map an Obsidian vault's structure, read note contents, and decide where individual notes belong (PARA, Zettelkasten, project folders, archive). It issues verified move operations and optionally updates frontmatter to keep the vault consistent.
Use this skill to clean up an inbox folder, migrate misplaced notes into project or literature folders, or run periodic vault maintenance. It's suited for users with long-running Obsidian vaults who want automated classification based on detected taxonomy and content signals.
Designed for agents with MCP access to Obsidian-style file APIs (clients that implement list_directory, read_note, move_note, update_frontmatter).
Obsidian Auto Classifier instructs an agent to use MCP tools to analyze and reorganize Markdown notes in an Obsidian vault. No bundled scripts — purely a prompt-based skill. The SKILL.md is well-structured with clear step-by-step workflow and bilingual example triggers. No security concerns detected; all operations are local vault file management via MCP tools.
Clean skill, no scripts, no security issues. Monolithic SKILL.md without scripts/ or references/ directories. Bilingual triggers (Chinese + English) are a nice touch for accessibility.