Knowledge Manager Workflow

Orchestrate a 6-phase content workflow with Zettelkasten analysis and export to Obsidian or Notion.

210|49|Updated Jan 17, 2026
One-click install
npx skills add https://github.com/treylom/knowledge-manager --skill knowledge-manager-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Knowledge Manager Workflow
Source: https://github.com/treylom/knowledge-manager/tree/main/.agent/skills/km-workflow
Command: npx skills add https://github.com/treylom/knowledge-manager --skill knowledge-manager-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the complex process of extracting, analyzing, and exporting content from various sources into a structured knowledge base, ensuring valuable information is captured and interconnected.

Core Features & Use Cases

  • Comprehensive Workflow: Guides users through a 6-phase process from configuration to verification.
  • Intelligent Analysis: Applies Zettelkasten principles for atomic and self-contained notes.
  • Vault Integration: Seamlessly searches and links to existing notes in Obsidian/Notion.
  • Use Case: Process a web article, extract key insights, analyze them against your existing knowledge base, and save them as interconnected notes in Obsidian.

Quick Start

Run the Knowledge Manager Workflow skill to process a given URL, asking the user for detailed preferences.

Frequently Asked Questions about Knowledge Manager Workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate extracting web content into Obsidian or Notion?

You can automate web content extraction into Obsidian or Notion by running a 6-phase workflow that detects input sources, extracts text, applies Zettelkasten analysis, and exports interconnected notes directly to your vault using specific MCP tools.

What is the best way to apply Zettelkasten principles to web articles?

The best way to apply Zettelkasten principles to web articles is using an AI-powered analysis phase that breaks down extracted content into atomic, self-contained notes, followed by linking them to existing notes in your knowledge base.

Can I process and segment external content into atomic notes automatically?

Yes, you can process and segment external content into atomic notes automatically. The workflow mandates user interaction for note segmentation and focus areas, then uses AI to generate self-contained notes based on Zettelkasten principles.

Does this knowledge management workflow support both Obsidian and Notion?

Yes, this knowledge management workflow supports both Obsidian and Notion. It performs vault integration by searching and linking to existing notes in your preferred platform during the final export phase.

Do I need MCP tools to integrate extracted content with my knowledge base?

Yes, you need MCP tools to integrate extracted content with your knowledge base. The workflow requires specific MCP tools for note creation and vault integration to successfully export and link your analyzed content.