ideaverse-enrichment

Automate Ideaverse vault enrichment with ARC workflow, classification, and deduplication.

16|2|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/mrfelton/ideaverse --skill ideaverse-enrichment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ideaverse-enrichment
Source: https://github.com/mrfelton/ideaverse/tree/main/skills/ideaverse-enrichment
Command: npx skills add https://github.com/mrfelton/ideaverse --skill ideaverse-enrichment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps teams capture, standardize, and integrate new knowledge into an Ideaverse vault, reducing manual curation effort and ensuring consistent structure.

Core Features & Use Cases

  • ARC Enrichment Workflow: Add → Relate → Communicate to capture, relate, and apply new information.
  • Atomic Extraction & MOC Integration: Create one-idea-per-note notes, connect to the parent MOC for coherent structure.
  • Duplicate Detection & Resolution: Check for existing coverage before creating notes; merge or link as appropriate to avoid fragmentation.
  • Classification & Pattern Application: Determine knowledge type (Concept, Process, Entity, Principle) and apply extraction templates accordingly.
  • Use Cases: Article processing, meeting insights, research integration, and learning a new domain.

Quick Start

Example: Capture an article, identify 3–5 atomic concepts, classify each as concept/process/entity/principle, create atomic notes with frontmatter (up/related/created), add to the relevant MOC, and log enrichment in your daily note.

Frequently Asked Questions about ideaverse-enrichment

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

FAQPage Schema
How do I automate knowledge management enrichment for an Ideaverse vault?

Automate Ideaverse knowledge enrichment by applying the ARC workflow to process articles, extract atomic concepts, classify notes, and detect duplicates. This reduces manual curation effort and ensures standardized structure across your notes.

What is the ARC workflow for extracting atomic notes and integrating MOCs?

The ARC workflow stands for Add, Relate, and Communicate. It captures new information, connects atomic notes to parent MOCs for coherent structure, and applies knowledge patterns to ensure consistent integration into your vault.

How do I prevent duplicate atomic notes when adding new concepts?

Prevent duplicate atomic notes by running duplicate detection before creation. The workflow checks for existing coverage across your vault and merges or links concepts appropriately to avoid knowledge fragmentation.

Do I need frontmatter templates to classify and extract knowledge types?

Yes, you need frontmatter-compliant notes and per-type extraction templates to classify knowledge. The system categorizes information into Concept, Process, Entity, or Principle types and applies the corresponding template for quality and consistency.

What's the best way to process articles into atomic notes without fragmentation?

The best way to process articles is capturing the text, identifying 3-5 atomic concepts, classifying each by type, creating frontmatter-compliant notes, and adding them to a relevant MOC. Log this enrichment activity in your daily note for tracking.

Why does knowledge enrichment require a references folder?

Knowledge enrichment requires a references folder to guide quality and consistency during the extraction process. It works alongside per-type templates and frontmatter rules to ensure captured information maintains structural integrity across the vault.