curation-methodology

Automate knowledge vault curation for graph health and cross-linking.

86|9|Updated Jun 5, 2026

Search Tags:#curation #vault #cross-linking #knowledge-graph #zettelkasten #graph-health #molecular-notes

Ready to run

npx skills add https://github.com/magnus919/hermes-profiles --skill curation-methodology

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: curation-methodology
Source: https://github.com/magnus919/hermes-profiles/tree/main/skills/curation-methodology
Command: npx skills add https://github.com/magnus919/hermes-profiles --skill curation-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

The curator is the vault's gardener. This methodology provides structured rules for maintaining graph health, cross-linking, topic tagging, and lifecycle governance. It helps ensure atoms, molecules, and alloys stay connected and meaningful over time.

Core Features & Use Cases

Explicitly defines the curator's domain and responsibilities: graph structure, cross-linking heuristics, and topic evolution.
Provides a set of reference files, diagnostics assets, and a recurring curation cycle to keep the vault healthy and navigable.
Enables scalable knowledge management for large vaults with consistent governance and discovery.

Quick Start

Instruct the vault to load the Molecular Notes MoC, audit graph health, and run the curation cycle.

Frequently Asked Questions about curation-methodology

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

FAQPage Schema

How do I maintain graph health and cross-linking in a large knowledge vault?▼

Maintaining graph health requires structured curation rules for cross-linking heuristics, topic tagging, and lifecycle governance across atoms, molecules, and alloys. This ensures notes stay interconnected and navigable as the vault grows.

What is the best way to automate knowledge vault curation and lifecycle progression?▼

Automating knowledge vault curation involves applying frontmatter-driven metadata, reference loading, and periodic maintenance workflows. This governs lifecycle progression from atoms to molecules and alloys while sustaining connective density.

How does a Zettelkasten curation methodology handle per-note governance?▼

A Zettelkasten curation methodology handles per-note governance by applying explicit rules for graph structure, cross-linking heuristics, and topic evolution. It uses frontmatter-driven metadata to keep individual notes meaningful within the broader knowledge graph.

Can I use this curation methodology for scalable knowledge management across large vaults?▼

Yes, this curation methodology enables scalable knowledge management for large vaults by providing reference files, diagnostics assets, and a recurring curation cycle. It ensures consistent governance, cross-linking, and topic discovery across extensive note collections.

Why does my knowledge graph lose connective density over time and how do I fix it?▼

A knowledge graph loses connective density over time without consistent cross-linking and topic tagging governance. You can fix it by running a recurring curation cycle that audits graph health and applies maintenance workflows to reconnect orphaned atoms and molecules.