majiayu000 Hubs Skill
Find hub notes - highly connected notes that serve as central points in your knowledge graph.
Purpose
Hub notes are the opposite of orphans. They have many connections (backlinks + forward links) and serve as:
- Knowledge entry points (MOCs, indexes)
- Central concepts (frequently referenced ideas)
- Active topics (currently being worked on)
- Important entities (key people, projects, technologies)
Finding hubs helps you:
- Identify your vault's "center of gravity"
- Understand what topics are most important to you
- Find natural MOC (Map of Content) candidates
- Discover over-connected notes that might need splitting
When to Use
Invoke when you want to:
- Find most connected notes: "hubs" or "hub notes"
- Discover vault structure: "most connected" or "popular notes"
- Find MOC candidates: "central notes" or "important notes"
- Audit note importance: Part of vault analysis
Process
1. Call MCP Tool
Call: mcp__flywheel__find_hub_notes
Parameters: { min_links: 5 } # Default threshold
2. Categorize Hubs
Group hubs by type for better analysis:
By Connection Type:
Balanced hubs (many backlinks + forward links):
- Project X: 45 backlinks, 23 forward links (good MOC)
- Technology Y: 34 backlinks, 28 forward links (central concept)
Backlink hubs (many backlinks, few forward links):
- Daily Habit: 300+ backlinks, 2 forward links (referenced entity)
- Person Name: 67 backlinks, 3 forward links (person)
Forward link hubs (many forward links, few backlinks):
- Tech Index: 3 backlinks, 45 forward links (potential MOC)
- Work Dashboard: 2 backlinks, 38 forward links (aggregator)
By Hub Strength:
Super hubs (100+ total links): 3
Strong hubs (50-99 links): 12
Medium hubs (20-49 links): 45
Weak hubs (5-19 links): 96
3. Display Report
Hub Notes Report
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Found 156 hub notes (11% of vault)
Threshold: 5+ total links
TOP HUBS (20 shown):
1. [[Daily Habit 1]] - 300+ total links
← 300 backlinks | → 2 forward links
Type: Habit | Daily reference
Hub strength: SUPER (daily tracking)
2. [[Main Project]] - 68 total links
← 45 backlinks | → 23 forward links
Type: Project | Balanced hub
Hub strength: STRONG ⭐ (excellent MOC!)
3. [[Core Technology]] - 56 total links
← 42 backlinks | → 14 forward links
Type: Technology | Balanced hub
Hub strength: STRONG (central tech)
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BREAKDOWN BY TYPE:
Habits: 3 (super hubs from daily tracking)
Technologies: 34 (central tech concepts)
Projects: 18 (active work)
People: 23 (frequently mentioned)
Concepts: 45 (important ideas)
MOC CANDIDATES (balanced hubs):
Main Project: 45 ← | 23 → (⭐ excellent MOC)
Core Technology: 34 ← | 28 → (⭐ good MOC)
Options:
1. Show full list (all 156 hubs)
2. Filter by type/strength
3. Find potential MOCs (balanced hubs)
Implementation Details
Hub Criteria
A note is a hub if:
- Total links (backlinks + forward links) >= min_links
- Default threshold: 5 links
- User can adjust: "hubs with 20+ links"
Hub Strength Classification
def classify_hub_strength(total_links):
if total_links >= 100:
return "SUPER"
elif total_links >= 50:
return "STRONG"
elif total_links >= 20:
return "MEDIUM"
else:
return "WEAK"
Hub Balance Score
Measures how balanced backlinks vs forward links are:
def hub_balance_score(backlinks, forward_links):
if backlinks == 0 or forward_links == 0:
return 0 # Completely unbalanced
ratio = min(backlinks, forward_links) / max(backlinks, forward_links)
return ratio * 100 # 0-100%
Balance interpretation:
- 80-100%: Excellent MOC candidate
- 50-79%: Good MOC candidate
- 20-49%: Could improve as MOC
- <20%: Unbalanced (entity vs aggregator)
Related Skills
- orphans: Opposite of hubs (zero connections)
- backlinks: Show specific note's connections
- clusters: Find groups of related hubs
- health: Overall vault metrics (hub % is key metric)
Performance
- MCP call: ~300-500ms for large vaults
- Categorization: ~100ms for 156 hubs
- Total: Usually <1 second