majiayu000 Backlinks Navigator
Show bidirectional link connections for any note.
When to Use
Invoke when you want to:
- See what notes link TO a note (backlinks)
- See what notes this note links TO (forward links)
- Understand note's position in knowledge graph
- Find bidirectional vs one-way relationships
Process
1. Detect Target Note
Options for specifying the note:
- Current note: "backlinks" (auto-detect from context)
- Specific note: "backlinks for MyProject"
- File path: "backlinks for work/projects/MyProject.md"
2. Get Backlinks
Call mcp__flywheel__get_backlinks(note_path) to retrieve:
- All notes that link TO this note
- Line numbers where links appear
- Context around each link
3. Get Forward Links
Call mcp__flywheel__get_forward_links(note_path) to retrieve:
- All notes this note links TO
- Whether targets exist
- Resolved file paths
4. Analyze Relationships
Identify connection patterns:
- Bidirectional: A links to B AND B links to A (strong connection)
- One-way incoming: Others link here but we don't link back
- One-way outgoing: We link there but they don't link back
- Broken: We link but target doesn't exist
5. Format Report
Display comprehensive connection view:
Connections for [[MyProject]]
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📊 Overview:
• Backlinks: 50 notes link here
• Forward Links: 20 notes linked from here
• Bidirectional: 15 mutual connections
• One-way: 35 incoming, 5 outgoing
⬅️ BACKLINKS (Top 20 of 50):
Bidirectional (mutual links):
1. [[Related Project]] (line 23, 67)
↔ Strong connection (15 mutual refs)
2. [[Technology Used]] (line 12, 45)
↔ Mutual (10 refs each way)
One-way incoming (they link here, we don't link back):
3. [[Planning Doc]] (line 5)
→ Suggestion: Link back if relevant
➡️ FORWARD LINKS (All 20):
Bidirectional (mutual):
1. [[Related Project]] ✅ exists
2. [[Technology Used]] ✅ exists
Broken (target doesn't exist):
3. [[Old Feature]] ❌ broken
→ Run /vault-fix-links to repair
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💡 Insights:
• Highly connected hub (50 backlinks)
• Consider linking back to: Planning Doc
• Fix 1 broken outgoing link
Bidirectional Analysis
Identify relationship strength:
Bidirectional Strength Score:
- Count mutual references
- Calculate ratio of back-to-forward links
- Higher score = stronger connection
Strong bidirectional: >80% ratio
Moderate: 40-80% ratio
Weak: 20-40% ratio
Asymmetric: <20% ratio
Output Format
Always use the branded format:
Connections for [[Note]]
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[Connection details]
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Performance
- Backlinks query: 1-2 seconds
- Forward links query: 1-2 seconds
- Total: ~3-5 seconds for both queries
- Scalability: Works fast even for high-hub notes
Integration
Works well with other skills:
- fix-links: Repair broken forward links detected
- bidirectional: Deeper analysis of one-way relationships
- orphans: Find notes with 0 backlinks
- hubs: Find notes with many backlinks
- suggest: Add more forward links to isolated notes