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vault-strength

@bencassie/flywheel
0
0

Calculate connection strength between two notes based on multiple factors. Triggers on "connection strength", "how related", "relationship score", "strength between".

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name vault-strength
description Calculate connection strength between two notes based on multiple factors. Triggers on "connection strength", "how related", "relationship score", "strength between".
auto_trigger true
trigger_keywords connection strength, how related, relationship score, strength between, how strongly connected, relationship strength, connection score, how connected are, relationship quality, link strength, affinity between, closeness, related score, connection quality, how tight is link
allowed-tools mcp__flywheel__get_connection_strength

Connection Strength Calculator

Calculate the overall relationship quality between two notes using multiple factors.

When to Use

Invoke when you want to:

  • Quantify how related two notes are
  • Understand relationship factors (not just links)
  • Compare relationship strengths between different pairs
  • Get a holistic view beyond simple link counting

Arguments

Argument Required Description
note_a Yes First note (title or path)
note_b Yes Second note (title or path)

Process

1. Parse User Input

Identify the two notes:

  • "connection strength between [[Project A]] and [[Technology X]]"
  • "how related are [[React]] and [[Vue]]"
  • "relationship score for daily note and weekly note"

2. Call MCP Tool

mcp__flywheel__get_connection_strength(
  note_a: "path/to/first/note.md",
  note_b: "path/to/second/note.md"
)

3. Format Results

Connection Strength
=================================================

[[Project A]] <-> [[Technology X]]

Overall Score: 78/100 (Strong Connection)

-------------------------------------------------

Factor Breakdown:

  Direct Links:        25/30  (+25)
    - A links to X: Yes (10 pts)
    - X links to A: Yes (10 pts)
    - Link frequency: 3 mentions (5 pts)

  Shared References:   18/25  (+18)
    - Common neighbors: 6 notes
    - Overlap ratio: 72%

  Structural:          20/25  (+20)
    - Same folder: Yes (10 pts)
    - Path distance: 1 hop (10 pts)

  Metadata:            15/20  (+15)
    - Shared tags: 3 (#project, #tech, #active)
    - Same type: Yes (project notes)

-------------------------------------------------

Interpretation:
  - STRONG: These notes are highly related
  - Direct bidirectional links exist
  - High shared context (6 common references)
  - Same folder reinforces relationship
  - Shared tags confirm topical similarity

=================================================

Score Interpretation

Score Rating Meaning
80-100 Very Strong Core relationship, highly integrated
60-79 Strong Significant connection
40-59 Moderate Notable relationship
20-39 Weak Some connection exists
0-19 Minimal Little to no relationship

Scoring Factors

The strength score considers:

  1. Direct Links (up to 30 points)

    • Does A link to B?
    • Does B link to A?
    • How many times are they mentioned?
  2. Shared References (up to 25 points)

    • Common neighbors count
    • Overlap ratio with total links
  3. Structural (up to 25 points)

    • Same folder = higher connection
    • Shorter path = higher connection
  4. Metadata (up to 20 points)

    • Shared tags
    • Same note type (if using frontmatter)

Use Cases

  • Relationship validation: "Is this connection as strong as I thought?"
  • Comparison: "Which project is more related to this technology?"
  • Graph optimization: "Should I add more links between these?"
  • Knowledge mapping: "What's the strongest connection in this cluster?"

Integration

Works well with other skills:

  • path: Trace the actual link path between notes
  • common: See the specific shared references
  • bidirectional: Check if direct two-way link exists
  • clusters: See which cluster each note belongs to

Version: 1.0.0