Unlinked Mentions Skill

Find all places where an entity (note title or alias) is mentioned in vault text but not yet wikilinked.

Purpose

This skill helps you:

• Find "orphan references" (entity mentioned but never linked)
• Complete your wikilink graph
• Discover implicit connections in your vault
• Apply consistent linking for important entities

When to Use

Invoke when you want to:

• Find where an entity is mentioned: "where is Databricks mentioned"
• Link entity everywhere: "link Databricks everywhere"
• Check unlinked references: "unlinked mentions of Claude Code"
• Audit entity usage: "find mentions of John Smith"

Process

1. Identify Entity

Extract entity name from user's question:

• "unlinked mentions of Databricks" → Entity: "Databricks"
• "where is Claude Code mentioned" → Entity: "Claude Code"

If entity is ambiguous, use AskUserQuestion to clarify.

2. Call MCP Tool

Call: mcp__flywheel__get_unlinked_mentions
Parameters: { entity: "Databricks" }

3. Display Results

Show formatted report:

Unlinked Mentions: [[Databricks]]
═══════════════════════════════════════════════

Found 5 unlinked mentions across 3 notes:

📄 daily-notes/2025-12-30.md:42
   > Working with Databricks today

📄 work/projects/data-migration.md:15
   > Using Databricks for ETL pipeline

📄 tech/tutorials/spark-intro.md:23
   > Databricks provides a managed Spark environment

═══════════════════════════════════════════════

Options:
1. Apply wikilinks automatically (safe - no code/frontmatter)
2. Review each mention individually
3. Cancel

4. Apply Wikilinks (Optional)

If user chooses option 1 or 2:

Option 1 (Automatic):

• Read each file
• Apply wikilinks using safe patterns (skip code blocks, frontmatter, URLs)
• Edit files with new links
• Report: "Applied 5 wikilinks across 3 notes"

Option 2 (Review):

• For each mention:
  • Show context (3 lines before/after)
  • Ask: "Link this mention? (y/n)"
  • Apply if yes, skip if no
• Report: "Applied 3 wikilinks, skipped 2"

Implementation Details

Entity Resolution

If entity doesn't exist as exact note title:

• Check for aliases (frontmatter)
• Suggest similar entities
• Ask user to confirm or choose alternative

Safe Linking Rules

When applying wikilinks automatically:

NEVER link inside:

• YAML frontmatter (between --- markers)
• Code blocks (triple backtick fenced)
• Inline code (single backticks)
• Existing wikilinks
• Markdown links
• Bare URLs

ALWAYS:

• Use word boundaries (don't partial match)
• Preserve original capitalization
• Match case-insensitive but preserve case
• Link only FIRST occurrence per file (avoid over-linking)

Example Edit Pattern

Before:

Working with Databricks today on the ETL pipeline.
Need to check Databricks documentation.

After:

Working with [[Databricks]] today on the ETL pipeline.
Need to check Databricks documentation.

Note: Only first occurrence linked (convention to avoid cluttering text).

Use Cases

1. Entity Audit

Scenario: You created a new note and want to find all mentions. Command: "unlinked mentions of My Topic" Result: Finds places where "My Topic" appears but isn't linked

2. Consistency Check

Scenario: You have a person note but sometimes reference differently in text. Command: "where is John mentioned" Result: Finds unlinked text, applies aliased links

3. Retroactive Linking

Scenario: You just created a new concept note after writing about it for months. Command: "link My New Concept everywhere" Result: Finds all historical mentions and creates proper wikilinks

Related Skills

• backlinks: Shows existing backlinks (this skill finds MISSING links)
• suggest: Suggests wikilinks for current note (this skill targets specific entity)
• fix-links: Fixes broken links (this skill creates NEW links)
• rebuild-wikilink-cache: Updates entity cache (run before this if cache is stale)

Six Gates Compliance

Performance

• MCP call: ~200-500ms for typical entity
• File edits: ~100ms per file
• Total: Usually <5 seconds for 10-20 mentions