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---
description: Discover related content across the vault using semantic and structural analysis
model: sonnet
---
# /find-related
Discover related content across a Markdown vault by analysing semantic similarity, shared tags, backlinks, and temporal proximity. Suggests connections that may not be obvious from direct links alone.
## When to Use This Skill
- Finding notes related to a topic you're researching
- Discovering connections between seemingly unrelated content
- Building context before writing a new note
- Identifying related decisions, meetings, or projects
- Expanding the `relatedTo` field for a specific note
## Usage
```
/find-related <note-path-or-topic> [--max 15] [--method semantic|structural|all]
```
### Parameters
| Parameter | Description | Required |
|-------------|------------------------------------------------------|----------|
| `source` | Path to a note or a topic/keyword to search for | Yes |
| `--max` | Maximum related notes to return (default: 15) | No |
| `--method` | Discovery method (default: `all`) | No |
## Instructions
### Phase 1: Analyse Source
1. **If note path:** Read the note and extract:
- Title, type, tags, and summary
- Key concepts and terms from the body
- Existing `relatedTo` links
- Outgoing wiki-links
2. **If topic/keyword:** Use it directly as the search seed
### Phase 2: Multi-Signal Search
Search for related content using multiple signals:
**Signal 1: Tag Overlap**
- Find notes sharing 2+ tags with the source
- Weight: higher score for more shared tags
- Exclude common tags (e.g., `status/active`)
**Signal 2: Backlink Analysis**
- Find notes that link to the same targets as the source
- Notes linking to similar targets are likely related
- Weight: higher for more shared link targets
**Signal 3: Keyword/Semantic Match**
- Extract key terms from the source note
- Search vault for notes containing these terms
- Weight: higher for more term matches
**Signal 4: Temporal Proximity**
- For events (meetings, tasks): find other events within ±7 days
- For projects: find meetings and tasks during the project period
- Weight: lower than other signals (proximity != relevance)
**Signal 5: Type Affinity**
- ADRs relate to other ADRs, Projects, and Systems
- Meetings relate to Projects, People, and Tasks
- Concepts relate to Patterns, Frameworks, and ADRs
- Weight: bonus for expected type pairings
### Phase 3: Rank and Present
1. **Combine signals** into a weighted relevance score per candidate
2. **Remove duplicates** and already-linked notes
3. **Sort by relevance** score (highest first)
4. **Group by relationship type:**
- Already linked (in `relatedTo`)
- Strong match (high confidence)
- Possible match (medium confidence)
- Weak match (low confidence, may be worth investigating)
## Output Format
```markdown
# Related Content: <Source Note/Topic>
**Source:** <note title or topic> | **Results:** X notes found
## Strong Matches (X)
| Note | Type | Relevance | Signals |
|--------------------------------|---------|-----------|----------------------------|
| [[<Note Title>]] | ADR | 92% | Tags: 3, Keywords: 5, Links: 2 |
| [[<Note Title>]] | Concept | 88% | Tags: 2, Keywords: 4 |
## Possible Matches (X)
| Note | Type | Relevance | Signals |
|--------------------------------|---------|-----------|----------------------------|
| [[<Note Title>]] | Meeting | 65% | Temporal, Keywords: 2 |
## Suggested Link Additions
To improve connectivity, consider adding these to the source note's `relatedTo`:
```yaml
relatedTo:
- "[[Strong Match 1]]"
- "[[Strong Match 2]]"
```
## Discovery Insights
- <Interesting connection found, e.g., "3 ADRs share the same theme but aren't cross-linked">
```
## Examples
### Example 1: Find Content Related to a Note
```
/find-related "ADR - Event Sourcing.md"
```
### Example 2: Find Content by Topic
```
/find-related "data integration patterns" --max 20
```
### Example 3: Structural Analysis Only
```
/find-related "Project - Migration.md" --method structural
```
---
**Invoke with:** `/find-related <note-or-topic>` to discover related content across your vault