Graph Note

Show detailed information about a specific note, including all relationships and backlinks.

0. Locate AZKG Repository

Check for AZKG_REPO_PATH environment variable:

• Use bash conditional: if [ -z "$AZKG_REPO_PATH" ]; then REPO_PATH=$(pwd); else REPO_PATH="$AZKG_REPO_PATH"; fi
• If AZKG_REPO_PATH is set: Use that path as the repository root
• If AZKG_REPO_PATH is not set: Use current working directory (pwd)
• Store result as REPO_PATH for all subsequent file operations

All file operations must use REPO_PATH:

• Read: Read(REPO_PATH/filename.md) or Read("$REPO_PATH/filename.md")
• Write: Write(REPO_PATH/filename.md) or Write("$REPO_PATH/filename.md")
• Edit: Edit(REPO_PATH/filename.md) or Edit("$REPO_PATH/filename.md")
• Grep: Grep(pattern, path=REPO_PATH) or with explicit path
• Glob: Glob(pattern, path=REPO_PATH) or with explicit path

Example usage:

# Check environment variable
if [ -z "$AZKG_REPO_PATH" ]; then
  REPO_PATH=$(pwd)
else
  REPO_PATH="$AZKG_REPO_PATH"
fi

# Then use REPO_PATH for all operations
Read("$REPO_PATH/agents.md")

Concrete examples:

• If AZKG_REPO_PATH="/c/Users/dothompson/OneDrive/src/witt3rd/donald-azkg" → Read("/c/Users/dothompson/OneDrive/src/witt3rd/donald-azkg/agents.md")
• If AZKG_REPO_PATH is not set and pwd is /c/Users/dothompson/OneDrive/src/witt3rd/donald-azkg → Read("agents.md") or use full path from pwd

Task

Display:

• Note title, tags, and summary (from YAML frontmatter and heading)
• All relationships from "Related Concepts" section
• Backlinks (other notes that reference this note)

Input

User provides filename: /graph-note agents.md or /graph-note agents

Execution Steps

1. Normalize Filename

Ensure filename has .md extension.

2. Verify Note Exists

Use Glob to check if note exists:

Glob "agents.md"

If not found, report error.

3. Read Note Content

Use Read tool to get full note content.

4. Extract Metadata

From the note content:

• Title: First # Heading after YAML frontmatter
• Tags: From tags: field in YAML frontmatter
• Summary: First paragraph after title (before ## sections)

5. Parse "Related Concepts" Section

From note content, extract all relationships:

• Prerequisites
• Related Topics
• Extends
• Extended By
• Alternatives
• Examples

For each relationship, capture the target note and "why" explanation.

6. Find Backlinks

Use Grep to find all notes that reference this note:

# Find all wikilinks to this note
Grep "\[\[agents\]\]" --glob="*.md" --output_mode="files_with_matches"

Count and list the files that link to this note.

Output Format

Note: agents.md
============================================================

## Metadata
Title: AI Agents
Tags: #agents, #ai, #llm, #architecture
Summary: AI agents are autonomous systems powered by LLMs that can perceive,
decide, and act to achieve goals.

## Relationships (Total: 8)

### Prerequisites (0)
(None)

### Related Topics (3)
- [[semantic_routing]] - Enables intelligent model selection for agent tasks
- [[llm_self_talk_optimization]] - Token-efficient communication between agents
- [[react_agent_pattern]] - UI pattern for building agent interfaces

### Extends (0)
(None)

### Extended By (2)
- [[claude_code]] - Implements agentic coding assistant
- [[alita]] - Example implementation of AI agent system

### Alternatives (0)
(None)

### Examples (3)
- [[alita]] - Production AI agent implementation
- [[claude_code]] - Agentic coding assistant
- [[another_example]] - Another implementation

## Backlinks (12 notes reference this)

Files that link to [[agents]]:
- semantic_routing.md
- react_agent_pattern.md
- mcp_overview.md
- claude_code.md
- agents_moc.md
- ...

============================================================
💡 Next Steps:
• Use `/expand-graph agents.md` to discover more relationships
• Review backlinks to understand how this note is used
• Check if "Extended By" relationships should be in "Examples" instead

Use Cases

• Understand connections: See how a note fits into the knowledge graph
• Find usage: See where a concept is referenced (backlinks)
• Verify relationships: Check if relationships are accurate and complete
• Discover gaps: Find missing prerequisite or extension relationships

Tools Used

• Glob - Verify note exists
• Read - Get full note content
• Grep - Find backlinks (wikilinks to this note)
• Parse logic - Extract YAML, title, summary, relationships

Present Results

• Show clear breakdown of relationship types
• Highlight if note has no prerequisites (might be foundational)
• Highlight if note has many Extended By (indicates it's a base concept)
• Show backlink count to indicate note importance/usage
• Suggest using /expand-graph if relationship count seems low