analyze-kb

Analyze the Obsidian knowledge base structure and regenerate a condensed, manageable analysis report.

Local Brain Search

Use Local Brain Search for all semantic search operations.

Scripts:

# Semantic search
resources/local-brain-search/run_search.sh "query" --limit 10 --json

# Find connections
resources/local-brain-search/run_connections.sh "Note Name" --json

# Get graph statistics
resources/local-brain-search/run_connections.sh --stats --json

# Find hub notes
resources/local-brain-search/run_connections.sh --hubs --json

# Find bridge notes
resources/local-brain-search/run_connections.sh --bridges --json

Follow these steps:

1. Get vault statistics using Local Brain Search:

   resources/local-brain-search/run_connections.sh --stats --json

2. List all notes with full directory tree using Bash find:

   find $VAULT_BASE_PATH/Brain -name "*.md" -type f | head -50

3. Use Glob to explore directory structure:
   • All notes: Brain/**/*.md
   • Permanent notes: Brain/02-Permanent/*.md
   • MOCs: Brain/03-MOCs/*.md
   • Sources: Brain/01-Sources/**/*.md
4. Read key hub notes from major clusters using Read tool (Dopamine, Self/Buddhism, Decision-Making, Flow, etc.)

5. Use Local Brain Search to identify hub notes and bridges:

   resources/local-brain-search/run_connections.sh --hubs --json
   resources/local-brain-search/run_connections.sh --bridges --json

   Fingerprint scope note: --hubs/--bridges are the cognitive-fingerprint axis. Scope enforcement is now ON (MEMORY_CONFIG['scope']['enforce']=True, since 2026-06-25; see SCOPE-IMPLEMENTATION-PLAN.md), so they compute on the core subgraph only (02-Permanent, 03-MOCs, AI Extracted Notes, 01-Sources). Document-Insights-inflated hubs (Dopamine/Flow) no longer appear; the true core hubs (MOC - Eight-Circuit, Decision Making, Gilbert, Tetlock, Hagen) surface. --stats stays whole-graph (it answers "how big is the store", not "who am I"). Note which mode is active when recording hubs.

6. Pull BDG statistics for layer distribution and lifecycle phases:

   resources/brain-graph/run_brain_graph.sh status --json

7. Analyze thematic clusters, hierarchical organization, and conceptual architecture
8. Use Edit or Write to update the knowledge-base-analysis.md file with a condensed report (target: ~600-800 lines max):
   • Executive summary with key statistics
   • Hierarchical structure mapping (condensed)
   • 6 major thematic hubs with hub nodes (core thesis + key notes only)
   • Network properties and connectivity (metrics + critical bridges)
   • Content topology and source analysis (top-tier influences only)
   • Intellectual trajectory and maturity assessment (phases + current focus)
   • Recommendations for enhancement (high priority only)

CRITICAL OUTPUT REQUIREMENTS:

• Length target: 600-800 lines maximum (50% of previous verbose reports)
• Prioritize: Core insights, actionable frameworks, critical statistics, key bridge notes
• Eliminate: Excessive examples, redundant explanations, verbose elaborations
• Focus: What's unique, what's actionable, what's growing, what's next
• Style: Bullet points over paragraphs, tables over lists where appropriate
• No duplication: Say things once, clearly, then move on

Generate a condensed, scannable, high-signal report that reveals the knowledge base's personality, cognitive fingerprint, and growth opportunities without overwhelming detail.

State Dependencies

Completion Checklist

• Vault statistics retrieved from Local Brain Search
• Directory structure explored with Glob
• Key hub notes read (Dopamine, Buddhism, Decision-Making, Flow, AI)
• Hub notes and bridges identified
• Thematic clusters analyzed
• knowledge-base-analysis.md updated with condensed report
• Report is 600-800 lines (not verbose)
• Executive summary includes key statistics
• 6 major thematic hubs documented
• Network properties and bridges noted
• Recommendations provided (high priority only)