| name | supabase |
| description | Navigate Supabase database tables, relationships, and query patterns. Schema reference for Empathy Ledger. |
Supabase Database
Navigate and query the Empathy Ledger Supabase database.
When to Use
- Understanding table relationships
- Writing database queries
- Finding the right data source
- Checking schema structure
Quick Relationship Map
tenants
└── profiles → storytellers → stories → transcripts
↓
transcript_analysis_results
↓
narrative_themes + extracted_quotes
Core Tables
Storytelling
| Table | Purpose |
|---|
storytellers | Storyteller personas (canonical) |
stories | Core content |
transcripts | Audio/text transcriptions |
Analysis
| Table | Purpose |
|---|
transcript_analysis_results | Versioned AI analysis |
narrative_themes | AI-extracted themes |
knowledge_chunks | RAG embeddings (22k+) |
Multi-Tenant
| Table | Purpose |
|---|
tenants | Top-level isolation |
profiles | User accounts |
organisations | Community groups |
Common Queries
SELECT st.*, COUNT(s.id) as story_count
FROM storytellers st
LEFT JOIN stories s ON s.storyteller_id = st.id
GROUP BY st.id;
SELECT * FROM stories
WHERE 'healing' = ANY(cultural_themes);
SELECT unnest(cultural_themes) as theme, COUNT(*)
FROM stories WHERE status = 'published'
GROUP BY theme ORDER BY count DESC;
Reference Files
| Topic | File |
|---|
| Full table list | refs/tables.md |
| Relationship diagram | refs/relationship-diagram.md |
Related Skills
supabase-connection - Database clients
supabase-deployment - Migrations
database-navigator - Schema exploration