Data Analysis
Patterns for AI-powered analysis: themes, quotes, summaries, and story suggestions.
When to Use
- Adding quotes to story cards
- Implementing story suggestions/related content
- Building theme-based filtering or search
- Creating analytics dashboards
- Integrating AI analysis results
Quick Reference
Analysis Pipeline
Transcript → AI Analysis → themes[], key_quotes[], ai_summary
Story → Connections → Related Stories, Suggested Content
Key Tables
| Table |
Analysis Fields |
transcripts |
themes, key_quotes, ai_summary, ai_processing_status |
stories |
themes, cultural_tags, featured_quote |
storytellers |
expertise_themes, connection_strength |
Theme Categories
- cultural: identity, heritage, tradition, language, ceremony
- family: kinship, elders, children, ancestors, community
- land: country, connection, seasons, wildlife, sacred-sites
- resilience: survival, adaptation, strength, healing, hope
- knowledge: wisdom, teaching, learning, stories, dreams
Common Queries
-- Stories with matching theme
SELECT * FROM stories WHERE themes && ARRAY['identity', 'heritage'];
-- Theme frequency
SELECT unnest(themes) as theme, count(*) FROM stories GROUP BY theme ORDER BY count DESC;
API Endpoints
| Endpoint |
Purpose |
POST /api/transcripts/{id}/analyze |
Trigger AI analysis |
GET /api/stories/{id}/suggestions |
Get related stories |
GET /api/themes |
List themes with counts |
Reference Files
| Topic |
File |
| Code patterns |
refs/analysis-patterns.md |
| SQL queries |
refs/supabase-queries.md |
| Theme hierarchy |
refs/theme-taxonomy.md |
| Sync status |
refs/sync-status.md |
Related Skills
database-navigator - Database exploration
supabase-connection - Database clients
design-component - UI patterns for analysis display