| name | data-analysis |
| description | AI-powered data analysis for Empathy Ledger - themes, quotes, story suggestions, transcript analysis. |
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
SELECT * FROM stories WHERE themes && ARRAY['identity', 'heritage'];
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