Agent skill · data analytics · aiskillstore
data-analysis
AI-powered data analysis for Empathy Ledger - themes, quotes, story suggestions, transcript analysis.
Why this skill is useful
Provides specific SQL queries and API endpoints for AI-driven data analysis that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 Key Tables Table Analysis Fields ------- ----------------- transcripts themes, keyquotes, aisummary, aiprocessingstatus stories themes, culturaltags, featuredquote storytellers expertisethemes, connectionstrength 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 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
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/data-analysis