Agent skill

data-exploration-key-columns

Sub-skill of data-exploration: Key Columns (+5).

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Install this agent skill to your Project

npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/data/analytics/data-exploration/key-columns

SKILL.md

Key Columns (+5)

Key Columns

Column Type Description Example Values Notes
user_id STRING Unique user identifier "usr_abc123" FK to users.id
event_type STRING Type of event "click", "view", "purchase" 15 distinct values
revenue DECIMAL Transaction revenue in USD 29.99, 149.00 Null for non-purchase events
created_at TIMESTAMP When the event occurred 2024-01-15 14:23:01 Partitioned on this column

Relationships

  • Joins to users on user_id
  • Joins to products on product_id
  • Parent of event_details (1:many on event_id)

Known Issues

  • [List any known data quality issues]
  • [Note any gotchas for analysts]

Common Query Patterns

  • [Typical use cases for this table]


## Schema Exploration Queries


When connected to a data warehouse, use these patterns to discover schema:

```sql
-- List all tables in a schema (PostgreSQL)
SELECT table_name, table_type
FROM information_schema.tables
WHERE table_schema = 'public'
ORDER BY table_name;

-- Column details (PostgreSQL)
SELECT column_name, data_type, is_nullable, column_default
FROM information_schema.columns
WHERE table_name = 'my_table'
ORDER BY ordinal_position;

-- Table sizes (PostgreSQL)
SELECT relname, pg_size_pretty(pg_total_relation_size(relid))
FROM pg_catalog.pg_statio_user_tables
ORDER BY pg_total_relation_size(relid) DESC;

-- Row counts for all tables (general pattern)
-- Run per-table: SELECT COUNT(*) FROM table_name

Lineage and Dependencies

When exploring an unfamiliar data environment:

  1. Start with the "output" tables (what reports or dashboards consume)
  2. Trace upstream: What tables feed into them?
  3. Identify raw/staging/mart layers
  4. Map the transformation chain from raw data to analytical tables
  5. Note where data is enriched, filtered, or aggregated

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