warehouse
Plan and review read-only data warehouse analysis with explicit scope, privacy, provenance, and validation checks.
Finance & AccountingData & AnalyticsInsurance & Riskanalyticsdata-qualitydata-warehousesql
Warehouse Analysis
Overview
Use this skill to turn a business question into a careful, reproducible warehouse-analysis plan. It is vendor-neutral and assumes no particular schema, semantic layer, connector, or command-line tool.
The skill defaults to read-only work. It helps identify the data needed, review a proposed query, and communicate results without overstating what the evidence supports.
When to Use
- The user wants to answer a business question using an authorized data warehouse.
- A proposed SQL query needs a review for grain, joins, filters, privacy, or interpretation risks.
- An analysis needs a clear record of scope, freshness, assumptions, and source tables.
Do not use this skill for warehouse administration, pipeline repair, access escalation, schema mutation, or production data changes.
Required Inputs
Before proposing a query, establish:
- The decision or question the analysis should inform.
- The population, metric, dimensions, and time window.
- The authorized warehouse or query interface available to the user.
- The relevant schema documentation or table metadata.
- Any privacy, retention, regional, or minimum-group-size constraints.
If a required input is missing, ask a focused question. Never invent table names, column names, business definitions, credentials, or query results.
Workflow
1. Define the analytical contract
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | self |
|---|---|
| License | — |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-07-12 |
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