setup-warehouse
SkillSet up a data warehouse for Confidence experimentation analytics. Use when the user asks to connect a warehouse, set up BigQuery/Snowflake/Databricks/Redshift, or configure data connectors.
Install
git clone https://github.com/spotify/confidence-ai-plugins.git ~/.claude/skills/setup-warehouseWhat is setup-warehouse?
Set up a data warehouse for Confidence experimentation analytics. Use when the user asks to connect a warehouse, set up BigQuery/Snowflake/Databricks/Redshift, or configure data connectors.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~47 tokens of context used while enabled, before you invoke anything
Documentation
README · ~4 min readSetup Warehouse
Configure a data warehouse so Confidence can store and analyze your experiment data — flag assignments, events, and metrics.
A data warehouse is where Confidence writes your experimentation data. It connects to your existing cloud data infrastructure so you can query experiment results, build dashboards, and run statistical analysis. Without a warehouse, Confidence can resolve flags but cannot analyze experiment outcomes.
Supported Warehouse Types
| # | Warehouse | Best for |
|---|---|---|
| 1 | BigQuery | Google Cloud users, fastest setup |
| 2 | Snowflake | Snowflake users, key-pair authentication |
| 3 | Databricks | Databricks users, requires AWS S3 staging bucket |
| 4 | Redshift | AWS users, requires S3 staging bucket |
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