| name | cloud-finops |
| description | Specialized skill for optimizing cloud data INFRASTRUCTURE costs and resource utilization at the platform level.
Use when: rightsizing warehouses, configuring auto-suspend policies, optimizing storage formats, setting budget alerts, or forecasting cloud spend.
Do NOT use for query-level cost analysis — use `finding-expensive-queries` instead.
Do NOT use for optimizing individual SQL queries — use `optimizing-query-text` or `optimizing-query-by-id` instead.
|
| license | MIT |
| metadata | {"author":"dataops-agent","version":"2.0.0"} |
Cloud FinOps for Data Infrastructure
Platform-level cost optimization. For query-level cost analysis, use finding-expensive-queries. For SQL optimization, use optimizing-query-text.
When to Apply
Use this skill when:
- Rightsizing Snowflake warehouses (XS → XL) and scaling policies
- Configuring auto-suspend/auto-resume policies
- Evaluating storage formats (Parquet, Iceberg, Delta) for cost impact
- Setting up budget alerts and cost anomaly detection
- Forecasting cloud spend for data platforms
- Comparing pricing models (on-demand vs reserved, standard vs enterprise)
- Implementing resource tagging/attribution for cost allocation
Scope Boundaries
| Task | Correct Skill |
|---|
| "Find our most expensive queries" | finding-expensive-queries |
| "Optimize this slow query" | optimizing-query-text |
| "Our warehouse costs are too high" | this skill ✅ |
| "Should we upsize the warehouse?" | this skill ✅ |
| "Set up budget alerts" | this skill ✅ |
Best Practices
- Attribution: Ensure all resources are tagged to attribute costs to teams/products.
- Warehouse Suspend/Resume: Configure aggressive auto-suspend policies for unused compute.
- Storage vs. Compute: Optimize data formats and partitioning to reduce bytes scanned.
- Continuous Monitoring: Set budget alerts and threshold limits.
Execution Pattern
- Analyze the infrastructure configuration or query cost patterns.
- Identify wasted resources or inefficient scaling policies.
- Provide actionable recommendations and configuration code to reduce costs.
