Cost Optimizer (Cloud Data Platforms)
Analyzes and optimizes costs for cloud data platforms
npx skills add a5c-ai/babysitter --skill cost-optimizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Cost Optimizer (Cloud Data Platforms) ## Overview Analyzes and optimizes costs for cloud data platforms. This skill provides deep expertise in platform-specific cost structures and optimization strategies. ## Capabilities - Snowflake credit analysis and optimization - BigQuery slot and on-demand optimization - Redshift node sizing - Storage cost optimization - Query cost estimation - Warehouse scheduling recommendations - Data lifecycle policy recommendations - Reserved capacity planning ## Input Schema ```json { "platform": "snowflake|bigquery|redshift|databricks", "usageMetrics": "object", "billingData": "object", "queryHistory": "object" } ``` ## Output Schema ```json { "currentCost": "number", "optimizedCost": "number", "savings": "percentage", "recommendations": [{ "category": "string", "action": "string", "impact": "number", "effort": "low|medium|high" }] } ``` ## Target Processes - Data Warehouse Setup - Query Optimization - Pipeline Migration ## Usage Guidelines 1. Provide platform-specific usage metrics 2. Include billing data for cost baseline 3. Share query history for optimization analysis 4. Prioritize recommendations by impact and effort ## Best Practices - Regularl
- Overview
- Capabilities
- Input Schema
- Output Schema
- Target Processes
- Usage Guidelines
- Best Practices
What does the Cost Optimizer (Cloud Data Platforms) skill do?
Analyzes and optimizes costs for cloud data platforms
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill cost-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.