Cost Optimizer (Cloud Data Platforms)
SkillDev toolsAnalyzes and optimizes costs for cloud data platforms
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Cost Optimizer (Cloud Data Platforms) skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/data-engineering-analytics/skills/cost-optimizer/SKILL.md and read by ahel’s review.
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
{
"platform": "snowflake|bigquery|redshift|databricks",
"usageMetrics": "object",
"billingData": "object",
"queryHistory": "object"
}
Output Schema
{
"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
- Provide platform-specific usage metrics
- Include billing data for cost baseline
- Share query history for optimization analysis
- Prioritize recommendations by impact and effort
Best Practices
- Regularly review and optimize warehouse sizes
- Implement auto-suspend and auto-resume policies
- Use clustering and partitioning to reduce scan costs
- Consider reserved capacity for predictable workloads
- Monitor and alert on cost anomalies
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
cost-optimizer-cloud-data-platforms- Source
- github.com/a5c-ai/babysitter
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