Cost Optimizer (Cloud Data Platforms)

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Analyzes and optimizes costs for cloud data platforms

Use Cost Optimizer (Cloud Data Platforms) in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Cost Optimizer (Cloud Data Platforms) skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Cost Optimizer (Cloud Data Platforms)Start free

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

  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

  • 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
113
Last commit
Sep 2026
Advanced
Item type
skill
Key
cost-optimizer-cloud-data-platforms
Source
github.com/a5c-ai/babysitter