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de-cost-optimization

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Cut DE cloud costs with measurable fixes

Software Engineering#cost optimization#trino#finops#spark#query analysis#storage lifecycle#de
Authorivanshamaev
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill solves runaway data engineering cloud spending by helping you pinpoint which queries, clusters, and storage decisions drive the highest cost—and then apply targeted reductions.

Core Features & Use Cases

  • Query and workload cost analysis for Trino/Presto, Spark, ClickHouse, and BigQuery using explain/planner signals and system query history.
  • Compute right-sizing and cluster efficiency through executor sizing, CPU utilization checks, autoscaling, and spot/preemptible strategy (with checkpointing considerations).
  • Storage and data layout optimization using partition pruning, file sizing/compaction, Z-order/clustering, materialized view economics, and lifecycle tiering.
  • FinOps cost governance with tagging, attribution, and budget alerts to produce a prioritized cost-reduction plan.

Quick Start

Ask the agent to analyze your last 7 days of Trino query history and then recommend the top 3 partitioning/clustering and compute right-sizing changes to reduce billed bytes and cluster runtime cost.

Dependency Matrix

Required Modules

None required

Components

Standard package

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Please help me install this Skill:
Name: de-cost-optimization
Download link: https://github.com/ivanshamaev/de-agent-skills/archive/main.zip#de-cost-optimization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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