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cur-data

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Understand AWS CUR data structure and analysis.

Data & Analytics#aws#data structure#reporting#cost analysis#cur#billing data
AuthorT-Klug
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides essential knowledge about the structure, column formats, and common analysis patterns for AWS Cost and Usage Reports (CUR), enabling users to effectively interpret and utilize their AWS billing data.

Core Features & Use Cases

  • File Format Understanding: Explains support for CSV, CSV.GZ, and Parquet formats.
  • Column Name Normalization: Details how canonical column names map to older and newer CUR formats.
  • Key Cost Metrics: Identifies crucial columns like unblended_cost, blended_cost, and net_unblended_cost.
  • Line Item Type Definitions: Clarifies the meaning of various line_item_type values.
  • Discount & Savings Plan Insights: Guides on identifying discounts and analyzing Savings Plan effectiveness.
  • Common Aggregations: Provides examples for grouping costs by service, account, date, and month.
  • Anomaly Detection: Explains the z-score method used for identifying unusual spending.
  • Mock Data Reference: Describes the structure and content of the mock data used for testing.

Quick Start

Explain the different AWS CUR file formats supported by the tool.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: cur-data
Download link: https://github.com/T-Klug/aws-cur-report-generator/archive/main.zip#cur-data

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