cloud-cost-analysis

Multi-cloud cost analysis and optimization expertise for FinOps practices

509 stars

Best use case

cloud-cost-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Multi-cloud cost analysis and optimization expertise for FinOps practices

Teams using cloud-cost-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/cloud-cost-analysis/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/devops-sre-platform/skills/cloud-cost-analysis/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/cloud-cost-analysis/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How cloud-cost-analysis Compares

Feature / Agentcloud-cost-analysisStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Multi-cloud cost analysis and optimization expertise for FinOps practices

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Cloud Cost Analysis Skill

## Overview

Specialized skill for multi-cloud cost analysis and optimization. Provides deep expertise in FinOps practices, cost visibility, and resource optimization across AWS, GCP, and Azure.

## Capabilities

### AWS Cost Analysis
- AWS Cost Explorer queries and analysis
- Cost and Usage Reports (CUR) interpretation
- Reserved Instance utilization analysis
- Savings Plans recommendations
- Spot Instance strategy evaluation
- AWS Budgets configuration

### GCP Cost Analysis
- GCP Billing export analysis
- Committed use discounts evaluation
- Preemptible/Spot VM strategy
- BigQuery cost analysis
- GCP Budget alerts setup
- Recommender API insights

### Azure Cost Analysis
- Azure Cost Management queries
- Reserved VM Instance analysis
- Azure Hybrid Benefit evaluation
- Spot VM recommendations
- Azure Budgets configuration
- Azure Advisor cost recommendations

### Resource Optimization
- Rightsizing recommendations
- Idle resource identification
- Storage tier optimization
- Network egress cost reduction
- Containerization cost benefits
- Serverless cost comparison

### Cost Allocation
- Tagging strategy design
- Cost allocation rules
- Showback/chargeback implementation
- Unit economics calculation
- Business unit attribution
- Project/team cost breakdown

### Forecasting and Budgeting
- Cost trend analysis
- Forecast modeling
- Budget threshold alerts
- Anomaly detection
- Capacity planning cost modeling

### Governance
- Cost policies and guardrails
- Approval workflows for expensive resources
- Spending limits enforcement
- FinOps maturity assessment
- KPI definition and tracking

## Target Processes

- `cost-optimization.js` - Cost optimization initiatives
- `auto-scaling.js` - Cost-aware scaling policies
- `iac-implementation.js` - Cost-tagged infrastructure

## Usage Context

This skill is invoked when processes require:
- Analyzing cloud spending across providers
- Identifying cost optimization opportunities
- Implementing cost allocation and tagging
- Setting up budgets and alerts
- Designing cost governance policies

## Dependencies

- AWS Cost Explorer API access
- GCP Billing API access
- Azure Cost Management API access
- Cloud provider credentials with billing read access

## Output Formats

- Cost analysis reports
- Optimization recommendations
- Tagging strategy documents
- Budget configurations
- FinOps dashboards
- Savings forecasts

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