Finops Expert

This gives Claude the tools to analyze cloud costs and optimize your AWS spending. It includes Python classes for pulling Cost Explorer data, finding idle resources like unattached EBS volumes and stopped instances, and calculating Reserved Instance savings. The code is production-ready with methods for rightsizing recommendations, cost forecasting, and tagging strategies for cost allocation. Best for teams that need to programmatically audit cloud spend rather than just clicking through the AWS console. The FinOps fundamentals are solid, covering the usual suspects like Savings Plans and spot instances, though the pricing data is simplified and you'll want to plug in the actual AWS Pricing API for real numbers.

skills.sh installs: 236
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill finops-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

FinOps Expert

Expert guidance for cloud financial operations, cost optimization, resource management, and cloud economics.

Core Concepts

FinOps Fundamentals

Cloud cost visibility
Usage optimization
Rate optimization
Architecture optimization
Cloud unit economics
Showback and chargeback

Cost Management

Reserved Instances (RIs)
Savings Plans
Spot instances
Right-sizing resources
Idle resource cleanup
Storage lifecycle policies

FinOps Practices

Tagging strategies
Budgets and alerts
Cost allocation
Forecasting and planning
Cross-team collaboration
Continuous optimization

AWS Cost Analysis

import boto3
from datetime import datetime, timedelta
from typing import Dict, List
import pandas as pd

class AWSCostAnalyzer:
    """Analyze AWS costs using Cost Explorer API"""

    def __init__(self):
        self.ce_client = boto3.client('ce')

SKILL.md on GitHub