cloudzero-claude-marketplace

Use when evaluating how well cloud resources are tagged for cost allocation — to find untagged costs, improve showback accuracy, or prepare for chargeback reporting

Use when you need a detailed breakdown of a specific cloud service's costs — EC2, RDS, S3, Lambda, etc. — to understand usage patterns and find optimization opportunities

Use at the start of any CloudZero cost analysis session to load organization-specific context — custom dimensions, team structures, cost allocation policies, and workflows

Analyze code diffs for infrastructure cost impact using CloudZero spend data. Detects Terraform, CDK, CloudFormation, SAM, K8s, scaling, and application code changes that affect cloud spending.

Project the monthly cost of an infrastructure definition (Terraform, CDK, CloudFormation, SAM) using CloudZero spend data. Reads IaC files, enumerates resources, and produces a line-item cost breakdown.

Use when identifying where cloud spend is concentrated — which services, accounts, teams, or regions are driving the most cost — to prioritize optimization efforts

Fetch top unaddressed CloudZero Optimize recommendations, dispatch parallel research agents per item, apply SRE critique, and surface actionable findings with confidence verdicts and per-resource report files. Read-only research only.

Use when analyzing costs by organization-specific dimensions like teams, products, business units, or applications for showback, chargeback, or business-aligned cost reporting

Use when comparing costs between time periods, environments, accounts, regions, or teams to understand spending differences and identify inefficiencies

Use when proactively scanning for cost anomalies, unusual spending, unexpected charges, or irregular patterns — during weekly reviews, after incidents, or when something looks off

Use when a cost spike or unexpected increase has already been identified and you need to find which service, account, or resource is responsible

Use when analyzing whether costs are growing, declining, or stable over time — for forecasting, budget planning, or understanding spending velocity