Use when proactively scanning for cost anomalies, unusual spending, unexpected charges, or irregular patterns — during weekly reviews, after incidents, or when something looks off
cost-comparison
Use when comparing costs between time periods, environments, accounts, regions, or teams to understand spending differences and identify inefficiencies
cost-projection
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.
cost-spike-investigation
Use when a cost spike or unexpected increase has already been identified and you need to find which service, account, or resource is responsible
cost-trend-analysis
Use when analyzing whether costs are growing, declining, or stable over time — for forecasting, budget planning, or understanding spending velocity
custom-dimension-analysis
Use when analyzing costs by organization-specific dimensions like teams, products, business units, or applications for showback, chargeback, or business-aligned cost reporting
diff-cost-projection
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.
optimize-triage
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.
service-cost-deep-dive
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
tag-coverage-analysis
Use when evaluating how well cloud resources are tagged for cost allocation — to find untagged costs, improve showback accuracy, or prepare for chargeback reporting
top-cost-drivers
Use when identifying where cloud spend is concentrated — which services, accounts, teams, or regions are driving the most cost — to prioritize optimization efforts
understand-cloudzero-organization
Use at the start of any CloudZero cost analysis session to load organization-specific context — custom dimensions, team structures, cost allocation policies, and workflows
MCP servers (1)
cloudzero
connects to: https://czca-server.discovery.cloudzero.com/mcp
Model-selection economist agent for Claude Code: decides which Claude model (and effort/token budget) each task in a flow should run on by weighing effectiveness need against efficiency pressure and difficulty, bookended around a build as a right-sizing blueprint and a closing usage report -- with token_ceiling itself computed deterministically from six rated real-work signals, not free-handed. Ships with eleven companion skills: installing the standing before/after mandate in a target repo, previewing the routing map for an intent without building anything, retroactively auditing every real model call already shipped in a target repo, prescribing a minimal output schema for one agent's handoff to its controller, guarding token budgets and the routing-map status ledger while work is in flight, validating candidate real-work signals and studying/tuning the agent's research-grounded layers, and publishing dated release/research reports.
MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint
Cut LLM API spend via model routing, prompt caching, prompt compression, and per-feature cost observability. Use when AI costs are too high, choosing between models, or launching an AI feature without cost architecture. NOT for RAG design or prompt quality (separate skills).
Per-stage model routing + pre-flight cost gate for Claude Code ultracode dynamic workflows. Pins an explicit model + effort on every agent() subagent stage, estimates cost before launch, and ships a static guard + PreToolUse gate that flag stages which would silently inherit the session's Opus model. Zero dependencies, no telemetry, MIT.
AKS operational skills for troubleshooting, advanced cost-efficiency analysis, known issues, GPU inference, and packet capture.
6 skills
microsoft/skills 3,200
Maintain cost-analyst?
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