Expert FinOps guidance for cloud, AI, SaaS and data-platform spend. Ask Claude how to reduce a bill, size a commitment, allocate shared costs or justify AI spend, and it answers with billing mechanics, decision rules and worked examples, not generic advice. Cloud: AWS, Azure, GCP, OCI, Kubernetes and on-premises or hybrid estates, including Savings Plans, Reserved Instances, Azure Hybrid Benefit and contract negotiation. AI: Anthropic, Bedrock, Azure OpenAI, Vertex AI, open-weight model APIs, AI coding tools, agent costs, self-hosted vs managed inference. Data platforms: Databricks, Snowflake, Microsoft Fabric. FinOps practice: allocation, showback and chargeback, forecasting, operating model, FOCUS multi-cloud cost data, tagging, anomalies, KPIs, workload onboarding, SaaS and IT asset management, GreenOps. Waste playbooks: 44 runbooks for waste patterns such as idle NAT gateways, orphaned disks, snapshot sprawl, unused reservations, oversized GPUs and coding-agent token waste. Each gives a detection query to run in your account, the fix, and a confidence level. Good to know: this plugin adds instructions only and does not connect to your cloud accounts. Open source (CC BY-SA 4.0), maintained by OptimNow and updated weekly.
Plugin cloud-finops from marketplace optimnow in OptimNow/cloud-finops-skills. Commands read from the repo's manifest — today.
cloud-finopsExpert FinOps guidance for cloud, AI, and SaaS technology spend. Covers AI cost management, agentic FinOps, GenAI capacity planning, self-hosted vs managed inference, Anthropic billing, open-weight vendor APIs (DeepSeek, Qwen, Kimi, GLM), AWS (EC2, Bedrock, SageMaker, Savings Plans, CUR), Azure (res
Delegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools (SQL analysis, column-level lineage, dbt build/test/run, warehouse profiling, FinOps, connectivity to Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, DuckDB).
2 skills · 4 commands · 1 agent · 1 MCP server · hooks
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.
1 skill · 12 commands · hooks
Optimize cloud costs and generate cost reports
1 skill · 1 command
Skill that has Codex check free tiers, programs, verified promo codes and cheaper alternatives before anything is bought, subscribed to or upgraded.
1 skill · hooks
Use this agent to scan AWS accounts for cost optimization opportunities. Features 173 automated checks across 11 domains with AWS Compute Optimizer ML integration, data transfer analysis, and reservation recommendations. Includes Zero Hallucination Pricing System with 21 anti-hallucination rules for accurate savings estimates. Examples:\n\n<example>\nContext: AWS bill is too high\nuser: "Our AWS costs are out of control. Can you find where we're wasting money?"\nassistant: "I'll scan your AWS account for cost optimization opportunities. Let me use the aws-cost-saver agent to run 173 automated checks across all services."\n<commentary>\nComprehensive scanning across compute, storage, database, and networking services to identify idle resources and over-provisioning.\n</commentary>\n</example>\n\n<example>\nContext: Monthly cost review\nuser: "We need to cut AWS costs by 30% this quarter"\nassistant: "I'll analyze your AWS account for savings opportunities. Let me use the aws-cost-saver agent to identify quick wins and calculate potential savings."\n<commentary>\nReal pricing data from AWS Cost Explorer ensures accurate savings estimates.\n</commentary>\n</example>\n\n<example>\nContext: EC2 rightsizing\nuser: "Are our EC2 instances properly sized?"\nassistant: "I'll check for over-provisioned and idle instances. Let me use the aws-cost-saver agent with Compute Optimizer ML to get rightsizing recommendations."\n<commentary>\nML-powered analysis from AWS Compute Optimizer provides data-driven recommendations.\n</commentary>\n</example>
1 agent
Microsoft FinOps toolkit plugin for AI-powered cloud financial management.
1 skill · 4 commands · 5 agents · 1 MCP server
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