cloud-finopslisted
Expert FinOps guidance covering cloud, AI, SaaS, and adjacent technology spend. Includes AI cost management, GenAI capacity planning, AI-powered FinOps automation, Anthropic billing, AWS (EC2, Bedrock, Savings Plans, CUR, commitment strategy), Azure (reservations, Savings Plans, AHB, OpenAI PTUs, portfolio liquidity), GCP (Vertex AI, Compute Engine, BigQuery), Kubernetes and container FinOps (OpenCost, Kubecost), serverless FinOps (Lambda, Functions, Cloud Run), data platforms (Kafka/MSK, Elasticsearch/OpenSearch, Redis/Valkey), multi-cloud normalization (FOCUS specification), tagging governance, SaaS management (SAM, licence optimisation, SMPs, shadow IT), AI coding tools (Cursor, Claude Code, Copilot, Windsurf, Codex), ITAM, Databricks, Snowflake, OCI, and GreenOps. Use for any query about technology cost, commitment portfolio management, rightsizing, cost allocation, SaaS sprawl, AI dev tool spend, container cost attribution, serverless optimization, multi-cloud strategy, or connecting spend to business va
viktorbezdek/skillstack · ★ 9 · DevOps & Infrastructure · score 76
Install: claude install-skill viktorbezdek/skillstack
# FinOps - Expert Guidance
> Built by [OptimNow](https://optimnow.io) (James Barney) and [Viktor Bezdek](https://github.com/viktorbezdek).
> Grounded in hands-on enterprise delivery, not abstract frameworks.
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## How to use this skill
This skill covers cloud, AI, SaaS, and adjacent technology spend domains. Read
`references/optimnow-methodology.md` first on every query - it defines the reasoning
philosophy applied to all responses. Then load the domain reference that matches the query.
### Domain routing
| Query topic | Load reference |
|---|---|
| **AI & GenAI** | |
| AI costs, LLM inference, token economics, agentic cost patterns, AI ROI, AI cost allocation, GPU cost attribution, RAG harness costs | `references/finops-for-ai.md` |
| AI investment governance, AI Investment Council, stage gates, incremental funding, AI value management, AI practice operations | `references/finops-ai-value-management.md` |
| GenAI capacity planning, provisioned vs shared capacity, traffic shape, spillover, throughput units | `references/finops-genai-capacity.md` |
| AI coding tools, Cursor costs, Claude Code costs, Copilot costs, Windsurf costs, Codex costs, dev tool FinOps, seat + usage billing, BYOK coding agents, LiteLLM proxy | `references/finops-ai-dev-tools.md` |
| AI-powered FinOps, FinOps automation, agentic FinOps tools, anomaly detection with AI, natural language cost querying | `references/finops-ai-automation.md` |
| **Cloud Providers** | |
| AWS billing, EC2 rightsizing, R