Expert FinOps guidance covering cloud, AI, and SaaS technology spend. Includes AI cost management, GenAI capacity planning, self-hosted vs managed inference, Anthropic billing, AWS (EC2, Bedrock, SageMaker, GPU rightsizing, Savings Plans, CUR, commitment strategy), Azure (reservations, Savings Plans, AHB, OpenAI PTUs, portfolio liquidity), GCP (Vertex AI, Compute Engine, BigQuery), tagging governance, SaaS management (SAM, licence optimisation, SMPs, shadow IT), AI coding tools (Cursor, Claude Code, Copilot, Windsurf, Codex), ITAM, data platforms (Databricks allocation and governance with DBCU commitments, Microsoft Fabric capacity FinOps with F-SKUs, CU smoothing, reservations, pause/resume, Pro-to-Fabric migration), Snowflake, OCI, and GreenOps (AWS Sustainability Console, CSRD). Use for any query about technology cost, commitment portfolio management, rightsizing, cost allocation, SaaS sprawl, AI dev tool spend, or connecting spend to business value. Built by OptimNow.
$npx -y skills add optimnow/cloud-finops-skills --skill cloud-finopsInstalls into the current project.
Run `npx skills use "https://github.com/optimnow/cloud-finops-skills" --skill "optimnow/cloud-finops-skills/cloud-finops"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/optimnow/cloud-finops-skills" that are relevant to the current task. Run `npx skills add "https://github.com/optimnow/cloud-finops-skills"` and select the relevant skills, then follow their instructions.