cloud-finops

What problem does it solve?

Organisations struggle to connect cloud, AI, and SaaS technology spend to business value because billing surfaces are fragmented, pricing models are complex, and unit economics are often invisible. This Skill provides a structured, reference-driven approach to diagnose cost drivers, establish attribution, and recommend operational controls that reduce waste and align spend to outcomes. It emphasises progressive recommendations (quick wins first), strong guardrails for autonomous actions, and mapping cost to business metrics.

Core Features & Use Cases

• Domain routing: Loads targeted references for AI costs, provider-specific billing (AWS, Azure, GCP, Anthropic, Bedrock, Vertex), container/serverless, data platforms, and SaaS management.
• Diagnostic-first reasoning: Stepwise sequence to load methodology, diagnose current state, and prescribe prioritized actions (Inform → Optimize → Operate).
• Commitment & capacity guidance: Decision trees and phased purchasing frameworks for Savings Plans, PTUs, reservations, and portfolio liquidity.
• AI & GenAI cost patterns: Detect long-context pricing cliffs, Fast mode risks, agentic loops, prompt caching, and model routing levers.
• Governance checklists: Implementation and guardrail checklists for safe automation, auditability, and unit-economics tracking.

Quick Start

Activate the cloud-finops skill and ask it to review your cloud, AI, and SaaS spend and produce a prioritized FinOps action plan with quick wins, commitment recommendations, and a 90-day roadmap.