By tonone-ai
Surveys AWS cloud cost controls including tagging coverage, cost alerts, and FinOps maturity to help teams assess their cloud cost governance.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin finop-reconDesign and build networking infrastructure — VPCs, subnets, DNS, load balancers, firewall rules. Use when asked to "set up networking", "VPC design", "configure DNS", "load balancer setup", "network architecture", or "firewall rules".
Generate onboarding documentation — what this project does, how to set up locally, where things live, key decisions, how to deploy. Written for day-one engineers who know nothing. Use when asked for "onboarding docs", "new engineer guide", "how to get started", or "developer setup".
Implement a reusable, accessible, typed component from a design spec. Use when asked to "create a component", "build a widget", "implement this design", or "reusable UI element".
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
ML reconnaissance — inventory all models, pipelines, data sources, and monitoring. Use when asked "what ML do we have", "model inventory", or "ML assessment".
Infrastructure Specialist Team — Finop: Cloud cost optimization — FinOps practices, rightsizing, reservation strategy, cost attribution
DevsForge cloud cost optimization specialist for analyzing and reducing infrastructure expenses
Optimize cloud costs and generate cost reports
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
Expert FinOps guidance for cloud, AI, SaaS, and data-platform spend. Reference files spanning AWS (incl. SageMaker operational FinOps and GPU instance rightsizing), Azure, GCP, Anthropic, Bedrock, Azure OpenAI, Vertex AI, Databricks, Microsoft Fabric, Snowflake, OCI, AI coding tools, FinOps Framework 2024+2026, GreenOps (AWS Sustainability Console, CSRD engagement framing), self-hosted vs managed AI inference decisioning, anomaly management, allocation and showback, chargeback (incl. Finance and accounting prerequisites), onboarding workloads (migration-time cost hygiene + M&A), Kubernetes (cross-cluster EKS/GKE/AKS discipline), waste-detection playbooks (seven-category taxonomy backed by OptimNow's WasteLine appliance) plus RAG-friendly named-pattern playbooks across AWS, Azure, GCP and cross-cloud (incl. SageMaker idle endpoint, notebook auto-shutdown, MME consolidation, oversized GPU, multi-GPU underutilization, MIG candidate, GPU for CPU-bound workload, outdated GPU generation), SaaS asset management, and ITAM. Open source, model-agnostic, refreshed monthly.
Ask your AWS, Azure, GCP, Kubernetes, and SaaS bill, inside Claude. 180+ tools (read-only analysis; remediation drafts PRs for human approval) for cost queries, anomaly detection, rightsizing, and PRs. Runs on your machine; credentials stay on your machine.