A comprehensive analysis tool for multi-cloud spend that identifies idle resources and generates actionable, prioritized savings plans.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install finops-cloud-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install finops-cloud-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is FinOps Cloud Optimizer?
The FinOps Cloud Optimizer is a sophisticated technical agent designed to streamline financial operations across AWS, GCP, and Azure. By utilizing Openclaw Skills, this tool automates the tedious process of auditing billing data and resource utilization. It enables developers and financial teams to identify hidden costs, from unattached storage to inefficient networking configurations, providing a clear path to significant monthly savings without compromising application reliability. This skill is particularly valuable for organizations where cloud bills are scaling faster than revenue and require a structured approach to waste elimination.
FinOps Cloud Optimizer Use Cases
- Periodic cloud cost audits to identify spending anomalies and top cost drivers.
- Automated infrastructure rightsizing to align provisioned capacity with actual workload demands.
- Inventory cleanup of orphaned resources like unattached EBS volumes, stale snapshots, and unused Elastic IPs.
- Evaluation of reservation and commitment strategies to maximize discounts via Reserved Instances or Savings Plans.
- Strategy development for storage lifecycle management and network cost reduction through VPC endpoints.
How FinOps Cloud Optimizer Works
- Data Collection: Authenticate with cloud APIs or ingest billing exports to gather historical spend data across providers.
- Spend Profiling: Categorize costs by service, account, and tag to identify the primary cost drivers where savings potential is highest.
- Idle Resource Detection: Scan the environment for unassociated, stopped, or orphaned resources that are still incurring charges.
- Utilization Analysis: Compare performance metrics (Avg/Max CPU) against instance sizes to determine rightsizing opportunities.
- Commitment Planning: Analyze steady-state usage patterns to recommend optimal Reserved Instance or Savings Plan purchases.
- Roadmap Generation: Synthesize findings into a prioritized plan categorized by implementation effort and projected savings impact.
FinOps Cloud Optimizer Setup
To get started with this skill, ensure your local environment has the necessary cloud CLI tools configured and authenticated for your specific provider.
# Verify AWS Cost Explorer access
aws ce get-cost-and-usage --time-period Start=2026-04-01,End=2026-04-30 --granularity MONTHLY --metrics BlendedCost
# Verify GCP Billing access via BigQuery export
bq query --nouse_legacy_sql 'SELECT 1 FROM `project.dataset.gcp_billing_export_v1_*` LIMIT 1'
# Verify Azure Consumption access
az consumption usage list --top 1
FinOps Cloud Optimizer Data Schema & Taxonomy
The skill generates a structured output to facilitate decision-making and implementation tracking:
| Output Component | Description |
|---|---|
| Cost Dashboard | Breakdown of monthly trends, top 10 services, and cost per team/environment. |
| Waste Inventory | Exhaustive list of idle resources with monthly cost and recommended cleanup actions. |
| Rightsizing Report | Instance-by-instance recommendations based on a 14-day utilization lookback. |
| Savings Plan | Prioritized roadmap of changes categorized into Quick Wins, Medium Effort, and Strategic tiers. |
| Tracking CSV | A machine-readable file for project management, including projected vs. actual savings. |
FinOps Cloud Optimizer Advanced Features
- Support for Graviton and ARM-based instance migration recommendations for 20% compute efficiency gains.
- Comprehensive networking audit covering NAT Gateways, VPC peering, and data transfer egress optimization using Openclaw Skills.
- Automated S3, GCS, and Azure Blob Storage lifecycle policy generation for intelligent data tiering.
- Multi-cloud coverage within a single unified workflow, allowing for cross-cloud financial benchmarks.
- Integration with Kubernetes cost management strategies like Karpenter for dynamic node rightsizing.
SKILL.md
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