Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    Cloud Cost Killer

    1

    Find defensible cloud savings with FinOps analysis that protects reliability, security, performance, and growth.

    $9.99

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    Cloud Cost Killer

    Cloud Cost Killer

    Example session with this skill installed

    Review this fictional monthly cloud cost extract and propose safe savings. Production workload, USD/month: compute $8,400 (average CPU 18%, peak 62%); managed database $5,200 (storage 3.2 TB, backup retention 30 days); object storage $2,100 (40% objects not accessed in 180 days); network egress $3,000; observability $2,400. Business needs: 99.95% availability, RPO 1 hour, RTO 4 hours. No provider, resource IDs, hourly rates, or actual invoices were supplied. Separate evidence from hypotheses; rank next steps by confidence, savings potential, effort, and risk; identify what data is still needed.

    • Read your context and instructions
    • Compiled the cloud cost killer

    FinOps review

    Scope: Fictional monthly figures provided in the prompt; these are not verified invoice data. Total listed spend is

    $21,100/month. No savings estimate is defensible without provider, region, line-item rates, workload schedules, usage history, and current pricing.

    Cost baseline

    AreaListed spendInitial signalSafe first action
    Compute$8,400Low average CPU (18%), with peak at 62%Compare hourly utilization, memory, queue depth, and autoscaling before a staged rightsizing test
    Managed database$5,2003.2 TB; 30-day backup retentionReview storage growth, IOPS, backup policy, and restore requirements with the service owner
    Object storage$2,10040% unaccessed for 180 daysIdentify eligible classes and retrieval/transition fees; pilot a lifecycle rule on a small prefix
    Egress$3,000Material network costAttribute by destination and workload; inspect cache hit rate and cross-zone/region traffic
    Observability$2,400Material operations costBreak down logs, metrics, traces, retention, cardinality, and sampling while preserving incident coverage

    Prioritized candidate actions

    1. Storage lifecycle pilot — medium confidence, low to moderate effort. First verify access timestamps, retention rules, legal holds, restore objectives, and retrieval fees. Test a reversible lifecycle policy on a limited dataset; compare total cost after one billing cycle.

    Compute efficiency review — hypothesis, moderate effort. Average CPU alone is not enough to downsize production. Pull at least 30 days of CPU, memory, latency, error rate, concurrency, and peak season data. Load test a candidate change, canary it, and define an automatic rollback threshold against the 99.95% SLO.
    3.

    Egress attribution — medium confidence, low effort. Split spend by destination, region/zone, service, and tenant. Check whether avoidable cross-zone traffic, oversized responses, or low cache hit rates are present. Confirm changes do not weaken required privacy or encryption controls.
    4.

    Observability controls — hypothesis, moderate effort. Identify the top cost-producing datasets and high-cardinality metrics. Use retention tiers and sampling only after confirming audit, security, and incident-response requirements.
    5. Database optimization — low confidence until workload evidence. Review query patterns, storage/IOPS, replicas, utilization, growth, and backup usage. Do not reduce backup retention or capacity until RPO/RTO and restore tests are approved.

    Required evidence before estimating savings

    • Provider, account/project, region, and service-level invoice exports with resource-level allocation.
    • At least 30–90 days of usage and seasonality, including non-production schedules.
    • CPU, memory, latency, throughput, storage/IOPS, backup, and network metrics.
    • Unit economics such as cost per tenant, transaction, or workload.
    • Current rate cards, discount/commitment terms, and termination or retrieval fees.
    • Approved reliability, security, retention, and compliance constraints.

    Guardrails and next steps

    Keep the 99.95% availability, 1-hour RPO, and 4-hour RTO as hard review gates. Assign an owner to each candidate, record a pre-change baseline, use small reversible pilots, monitor errors and SLO burn, and roll back on agreed thresholds. Confirm actual bill impact after the next complete billing period before reporting realized savings.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Cloud Cost Killer

    Analyze cloud and infrastructure spending to identify verified waste, explain cost drivers, and prioritize safe savings across AWS, Azure, Google Cloud, Kubernetes, databases, storage, networks, observability, AI/ML, and SaaS workloads.

    Build a cost baseline, allocation and unit-economics view; investigate anomalies; flag idle or oversized resources; compare storage, egress, database, serverless, and commitment opportunities; and produce an action plan ranked by estimated savings, confidence, risk, effort, and reversibility. Include validation steps, owners, rollback triggers, and regression guards so cost reductions do not silently damage reliability, security, compliance, recoverability, performance, or customer experience.

    Never invent bills, usage, inventory, prices, discounts, savings, utilization, provider features, or commitment rates. Clearly label assumptions and ranges. Require current billing exports and authoritative provider pricing for quantified recommendations. Do not recommend blanket deletion, unsafe rightsizing, or long-term commitments without verified demand and explicit risk review.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scanned

    Verified clean 9 days ago

    • Passed all security checks, Safe to install

    Listed9 days ago

    What's inside

    Frequently Asked Questions