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Finance & Compliance

Cost Optimizer

Cost Optimizer scans spend patterns and turns them into a prioritized list of savings opportunities. It helps teams understand where money is leaking, what changes would matter most, and how to communicate those recommendations clearly. Engineering leaders, finance operators, and platform teams benefit when cloud and AI costs are growing faster than visibility. The skill is useful for recurring optimization reviews, budget conversations, and identifying quick wins without manually digging through every line item. Its production-grade advantage is prioritization. The output emphasizes ranked recommendations, projected savings, and a concise summary so the review can drive real action rather than producing another dense cost report.

Nexus CertifiedClaude CodeCodexOpenClawGoogle Antigravity
finopscost-optimizationcloudai-spendsavings

One-Time Purchase

$19.99

Sample Output

Cost Optimization Brief — NovaTech Solutions

Reviewed spend: $127,400 across compute, database, and AI/LLM line items last month.

Headline

Four ranked moves recover $18,200/month ($218,400/year) against current run-rate. Two of them — a model swap on the classification pipeline and idle-EBS cleanup — land within two weeks at low risk. The 1-year EC2 Savings Plan is the biggest single line item but only makes sense after the rightsizing finishes.

$18.2K / mo

Total projected reduction at full execution. $8.6K of that is committable in the first 14 days; the remaining $9.6K depends on the rightsizing landing cleanly so the Savings Plan covers steady-state, not pre-rightsize peaks.


Ranked Opportunities

#OpportunityCategoryMonthly SavingsPriorityRisk
1Switch classification pipeline GPT-4o → GPT-4o-miniAI/LLM$4,200P0Low
2Rightsize 3 RDS instances (db.r6g.xlarge → db.r6g.large)Database$3,560P1Medium
3Delete 14 unattached EBS volumesCompute$840P0Low
41-year Savings Plan on stable EC2 fleetCompute$9,600P1Low
5Enable prompt caching on support-ticket Claude callsAI/LLM$960P2Low

Before / After — Classification Pipeline

Current

GPT-4o on every classification call

~2.1M calls/mo, avg 600 input tokens

Monthly spend$7,800
Eval accuracy (500-sample)92.4%
p50 latency~840ms
$93.6Kannualized run-rate

Proposed

GPT-4o-mini routed to same prompt

Fallback to GPT-4o if confidence < 0.7

Monthly spend$3,600
Eval accuracy (500-sample)92.1%
p50 latency~310ms
$43.2Kannualized run-rate

The 500-sample re-eval was run against the same labeled fixture the team used at GA. Accuracy drift was 0.3 points — inside measurement noise. The confidence-gated fallback protects the edge cases.


Risk of Action

RDS rightsizing

Maintenance window required. The three instances chosen have p99 CPU under 35% over the trailing 90 days, but two of them spike on the monthly close job. Schedule the resize for the first week of the cycle, not the last.

Savings Plan timing

Buying the Savings Plan before the rightsizing completes locks in commitment to current oversized instances. Sequence: rightsize first, run two weeks at the new shape to confirm steady-state, then commit.

EBS cleanup

All 14 volumes have been detached for 60+ days and have no associated snapshots tagged for retention. Confirm with the platform team that nothing in the disaster-recovery runbook references these volume IDs before deletion.


Recommended Sequence

Four-week rollout

Delete 14 idle EBS volumes; ship classification model swap behind feature flag at 10% trafficWeek 1
Ramp model swap to 100%; schedule RDS rightsizing for off-peak windowWeek 2
Execute RDS rightsizing; enable prompt caching on Claude support flowWeek 3
Confirm RDS steady-state metrics; purchase 1-year EC2 Savings PlanWeek 4

This sample illustrates the skill's output format. Figures are illustrative; ClearPoint Nexus is not affiliated with the companies named.

View full sample →

All sales final. No refunds on digital products.

Includes support for Claude Code, Codex, OpenClaw, and Google Antigravity in the same license.

Also in FinOps & Compliance

Bundle price: $55. Compare this skill with the full workflow bundle or Pro access.

Best for

Engineering leaders and platform teams running a quarterly FinOps review on AWS, GCP, or Azure spend in the $20K–$500K monthly range, and AI engineering leads watching their OpenAI / Anthropic bill creep past a comfort threshold. Most useful when the team can act on prioritized recommendations — reserved instances, idle resources, model-tier downgrades — within the next sprint.

Not ideal for

Startups still at hobby-level cloud spend (under a few hundred dollars per month) where the optimization findings are smaller than the time spent reading them. Also a poor fit for fixed-price hosting (Vercel team plan, Heroku) where there are no real levers to pull.

Included in this purchase

  • Claude Code, Codex, OpenClaw, and Google Antigravity skill files.
  • Setup guidance for the right adapter in your workspace.
  • One-time license for the purchased skill version.

Setup

Plan for a short copy-and-configure setup in your preferred agent workspace. No custom integration is required for the skill file itself.

Claude CodeCodexOpenClawGoogle Antigravity

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Future Updates

This purchase includes the current version of the skill. If you want future adapter updates — meaning compatibility and packaging updates as supported platforms evolve — plus new catalog additions included automatically, upgrade to Pro.

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