Agent Skills: SaaS/PaaS Cost Optimization

Audits SaaS/PaaS, cloud commitment, and AI/LLM costs across Vercel, Supabase, AWS, and Cloudflare. Use when analyzing bills, right-sizing plans, or buying commitments.

UncategorizedID: vasilyu1983/ai-agents-public/ops-cost-optimization

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pnpm dlx add-skill https://github.com/vasilyu1983/AI-Agents-public/tree/HEAD/frameworks/shared-skills/skills/ops-cost-optimization

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frameworks/shared-skills/skills/ops-cost-optimization/SKILL.md

Skill Metadata

Name
ops-cost-optimization
Description
"Audits SaaS/PaaS, cloud commitment, and AI/LLM costs across Vercel, Supabase, AWS, and Cloudflare. Use when analyzing bills, right-sizing plans, or buying commitments."

SaaS/PaaS Cost Optimization

Use this skill to audit, reduce, and monitor infrastructure and SaaS spending. Keep the output operational: cost breakdown, waste identification, optimization actions, and monitoring setup.

Quick Reference

| Need | Starting Reference | Notes | |------|--------------------|-------| | audit Vercel bill | references/vercel-cost-guide.md | ISR, Functions, Fast Origin Transfer, Image Optimization | | audit Supabase bill | references/supabase-cost-guide.md | compute, storage, bandwidth, Auth MAUs, Edge Functions | | audit email costs | references/resend-cost-guide.md | volume tiers, batch efficiency, domain warm-up | | audit domain costs | references/domain-registrar-cost-guide.md | GoDaddy vs Cloudflare vs Namecheap, transfer savings | | audit payment processing | references/stripe-cost-guide.md | transaction fees, Radar, Billing, volume negotiation | | audit AI API spend | references/ai-api-cost-guide.md | Claude, GPT, prompt caching, batch API, model routing | | audit CI/CD costs | references/github-cicd-cost-guide.md | Actions minutes, Copilot, Codespaces, hosting alternatives | | audit monitoring costs | references/monitoring-analytics-cost-guide.md | PostHog, Sentry, Datadog, free tier maximization | | audit CDN/edge costs | references/cloudflare-cost-guide.md | Workers, R2, Pages, DNS, free tier scope | | decide on AWS/GCP/Azure commitments or K8s cost allocation | references/cloud-commitment-and-k8s-cost-guide.md | Savings Plans vs RIs vs Spot, CUDs, Azure Reservations, when NOT to commit, OpenCost/Kubecost, GPU capacity | | set up cost monitoring | references/cost-monitoring-setup.md | budget alerts, review cadence, annual cost calendar, FOCUS normalization | | track unit economics | references/unit-economics-guide.md | cost per customer/feature/request, ARPC tracking, FOCUS standard | | IaC cost guardrails in CI | references/github-cicd-cost-guide.md | Infracost PR diffs, budget-threshold merge gates | | monthly cost review | assets/monthly-cost-review-checklist.md | reusable review template | | automated cost audit from billing data | agents/cost-auditor.md | parses screenshots/API data, ranks top 5 cost drivers, outputs prioritized actions |

Workflow

  1. inventory — list all paid services, current plans, billing cycles, and monthly spend
  2. audit — for each service: pull usage data, compare to plan limits, identify top cost drivers by dollar amount
  3. diagnose — classify each cost line:
    • necessary: directly supports revenue or product function
    • reducible: supports function but can be lowered via architecture or configuration
    • wasteful: unused, over-provisioned, or cheaper alternative exists
  4. optimize — load the platform-specific reference file and apply the highest-impact tactics first
  5. monitor — set up budget alerts, usage dashboards, and a monthly review cadence using references/cost-monitoring-setup.md

ASCII Flow

Cost concern or bill review
  -> Inventory paid services, owners, plans, cycles, and spend
  -> Rank cost lines by monthly dollar impact
  -> Classify each line
     +-- necessary -> protect and monitor
     +-- reducible -> tune architecture, usage, seats, or plan tier
     +-- wasteful -> cancel, consolidate, or downgrade
  -> Load platform guide for top drivers
  -> Apply highest-impact optimizations first
  -> Add budget alerts, dashboards, and monthly review cadence

Decision Rules

  • start with the highest-cost service and work down
  • distinguish usage-based charges (optimizable) from flat subscriptions (right-size or cancel)
  • check if the free tier covers actual usage before paying for a plan
  • prefer architecture changes (caching, CDN, SSG, on-demand ISR) over plan upgrades
  • compare annual vs monthly pricing — annual often saves 15-20%
  • consolidate services when one platform covers multiple needs (e.g., Cloudflare for DNS + CDN + storage)
  • never optimize a $2/month line before a $20/month line
  • when in doubt, measure for one billing cycle before cutting
  • never buy a commitment (Savings Plan, RI, CUD, Reservation) against usage that hasn't been stable for 4-6+ weeks, or during an active migration/re-platform — see references/cloud-commitment-and-k8s-cost-guide.md
  • separate zero-risk waste elimination from margin/durability trade-offs before cutting — a cut that reduces headroom or DR posture needs an explicit risk owner, not just a plan-tier downgrade
  • weigh implementation and ongoing operational cost (engineer-time, new on-call burden) against savings before recommending a migration — a cheaper service that costs six weeks to adopt often doesn't pay back for a year

Cost Categories

| Category | Examples | Optimization Lever | |----------|----------|--------------------| | compute | Vercel Functions, Supabase database, edge workers | reduce invocations, optimize cold starts, right-size memory | | bandwidth | Fast Origin Transfer, database egress, CDN transfer | caching, compression, image optimization, SSG | | storage | Supabase storage, R2, S3, blob stores | lifecycle policies, compression, deduplication | | per-request | ISR writes/reads, API calls, email sends | batching, caching, debouncing, on-demand invalidation | | subscriptions | Pro plans, seats, add-ons | right-size plan tier, remove unused seats/add-ons | | transaction fees | Stripe processing, dispute fees | volume negotiation, reduce disputes, batch payouts | | AI tokens | Claude API, OpenAI API, fine-tuning, self-hosted GPU inference | prompt caching, model routing, batch API, shorter prompts, spot/reserved GPU capacity | | cloud commitments | AWS Savings Plans/RIs, GCP CUDs, Azure Reservations | commit only against a verified stable usage floor, layer flexible + rigid instruments, never commit mid-migration | | K8s cluster cost | shared node pools, control plane, storage, load balancers | namespace/label cost allocation (OpenCost/Kubecost), request-vs-usage rightsizing |

When to Use This Skill

  • monthly bill is higher than expected and you want to find what's driving it
  • launching new projects and want to forecast infrastructure costs
  • comparing free tier vs paid tier for a service
  • setting up cost alerts and budget monitoring
  • annual cost review and plan right-sizing
  • evaluating whether to switch or consolidate services
  • deciding whether to buy a Savings Plan, Reserved Instance, or Committed Use Discount, and how much
  • allocating shared Kubernetes cluster cost back to teams or features
  • governing AI/LLM spend before a new model-backed feature ships

Route Elsewhere


Optimization Playbook

Quick wins (do first)

  • remove unused projects, environments, and preview deployments
  • switch time-based ISR revalidation to on-demand revalidation
  • enable image optimization and compression
  • check for services still on paid plans but no longer used
  • consolidate DNS to a provider that includes it free (Cloudflare)

Architecture changes (do next)

  • move static content to CDN or SSG to reduce function invocations
  • add response caching at edge to reduce origin transfer
  • batch API calls and email sends instead of per-request
  • use prompt caching for repeated AI API calls
  • implement connection pooling to reduce database compute

Plan optimization (do quarterly)

  • compare current usage against plan tier limits
  • evaluate annual vs monthly billing
  • check if usage has dropped below the free tier threshold
  • negotiate volume pricing when crossing tier boundaries
  • remove unused seats and add-ons

Anti-Patterns

  • optimizing $1 costs while ignoring $50 costs
  • switching to a cheaper service without accounting for migration effort
  • cutting costs that directly support revenue-generating features
  • skipping monitoring setup — costs drift back up within months
  • over-provisioning "just in case" without measuring actual usage
  • paying for annual plans on services you might stop using

Navigation

Platform references

Cross-platform

Agents

Related Skills

Fact-Checking

  • Verify current pricing, tier limits, and free-tier inclusions before final recommendations.
  • Pricing changes frequently — prefer official pricing pages over cached knowledge.
  • If web access is unavailable, mark pricing-sensitive guidance as unverified and include the official pricing URL from data/sources.json.

Learnings Loop

Before applying this skill on a non-trivial task, read learnings.consolidated.md in this directory (and learnings.md if present).

After applying it, if you encountered a pattern worth remembering, a mistake worth preventing, or a domain fact that surprised you, append one dated bullet to learnings.md via agents-skills-feedback-loop/scripts/append_learning.py. Do not modify SKILL.md itself.