mcpbeat

Cost Optimization Patterns

vibeeval/cost-optimization-patterns

Cloud cost optimization, token/API cost tracking, build time optimization, and FinOps patterns

685 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
521
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/vibeeval/vibecosystem --skill cost-optimization-patterns

The instruction itself

10 sections, as written by the author

Cost Optimization Patterns

Cloud Cost Optimization

Right-Sizing

# AWS - Compute Optimizer önerileri
aws compute-optimizer get-ec2-instance-recommendations

# CPU/Memory utilization < 20% → downsize
# CPU/Memory utilization > 80% → upsize veya auto-scale

Instance Strategy

| Strateji | Tasarruf | Risk | Use Case |

|----------|---------|------|----------|

| On-Demand | 0% | Düşük | Değişken workload |

| Reserved (1yr) | %30-40 | Orta | Steady-state |

| Reserved (3yr) | %50-60 | Yüksek | Uzun vadeli |

| Spot/Preemptible | %60-90 | Yüksek | Batch, CI/CD |

| Savings Plans | %30-50 | Düşük | Flexible commitment |

Serverless Cost

Lambda cost = (requests × $0.20/1M) + (GB-seconds × $0.0000166)

Optimizasyon:
1. Memory right-sizing (power tuning)
2. Provisioned concurrency (cold start vs cost tradeoff)
3. ARM architecture (%20 ucuz)
4. Batch processing (SQS batch size)

LLM/API Token Cost

// Token maliyet takibi
const MODEL_COSTS = {
  'claude-opus-4-6':   { input: 15.0, output: 75.0 },   // per 1M tokens
  'claude-sonnet-4-6': { input: 3.0,  output: 15.0 },
  'claude-haiku-4-5':  { input: 0.80, output: 4.0 }
} as const

function estimateCost(model: string, inputTokens: number, outputTokens: number) {
  const costs = MODEL_COSTS[model]
  return (inputTokens * costs.input + outputTokens * costs.output) / 1_000_000
}

Build Time Optimization

| Teknik | Tasarruf | Karmaşıklık |

|--------|---------|-------------|

| Dependency caching | %30-50 | Düşük |

| Parallel test execution | %40-60 | Düşük |

| Incremental builds | %50-70 | Orta |

| Docker layer caching | %20-40 | Düşük |

| Affected-only (monorepo) | %60-80 | Orta |

Database Cost

-- Pahalı query'leri bul
SELECT query, calls, mean_exec_time, total_exec_time
FROM pg_stat_statements
ORDER BY total_exec_time DESC
LIMIT 20;

-- Unused index'leri bul (gereksiz storage + write overhead)
SELECT indexrelname, idx_scan
FROM pg_stat_user_indexes
WHERE idx_scan = 0 AND indexrelname NOT LIKE '%pkey%';

Checklist

  • [ ] Cloud cost alerting aktif (budget alarm)
  • [ ] Unused resources temizlenmiş
  • [ ] Right-sizing review (aylık)
  • [ ] Reserved/Spot instance kullanımı
  • [ ] CDN cache hit ratio >90%
  • [ ] Database query optimization
  • [ ] Build cache aktif
  • [ ] Tag-based cost allocation

Anti-Patterns

  • Over-provisioned "just in case" resources
  • Unused EBS volumes, idle load balancers
  • Data transfer between regions (pahalı)
  • CloudWatch log retention unlimited
  • Her environment production-grade

How to use it

Copy the folder

Take vibeeval/cost-optimization-patterns from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.