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Cloud cost optimization, token/API cost tracking, build time optimization, and FinOps patterns
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
OpenAI Codex CLI + Claude Code (Hizir) birlikte kullanim rehberi. Is dagitim pattern'leri, GitHub Actions workflow ornekleri, review dongusu ve iki AI yazilim asistaninin guclu yanlarini birlestiren orchestration stratejileri.
Create handoff document for transferring work to another session
Otonom deney dongusu. Kod degisikligi yap, olc, karsilastir, kabul et veya geri al. Metrik bazli karar verme ile performans, boyut veya kalite optimizasyonu. Tek basina veya agent ile kullan.
Planning agent that creates implementation plans and handoffs from conversation context
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
Pre-push API key and credential scanner - blocks git push if secrets found
| name | cost-optimization-patterns |
| description | Cloud cost optimization, token/API cost tracking, build time optimization, and FinOps patterns |
# AWS - Compute Optimizer önerileri
aws compute-optimizer get-ec2-instance-recommendations
# CPU/Memory utilization < 20% → downsize
# CPU/Memory utilization > 80% → upsize veya auto-scale
| 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 |
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)
// 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
}
| 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 |
-- 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%';