accessibility-patterns
WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
Cloud cost optimization, token/API cost tracking, build time optimization, and FinOps patterns
Claude Code
$ npx -y skills add vibeeval/vibecosystem --skill cost-optimization-patterns --agent claude-code
Codex
$ npx skills add vibeeval/vibecosystem --skill cost-optimization-patterns -a codex -y
Cursor
$ npx skills add vibeeval/vibecosystem --skill cost-optimization-patterns -a cursor -y
Gemini CLI
$ npx skills add vibeeval/vibecosystem --skill cost-optimization-patterns -a gemini-cli -y
GitHub Copilot
$ npx skills add vibeeval/vibecosystem --skill cost-optimization-patterns -a github-copilot -y
OpenCode
$ npx skills add vibeeval/vibecosystem --skill cost-optimization-patterns -a opencode -y
Windsurf
$ npx skills add vibeeval/vibecosystem --skill cost-optimization-patterns -a windsurf -y
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%';
Your AI software team. Built on Claude Code. vibecosystem turns Claude Code into a full AI software team — 138 specialized agents that plan, build, review, test, and learn from every mistake. No configuration needed — just install and code.
WCAG 2.2 AA compliance, ARIA patterns, keyboard navigation, screen reader optimization
axe-core integration, WCAG 2.2 AA checklist, keyboard navigation testing, screen reader testing, and ARIA pattern validation.
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