Cost Optimization Patterns

Community

vibeeval

cost-optimization-patterns

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

Overview

Publisher	vibeeval
Repository	`vibecosystem`
Skill name	`cost-optimization-patterns`
Stars	533
Forks	44
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by vibeeval on GitHub. Read the source before you install it.

Installation

Install the Cost Optimization Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/vibeeval/vibecosystem/tree/main/skills/cost-optimization-patterns
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/vibeeval/vibecosystem.git /tmp/vibecosystem
mkdir -p .claude/skills
cp -r /tmp/vibecosystem/skills/cost-optimization-patterns .claude/skills/cost-optimization-patterns

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cost Optimization Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cost Optimization Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cost Optimization Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cost Optimization Patterns

Cloud Cost Optimization

Right-Sizing

bash
# 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

typescript
// 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

sql
-- 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

Frequently asked questions

What does the Cost Optimization Patterns AI skill do?

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

Why use Cost Optimization Patterns on TypingMind?

Because you install it once and use it with any model. Cost Optimization Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cost Optimization Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vibeeval/vibecosystem/tree/main/skills/cost-optimization-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cost Optimization Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cost Optimization Patterns?

As many as you like. As long as a model supports skills, you can use Cost Optimization Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cost Optimization Patterns AI skill free?

Yes. It is published on GitHub by vibeeval under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Cost Optimization Patterns

Cloud Cost Optimization

Right-Sizing

Instance Strategy

Serverless Cost

LLM/API Token Cost

Build Time Optimization

Database Cost

Checklist

Anti-Patterns

Frequently asked questions

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