prompt-optimizer
> Prompt verimliliğini artırma ve token maliyeti düşürme metodolojisi.
npx skills add majiayu000/claude-skill-registry --skill prompt-optimizer-vuralserhat86-antigravity-agentic --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
--- name: prompt_optimizer router_kit: AIKit description: Mevcut promptların token kullanımını ve başarı oranını optimize etme. metadata: skillport: category: ai tags: [agents, algorithms, artificial intelligence, automation, chatbots, cognitive services, deep learning, embeddings, frameworks, generative ai, inference, large language models, llm, machine learning, model fine-tuning, natural language processing, neural networks, nlp, openai, prompt engineering, prompt optimizer, rag, retrieval augmented generation, tools, vector databases, workflow automation] - prompt-refinement --- # ⚡ Prompt Optimizer > Prompt verimliliğini artırma ve token maliyeti düşürme metodolojisi. --- *Prompt Optimizer v1.1 - Enhanced* ## 🔄 Workflow > **Kaynak:** [Anthropic - Prompt Engineering Best Practices](https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering) ### Aşama 1: Analysis & Benchmarking - [ ] **Analyze**: Mevcut promptun nerede hata yaptığını veya neden çok token harcadığını belirle. - [ ] **Baseline**: Başarı oranını ve ortalama token sayısını kaydet. ### Aşama 2: Rewriting & Compression - [ ] **Clarity**: Gereksiz yan cümleleri at, net emir kipleri kullan. - [ ] **Compres
- 🔄 Workflow
- Aşama 1: Analysis & Benchmarking
- Aşama 2: Rewriting & Compression
- Aşama 3: Verification (A/B Test)
- Kontrol Noktaları
What does the prompt-optimizer skill do?
> Prompt verimliliğini artırma ve token maliyeti düşürme metodolojisi.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill prompt-optimizer-vuralserhat86-antigravity-agentic --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.