Can it help reduce LLM API costs?

Yes, it includes specific patterns for token calculation, prompt optimization, and avoiding 'context stuffing' to keep API bills manageable.

What does the ai-product skill help with?

It provides best practices for building stable, production-ready AI features, focusing on reliability, safety, and scalability beyond simple demos.

How does it handle LLM hallucinations?

It emphasizes structured output validation, defense-in-depth patterns, and fact-checking logic to catch and correct hallucinations before they reach the user.

When should I use this skill?

Use it when you are implementing LLM features, designing RAG systems, or need to ensure your AI integration is secure and performant for end-users.

AI Product Development

Name: AI Product Development
Author: claudiodearaujo

byclaudiodearaujo

0•

Data Science & ML

Builds production-grade AI features using robust LLM integration patterns, RAG architectures, and cost-efficient prompt engineering.

The AI Product Development skill transforms Claude into a senior AI engineer focused on moving beyond fragile demos to stable, scalable, and secure AI applications. It provides expert guidance on structured output validation, RAG (Retrieval-Augmented Generation) patterns, streaming user interfaces, and prompt versioning. By enforcing strict best practices for security, hallucination mitigation, and cost optimization, this skill helps developers build AI features that users can trust without breaking the bank.

Key Features

01Structured JSON and function calling validation

02Real-time LLM response streaming for better UX

030 GitHub stars

04Prompt versioning and regression testing workflows

05RAG architecture and context window management

06API cost monitoring and token optimization

Use Cases

01Transitioning an AI prototype into a stable production environment

02Implementing secure and validated RAG systems for private data

03Optimizing LLM latency and reducing API operational costs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front ai-product

For use in Claude.ai and ChatGPT

Key Features

01Structured JSON and function calling validation

02Real-time LLM response streaming for better UX

030 GitHub stars

04Prompt versioning and regression testing workflows

05RAG architecture and context window management

06API cost monitoring and token optimization

Use Cases

01Transitioning an AI prototype into a stable production environment

02Implementing secure and validated RAG systems for private data

03Optimizing LLM latency and reducing API operational costs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front ai-product

For use in Claude.ai and ChatGPT