Can it help reduce LLM API costs?

Yes, it includes specific patterns for token calculation, context window optimization, and prompt refinement to reduce overhead and minimize API expenses.

Does it support streaming responses?

Absolutely. It provides guidance on implementing streaming with progress indicators to improve perceived latency and provide a better user experience.

Why focus on structured output?

Unstructured output is prone to breaking; using JSON mode or function calling with validation ensures your backend can reliably process AI-generated data.

How does this skill help with AI hallucinations?

It enforces structured output validation and fact-checking patterns to ensure LLM responses remain grounded, formatted correctly, and accurate before reaching the user.

How does it handle prompt security?

The skill includes defense-in-depth patterns to sanitize user inputs and validate outputs, protecting your application against prompt injection and harmful content.

AI Product Engineering

Name: AI Product Engineering
Author: claudiodearaujo

byclaudiodearaujo

•

数据科学与机器学习

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

This skill provides a comprehensive framework for transforming AI prototypes into reliable, scalable production systems. It guides developers through implementing structured outputs with schema validation, managing streaming responses for better UX, and optimizing context windows to reduce latency and costs. By enforcing best practices like prompt versioning and asynchronous processing, it helps mitigate common AI pitfalls such as hallucinations, high API expenses, and unstable outputs, ensuring your AI features are trust-worthy and production-ready.

主要功能

01Real-time streaming patterns with progress indicators

02Structured output implementation with JSON schema validation

031 GitHub stars

04Prompt versioning and regression testing workflows

05Context window optimization and token management

06Defense-in-depth security for prompt injection and output safety

使用场景

01Scaling a prototype LLM feature to a high-traffic production environment

02Reducing operational costs and latency for complex RAG applications

03Implementing reliable AI workflows that require strict data formatting

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

Download Skill