Does it support structured data output?

Yes, it prioritizes function calling and JSON mode with schema validation to ensure the LLM returns consistent, machine-readable data that won't break your application.

Can I use this for RAG (Retrieval-Augmented Generation)?

Absolutely. The skill includes best practices for RAG architecture, focusing on delivering high-quality context while avoiding the performance hits of context window stuffing.

How does this skill help manage LLM API costs?

It provides specific patterns for tracking per-request costs, calculating tokens before sending requests, and optimizing context windows to prevent unnecessary overhead.

What safety features are included?

The skill enforces defense-in-depth strategies, including input sanitization to prevent prompt injection and mandatory validation of factual claims to reduce hallucinations.

How does it improve AI user experience?

It implements streaming patterns and progress indicators to reduce perceived latency, ensuring users see immediate feedback while the LLM generates long-form responses.

AI Product Development

Name: AI Product Development
Author: claudiodearaujo

byclaudiodearaujo

0•

データサイエンスとML

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

The AI Product Development skill transforms Claude into a senior AI engineer capable of moving features from fragile demos to stable production environments. It provides deep expertise in structured JSON validation, streaming response patterns, and prompt versioning to ensure reliability. By enforcing strict security layers and token management, this skill helps developers build AI-powered applications that are secure, cost-optimized, and resilient against common LLM failure modes like hallucinations and prompt injections.

主な機能

01Enforces prompt versioning and regression testing frameworks

020 GitHub stars

03Optimizes AI UX via response streaming and progress indicators

04Provides cost-optimization patterns for token and context management

05Mitigates security risks through input sanitization and output verification

06Implements structured JSON output with strict schema validation

ユースケース

01Implementing safety layers to catch hallucinations and malicious inputs

02Building a cost-efficient RAG system with optimized context windows

03Scaling an AI prototype into a reliable, high-traffic production feature

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter ai-product

For use in Claude.ai and ChatGPT

Download Skill