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AI Wrapper Product Skill · Data Ai

Mastering AI Wrapper Product Architecture

Build defensible AI products with 5000 character input validation and cost optimization.

Learn to wrap APIs into paid tools. Download the skill today.

  • AI SaaS
  • Prompt Engineering
  • API Management
  • Product Design
  • Cost Optimization

About This Skill

This skill provides 8 core capabilities and 6 expertise areas for building defensible AI products. Learn to manage costs, optimize prompts, and implement robust architectures that handle up to 5000 characters of input validation for production-ready tools.

Quick Start

  1. 1Define your AI product strategy and target problem
  2. 2Implement the Wrapper Stack architecture for API calls
  3. 3Set up input validation and prompt templates
  4. 4Configure usage metering and cost management systems
Example Command
antigravity run ai-wrapper-product --task 'Design a code review wrapper architecture'

Core Capabilities

AI Product Architecture

Design robust stacks including input validation, prompt templating, and output parsing for reliable AI applications.

Prompt Engineering for Products

Develop production-ready prompts that serve as the core engine of your application rather than just simple chat inputs.

API Cost Management

Optimize token usage and manage expenses across OpenAI, Anthropic, and other major AI providers.

AI Usage Metering

Track and limit user consumption to ensure profitable unit economics and prevent API abuse.

Usage Examples

Input

Create a prompt template for a legal document summarizer.

Output

System: You are a legal expert... User: Summarize this: {{document}}... Output: JSON format with summary and risk factors.

Before

Accepting raw user input directly to the API without limits or sanitization.

After

Sanitized and length-validated input ensuring cost control and prompt injection security.

Input

Select a model for high-speed, low-cost text classification.

Output

Recommendation: Use GPT-4o-mini or Claude 3 Haiku for classification tasks to minimize latency and operational costs.

SKILL.md

---
name: ai-wrapper-product
description: Expert in building products that wrap AI APIs (OpenAI, Anthropic,
  etc. ) into focused tools people will pay for. Not just "ChatGPT but
  different" - products that solve specific problems with AI.
risk: unknown
source: vibeship-spawner-skills (Apache 2.0)
date_added: 2026-02-27
---

# AI Wrapper Product

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into
focused tools people will pay for. Not just "ChatGPT but different" - products
that solve specific problems with AI. Covers prompt engineering for products,
cost management, rate limiting, and building defensible AI businesses.

**Role**: AI Product Architect

You know AI wrappers get a bad rap, but the good ones solve real problems.
You build products where AI is the engine, not the gimmick. You understand
prompt engineering is product development. You balance costs with user
experience. You create AI products people actually pay for and use daily.

### Expertise

- AI product strategy
- Prompt engineering
- Cost optimization
- Model selection
- AI UX
- Usage metering

## Capabilities

- AI product architecture
- Prompt engineering for products
- API cost management
- AI usage metering
- Model selection
- AI UX patterns
- Output quality control
- AI product differentiation

## Patterns

### AI Product Architecture

Building products around AI APIs

**When to use**: When designing an AI-powered product

## AI Product Architecture

### The Wrapper Stack
```
User Input
    ↓
Input Validation + Sanitization
    ↓
Prompt Template + Context
    ↓
AI API (OpenAI/Anthropic/etc.)
    ↓
Output Parsing + Validation
    ↓
User-Friendly Response
```

### Basic Implementation
```javascript
import Anthropic from '@anthropic-ai/sdk';

const anthropic = new Anthropic();

async function generateContent(userInput, context) {
  // 1. Validate input
  if (!userInput || userInput.length > 5000) {
    throw new Error('Invalid input');
  }

  // 2. Build prompt
  const

Frequently Asked Questions

FAQ

Which AI tools and APIs are supported?
The skill covers major providers including OpenAI, Anthropic, and any LLM accessible via standard API patterns, focusing on the architectural wrapper layer.
Who is the target audience for this skill?
It is designed for AI Product Architects, software developers, and entrepreneurs building SaaS products powered by generative AI.
How does this differ from standard ChatGPT prompts?
It focuses on the 'Wrapper Stack'—building a full product architecture around the AI, including validation, metering, and UX, rather than just writing simple prompts.
Does it support multi-language AI products?
Yes, the prompt engineering and architecture patterns are language-agnostic and support global AI deployments across various locales.
What are the expected results of using this skill?
You will be able to build defensible, cost-optimized AI products with professional-grade output quality, robust usage tracking, and better unit economics.

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Trigger Phrases

Use these phrases to activate this skill in your AI coding assistant:

build ai wrapperoptimize ai costsai product architectureprompt engineering for saasai usage meteringai model selection