Agent skill · marketing growth · davila7
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. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.
Why this skill is useful
Provides specific patterns and implementation examples for building AI products that leverage various AI APIs, which the AI wouldn't reliably generate on its own.
What it needs
Requires anthropic, openai account access. About 4k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.
What this skill does
AI Wrapper Product 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. 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 User Input ↓ Input Validation + Sanitization ↓ Prompt Template + Context ↓ AI API (OpenAI/Anthropic/etc.) ↓ Output Parsing + Validation ↓ User-Friendly Response 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 systemPrompt = You are a ${context.role}. Always respond in ${context.format}. Tone: ${context.tone}; // 3. Call API const response = await anthropic.messages.create({ model: 'claude-haiku-4-5-20251001', maxtokens: 1000, system: systemPrompt, messages: [{ role: 'user', content: userInput }] }); // 4. Parse and validate output const output = response.content[0].text; return parseOutput(output); } Prompt Engineering for Products Production-grade prompt design When to use: When building AI product prompts javascript const promptTemplates = { emailWriter: { system: You are an expert email writer. Write professional, concise emails. Match the requested tone. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills davila7/ai-wrapper-product