AI Wrapper Product

dokhacgiakhoa/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.

2k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

505

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill ai-wrapper-product

What comes with it

5 540 bytes besides the instruction

sub-skills/ai-product-architecture.md

sub-skills/basic-implementation.md

sub-skills/cost-management.md

sub-skills/cost-reduction-strategies.md

sub-skills/ignoring-costs-until-scale.md

sub-skills/model-selection.md

sub-skills/no-output-validation.md

sub-skills/output-control.md

sub-skills/prompt-engineering-for-products.md

sub-skills/prompt-template-pattern.md

sub-skills/quality-control.md

sub-skills/the-wrapper-stack.md

sub-skills/thin-wrapper-syndrome.md

sub-skills/token-economics.md

sub-skills/usage-limits.md

The instruction itself

19 sections, as written by the author

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

🧠 Knowledge Modules (Fractal Skills)

1. AI Product Architecture

2. The Wrapper Stack

3. Basic Implementation

4. Model Selection

5. Prompt Engineering for Products

6. Prompt Template Pattern

7. Output Control

8. Quality Control

9. Cost Management

10. Token Economics

11. Cost Reduction Strategies

12. Usage Limits

13. ❌ Thin Wrapper Syndrome

14. ❌ Ignoring Costs Until Scale

15. ❌ No Output Validation

How to use it

Copy the folder

Take dokhacgiakhoa/ai-wrapper-product from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.