ai-engineer

Orchestrate full-stack development from research papers to production software products.

6|1|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/aviskaar/open-org --skill ai-engineer-aviskaar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-engineer
Source: https://github.com/aviskaar/open-org/tree/main/skills/ai-engineer
Command: npx skills add https://github.com/aviskaar/open-org --skill ai-engineer-aviskaar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill bridges the gap between research breakthroughs and production-ready software, orchestrating the end-to-end development process from initial research concepts to a fully scaled product.

Core Features & Use Cases

  • End-to-End Product Development: Manages the entire software development lifecycle, including PRD creation, tech stack selection, AI/ML integration, backend development, and UI delegation.
  • Research-to-Product Translation: Ensures research findings are accurately translated into product requirements and implemented correctly.
  • Orchestration of Sub-skills: Coordinates specialized skills like auto-website-builder and lead-researcher for a cohesive build process.
  • Use Case: A research team has developed a novel image recognition model. The AI Engineer skill takes the research paper, defines the product requirements, selects the tech stack, integrates the model, and orchestrates the build of a web application that leverages this model, delegating the UI to auto-website-builder.

Quick Start

Use the ai-engineer skill to transform the research paper 'novel-image-model.pdf' into a production-ready web application.

Frequently Asked Questions about ai-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn an AI research paper into a production-ready software product?

To turn an AI research paper into a production-ready software product, orchestrate the full-stack development lifecycle by translating research findings into PRDs, selecting a tech stack, integrating AI/ML models, and coordinating backend development.

What is research-to-product engineering and how does it work?

Research-to-product engineering bridges the gap between AI research breakthroughs and production software. It works by managing the end-to-end development process, accurately translating novel models into product requirements, and integrating them into scalable backend architectures.

How do I manage AI integration and backend development for a new ML model?

Managing AI integration and backend development for a new ML model requires defining product requirements and designing a full-stack architecture. You orchestrate the integration of the model into the backend while delegating UI tasks to specialized sub-skills.

Can I automate tech stack selection and PRD creation from research findings?

Yes, you can automate tech stack selection and PRD creation from research findings. The orchestration process translates research data into structured product requirements and selects appropriate architectures to build a scalable web application.

Does full-stack AI orchestration work with delegated UI and frontend builds?

Yes, full-stack AI orchestration works with delegated UI builds by using specialized sub-skills like auto-website-builder. The engineering lead coordinates backend AI integration while delegating frontend web application creation to these tools.