ferrox-ai-integration-phase

Create an AI-SPEC.md design contract before AI system implementation.

21|9|Updated Jul 21, 2026

Search Tags:#workflow #design #research #specification #ai #evaluation

Ready to run

npx skills add https://github.com/FerroxLabs/ferrox-factory --skill ferrox-ai-integration-phase

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ferrox-ai-integration-phase
Source: https://github.com/FerroxLabs/ferrox-factory/tree/main/skills/ferrox-ai-integration-phase
Command: npx skills add https://github.com/FerroxLabs/ferrox-factory --skill ferrox-ai-integration-phase

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you define an AI system’s design and evaluation plan before implementation starts, reducing ambiguity, rework, and unverified agent behavior.

Core Features & Use Cases

AI Design Contract Creation: Produces an AI-SPEC.md that locks down the intended architecture, responsibilities, and constraints for a phase involving AI work.
Framework and Research Orchestration: Coordinates framework selection, documentation research, domain research, and evaluation strategy design in a fixed workflow.
Use Case: When a product phase requires an AI feature, use this Skill to ensure the model choice, domain assumptions, and evaluation criteria are all specified before development begins.

Quick Start

Use the ferrox-ai-integration-phase skill to create an AI-SPEC.md for the current phase and include the phase number if you already know it.

Frequently Asked Questions about ferrox-ai-integration-phase

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

FAQPage Schema

How do I create an AI design specification before starting implementation?▼

An AI design contract specifies the intended architecture, responsibilities, and constraints for a phase involving AI work. It reduces ambiguity and unverified agent behavior by documenting design and evaluation decisions before implementation starts.

Why do I need an evaluation strategy defined before building an AI system?▼

Defining an evaluation strategy before building an AI system reduces ambiguity and unverified agent behavior. This Skill orchestrates evaluation strategy design alongside framework selection to ensure model choice and domain assumptions are specified upfront.

What's the best way to document model framework selection and domain research for an AI product phase?▼

The best way to document framework selection and domain research is through a fixed workflow that produces an AI-SPEC.md. This Skill coordinates research and planning steps to pin down model choice, domain assumptions, and evaluation criteria.

Can I use this workflow planning approach for any AI feature development phase?▼

Yes, you can use this workflow planning approach for any product phase requiring an AI feature. It applies to phases that need design and evaluation decisions documented first, coordinating research to produce a pinned-down specification.

What should be included in an AI design contract to prevent unverified agent behavior?▼

An AI design contract should include the intended architecture, responsibilities, constraints, model choice, domain assumptions, and evaluation criteria. This Skill ensures all these elements are specified in an AI-SPEC.md before development begins.