gsd-ai-integration-phase

Generate an AI-SPEC.md design contract via a multi-agent research and planning workflow.

1|Updated Apr 4, 2026

Search Tags:#multi-agent #workflow-automation #ai-evaluation #ai-integration #design-contract #gsd-framework

Ready to run

npx skills add https://github.com/nnexai/git-stacks --skill gsd-ai-integration-phase-nnexai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gsd-ai-integration-phase
Source: https://github.com/nnexai/git-stacks/tree/main/.codex/skills/gsd-ai-integration-phase
Command: npx skills add https://github.com/nnexai/git-stacks --skill gsd-ai-integration-phase-nnexai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the complexity of managing multi-agent AI development phases by providing a structured, repeatable design contract that ensures consistency across research, framework selection, and evaluation planning.

Core Features & Use Cases

Automated Workflow Orchestration: Coordinates a multi-agent pipeline including framework selection, domain research, and evaluation strategy design.
Design Contract Generation: Automatically produces an AI-SPEC.md file to serve as the source of truth for AI system development phases.
Use Case: When starting a new AI feature, use this skill to generate a comprehensive design specification that aligns your research and evaluation plans before writing any code.

Quick Start

Invoke the gsd-ai-integration-phase skill to generate an AI design contract for the next development phase.

Frequently Asked Questions about gsd-ai-integration-phase

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

FAQPage Schema

How do I generate a design contract for AI integration phases?▼

Generating an AI design contract involves orchestrating a multi-agent workflow that coordinates framework selection, domain research, and evaluation strategy to automatically produce an AI-SPEC.md file. This ensures structured planning before writing code.

What is a multi-agent workflow for AI system design?▼

A multi-agent workflow for AI system design is an orchestrated pipeline that automates task dispatch across research, framework selection, and evaluation planning. It preserves workflow gates to generate standardized documentation for AI integration phases.

How do I plan an AI evaluation strategy before development?▼

Planning an AI evaluation strategy requires defining the evaluation criteria within a structured design contract. This is achieved through a multi-agent research workflow that outputs an AI-SPEC.md file to align evaluation plans with domain research.

When do I need a standardized design contract for AI features?▼

You need a standardized design contract when starting a new AI feature to ensure consistency across research and evaluation planning. It serves as the source of truth for agent-based task dispatch and framework selection before coding begins.

Does multi-agent workflow automation work without external dependencies?▼

Yes, multi-agent workflow automation for AI integration phases operates without external dependencies. It internally orchestrates framework selection, domain research, and evaluation strategy design to generate the required AI-SPEC.md documentation.

What is the best way to structure AI framework selection in software engineering?▼

The best way to structure AI framework selection is through an automated multi-agent pipeline that evaluates domain research and evaluation strategies. This approach generates a comprehensive design specification to align development phases.