gsd-ai-integration-phase

Generate an AI-SPEC.md design contract for AI system development phases.

4|1|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/lgwanai/openforce --skill gsd-ai-integration-phase-lgwanai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gsd-ai-integration-phase
Source: https://github.com/lgwanai/openforce/tree/main/skills/gsd-ai-integration-phase
Command: npx skills add https://github.com/lgwanai/openforce --skill gsd-ai-integration-phase-lgwanai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It removes ambiguity when planning and building AI features by converting an AI integration phase into a clear design contract (AI-SPEC.md) that aligns framework selection, research, evaluation strategy, and execution flow.

Core Features & Use Cases

  • Phase design contract generation: produces an AI-SPEC.md for a specific development phase and tracks the next phase when the phase number is omitted.
  • Framework-to-eval orchestration: coordinates gsd-framework-selector → gsd-ai-researcher → gsd-domain-researcher → gsd-eval-planner to ensure the design is grounded in relevant references and backed by an evaluation plan.
  • Research-driven AI system design: gathers AI frameworks, evaluation guidance, and domain materials to produce an actionable build-and-test strategy for the phase.

Quick Start

Run the skill with the next phase number to generate AI-SPEC.md for your AI system 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 an AI integration phase to eliminate planning ambiguity?▼

To generate a design contract for an AI integration phase, this skill orchestrates framework selection, research synthesis, and evaluation planning into an AI-SPEC.md file. It aligns workflow gates and tracks the next phase automatically if the phase number is omitted.

What is the best way to align AI framework selection with an evaluation strategy?▼

The best way to align framework selection with an evaluation strategy is to orchestrate a workflow that connects the framework selector, AI researcher, domain researcher, and evaluation planner. This ensures the AI design contract is grounded in relevant references and backed by a test plan.

How do I synthesize domain and AI research into an actionable build-and-test strategy?▼

You can synthesize domain and AI research into an actionable build-and-test strategy by running a phase planning workflow that gathers AI frameworks, evaluation guidance, and domain materials. The output is a ready-to-execute spec that preserves workflow gates.

Do I need to manually specify the phase number when generating an AI-SPEC.md?▼

You do not need to manually specify the phase number when generating an AI-SPEC.md. The skill supports optional phase-number auto-detection, automatically tracking and generating the design contract for the next development phase when the number is omitted.

Can I use workflow orchestration to coordinate multiple research and planning components for AI system design?▼

Yes, you can use workflow orchestration to coordinate multiple components for AI system design. This skill orchestrates framework selection, AI research, domain research, and evaluation planning to produce a cohesive design contract without misalignment.