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.