Learning Objectives

After completing this chapter, participants will be able to:

• Turn a general functional description into structured ISSUE-n.md files.
• Use AI to identify user stories, functions, issue boundaries, and required skills.
• Combine generated issues with SKILLS.md and topic-specific skills.
• Review AI-generated decomposition before implementation starts.
• Build a repeatable "skill factory" workflow for future projects.

The Idea

A skill factory is a workflow that turns rough product intent into implementation-ready issues. The human provides the functional description, the AI proposes user stories and issue files, and the team validates the result against SKILLS.md.

In Copilot-based workflows, these generated issues become the structured tasks that Copilot can implement one branch at a time while following the same skill references and validation expectations.

The goal is not to let AI invent the product. The goal is to let AI create a first structured draft that humans can review, split, improve, and connect to the right skills.

This keeps Predictive Development focused on consistent, scalable, production-ready code rather than one-off prompt results.