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Key Takeaways

  • A skill factory turns rough functional descriptions into structured issue drafts.
  • AI is useful for generating user stories, function groups, and ISSUE-n.md files.
  • SKILLS.md provides the default engineering rules for every generated issue.
  • Topic-specific skills provide the domain and feature context the issue needs.
  • Generated issues must be reviewed before implementation.
  • Small issue files create predictable Copilot sessions, branches, pull requests, and validation loops.
  • Production-ready generation requires explicit tests, Storybook states, accessibility expectations, and CI checks.
  • The output of completed issues should feed back into the skill system.

Final Thought​

The skill factory does not replace product thinking or engineering judgment.

It accelerates the path from intent to structured work, while keeping humans responsible for the quality of the decomposition.

That is what makes the workflow predictive: Copilot receives structured issues, stable skills, and clear validation criteria before code generation starts.