Skip to content
Module
Module 4 of 5Lesson 2 of 4~10 min

Case study: the skill in a real PRD workflow

A skill alone does not guarantee a deliverable ready to present, and fixing every output by hand cancels out the time saved. This case study shows you how to place a skill in a sequence of control steps to produce a PRD, and how to improve the skill itself from the feedback rather than its outputs.

Lesson objective

By the end of this lesson, you will be able to chain a skill with control steps (brief, generation, critical review, committee version) and feed the feedback back into the skill rather than fixing every output by hand.

Topics covered

  • PRD with AI
  • skill workflow
  • Claude Skills
  • critical review
  • writing a PRD

Where it fits

Test, share and measure

How do I prove a skill works, use it in a real workflow, share it safely and track its value?

Lessons in this module

  1. Test a skill before relying on it
  2. Case study: the skill in a real PRD workflow (this lesson)
  3. Choose, audit and share skills
  4. Measure value and help a skill mature

What you will learn in the course

This lesson is part of the course Build reliable Claude Skills for your product work

  • Identify a recurring task that justifies a skill rather than a one-off prompt, and explain how the skill is loaded (progressive disclosure).
  • Choose and justify the right mechanism for a given need (skill, CLAUDE.md, subagent, MCP server, hook).
  • Write a name and description that trigger the skill at the right moment, and choose who can invoke it.
  • Design a complete SKILL.md (frontmatter, checkable rules, procedure, output format, reference files) from a scoping brief.
  • Configure a skill's pre-approved and removed tools according to risk, without confusing pre-approval with restriction.
  • Test a skill's triggering and output with evaluation scenarios, iterate, then measure its value over time.
  • Choose, audit and share skills (third-party or internal) while managing the security risks.