Using User Stories

What it does

This skill enables AI agents to generate, edit, and manage user stories within development workflows. It bridges the gap between raw requirements and actionable tasks by structuring them into clear, testable narratives for software teams.

When to use it

• Translating vague stakeholder requests into structured "As a... I want... So that..." format.
• Breaking down large epics into smaller, manageable user stories for sprint planning.
• Updating existing backlog items based on new feedback or changing project priorities.
• Generating acceptance criteria to ensure developers and testers share a unified understanding of success.

Key capabilities

• Creating new user stories from scratch based on natural language descriptions.
• Modifying existing story details, including titles, descriptions, and priority levels.
• Organizing stories into logical groups or epics for better workflow management.
• Ensuring output adheres to standard Agile formatting conventions.

Example prompts

• "Convert this paragraph about a new login feature into three distinct user stories with acceptance criteria."
• "Update the priority of the 'Export to CSV' story to high and add a note about GDPR compliance."
• "Generate a list of user stories for a mobile app's dark mode implementation, focusing on battery efficiency."

Tips & gotchas

Ensure you provide sufficient context about the target audience or system constraints when asking the agent to create stories. The skill relies on clear input; vague requirements may result in generic outputs that lack specific technical detail.